Global Dairy Automation Market Size, Status and Forecast 2020-2026 explains the historic growth of the market and the forecasts the future. The report determines the market properties, industry layout, obstacles in the market, and industry effectiveness. The report covers various aspects of the global Dairy Automation market along with the factors governing the same. The report gives insights of market size, trends, share, growth, development plans, investment plan, cost structure and drivers analysis. The document provides in-depth analysis for new competitors or existing competitors in the market. It focuses on recent trends and developments and the changing structure of the market.

Market Scope:

The scope of the report is limited to the application of the type, and distribution channel.This report presents the worldwide Dairy Automation market size (value, production and consumption), splits the breakdown (data status 20152020 and forecast to 2026), by manufacturers, region, type and application. It analyzes opportunities in the overall market for stakeholders by identifying the high-growth segments. The research report is a compilation of key data with regards to the competitive landscape of this vertical and the multiple regions where the business has successfully established its position.

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NOTE: Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.

Below mentioned companies are analyzed upon their revenue, price margins in the market and main products they offer: Lely, Delaval, ProLeiT, Rockwell Automation, Siemens, ABB Group, BECO Dairy Automation, DSK Digital Technologies,

Market segment by product type split into

along with their consumption (sales), market share and growth rate

Market segment by application, split into Liquid Dairy Industry, Powdery Dairy Industry, Other Dairy Products Industry, along with their consumption (sales), market share and growth rate

Moreover, the report contains comprehensive list ofkey market playersalong with their global Dairy Automation market overview, product protocol, key highlights, key financial issues, SWOT analysis, and business strategies. The study dedicatedly offers helpful solutions for players to increase their clients on a global scale and expand their favor significantly over the forecast period. Major activities employed by leading players such as mergers and acquisitions, collaborations along with new product launches are assessed in the report.

Here are the strengths of the geographic divisions: North America (United States, Canada, Mexico), Asia-Pacific (China, Japan, South Korea, India, Australia, Indonesia, Thailand, Malaysia, Philippines, Vietnam), Europe (Germany, France, UK, Italy, Russia, Rest of Europe), Central & South America (Brazil, Rest of South America), Middle East & Africa (GCC Countries, Turkey, Egypt, South Africa, Rest of Middle East & Africa)

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Magnifier Research is a leading market intelligence company that sells reports of top publishers in the technology industry. Our extensive research reports cover detailed market assessments that include major technological improvements in the industry. Magnifier Research also specializes in analyzing hi-tech systems and current processing systems in its expertise. We have a team of experts that compile precise research reports and actively advise top companies to improve their existing processes. Our experts have extensive experience in the topics that they cover. Magnifier Research provides you the full spectrum of services related to market research, and corroborate with the clients to increase the revenue stream, and address process gaps.

Contact UsMark StoneHead of Business DevelopmentPhone: +1-201-465-4211Email: [emailprotected]Web: http://www.magnifierresearch.com

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Global Dairy Automation Market 2020 with (COVID-19) Impact Analysis, Product Type, Key Manufacturers, Regions and Forecast to 2026 - 3rd Watch News

The Library of Congress, the biggest physical repository of information in the world, has been digitizing its resources, expanding its digital library and developing automation tools to manage its collection. As those tools bear fruit, Library officials now want to reintroduce humans to the process.

The Librarys Digital Innovation Labs Section has undertaken a range of programs aimed at maximizing the use of digital collections and supporting emerging research methods, including using machine learning and crowdsourcing prototypes, according to a solicitation posted Tuesday to beta.SAM.gov. Now, the Library of Congress seeks to build on these initial experiments to further examine models that expand access to digital collections by combining digitally-enabled human participation with computational methods, otherwise known as human-in-the-loop approaches.

As the Librarys digital collection expands, it needs help properly tagging and verifying the metadata attached to the content. Machine learning tools have been plugging along at this task through the pilot programs, but Library officials want humans to help verify the work is being done correctly, as well as ethically.

Through the contract, the Library wants to procure at least two experimental prototypes using human-in-the-loop workflows to model, test, and evaluate different ethical approaches to applying crowdsourcing and machine learning methods to Library digital collections that enhance collection usability, utility, discoverability and user engagement.

Per the solicitation, at least one of the two prototypes will focus on improving metadata through crowdsourcing methods. As users add feedback on the accuracy of the derived metadata, those results will in turn be funneled back into the automation tools to serve as training data for a machine learning algorithm that shall be applied to Library digital collections to create enhanced metadata.

Library officials stressed the need to incorporate user-centered design in the process or risk alienating the volunteers and researchers contributing to the project. The solicitation pushes this concept beyond basic interface design and requires the contractors to consider user motivations and needs in the workflow.

Workflows shall be adaptive to different use cases and user profiles, to ultimately facilitate meaningful and productive user interactions with the Librarys digital collections, according to the statement of work.

Bids are due by noon August 5. The contract will run from September 1 through June 30, 2021.

Go here to read the rest:

Library of Congress Wants To Try Adding Humans to Automated Processes - Nextgov

The report discusses many vital industry facets that influence global IT Process Automation Market industry acutely which includes extensive study of competitive edge, latest advancements, region-wise industry environment, contemporary market and emerging latest trends, leading market contenders, and current tendency of the consumers. The report also oversees market size, market share, growth rate, revenue, and CAGR reported previously along with its forecast estimation.

(Special Offer: Available up-to 20% Discount For a Limited Time Only)

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Top companies operating in the Global IT Process Automation market profiled in the report are:

Microsoft, Cortex, Advanced Systems, Concepts, SMA Solutions, Micro Focus, VMware, Resolve Systems, CA Technologies, ServiceNow

Global IT Process Automation Market Split by Product Type and Applications:

Market Segment by Type, covers:

Manufacturing

Retail

Financial

Government

Others

Market Segment by Applications, covers:

Cloud-based

On-premises

Regional Analysis For IT Process Automation Market:

North America (United States, Canada and Mexico)Europe (Germany, France, UK, Russia and Italy)Asia-Pacific (China, Japan, Korea, India and Southeast Asia)South America (Brazil, Argentina, Colombia etc.)Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Influence of the IT Process Automation Market Report:

-Comprehensive assessment of all opportunities and risk in the IT Process Automation market.

-IT Process Automation market recent innovations and major events.

-Detailed study of business strategies for growth of the IT Process Automation market-leading players.

-Conclusive study about the growth plot of IT Process Automation market for forthcoming years.

-In-depth understanding of IT Process Automation market-particular drivers, constraints and major micro markets.

-Favourable impression inside vital technological and market latest trends striking the IT Process Automation market.

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What are the market factors that are explained in the report?

Executive Summary:It includes key trends of the global IT Process Automation market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the global IT Process Automation market based on production and revenue.

Production and Consumption by Region:It covers all regional markets focused in the research study. It discusses about prices and key players besides production and consumption in each regional market.

Key Players:Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the global IT Process Automation market.

Market Segments:This part of the report discusses about product type and application segments of the global IT Process Automation market based on market share, CAGR, market size, and various other factors.

Research Methodology:This section discusses about the research methodology and approach IT Process Automation used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.

Note-All the reports that we list have been tracking the impact of COVID-19 the market. Both upstream and downstream of the entire supplychain has been accounted for while doing this. Also, where possible, we will provide an additional COVID-19 update supplement/report to the report in Q3, please check for with the sales team.

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IT Process Automation Market Evolving Technology and Growth Outlook 2020-2026 - 3rd Watch News

A study from Forrester recently warned that IT security professionals are becoming increasingly concerned about the rise incyber crimepowered by artificial intelligence (AI).

The study, commissioned by Darktrace, reported that close to 80% of cyber security decision-makers anticipate offensive artificial intelligence (AI) to increase the scale and speed of attacks.

In addition to their quickness, 66% also expect offensive AI to conduct attacks that no human could conceive of. The study warned that these attacks will be stealthy and unpredictable in a way that enables them to evade traditional security approaches that rely on rules and signatures and only reference historical attacks.

According to Forrester, human operators limit the speed with which organisations can detect, interpret and respond to threats. As attackers modify their tactics and beat legacy security tooling, they will move deeper and more quickly into infected networks, the analyst company warned. This lack of speed has serious implications.

Cyber security decision-makers are most concerned about systems or business interruption, intellectual property or data theft, and reputational damage, but help is here thanks to advances in AI.

PA Consultings Lee Howells, an AI and automation expert, and YannisKalfoglou, an AI and blockchain expert, believe that the use and capabilities of AI to attack organisations is growing and becoming more sophisticated.

In a recent Computer Weekly article, Howells andKalfoglousuggested that cyber criminals would inevitably take advantage of AI, and such a move would increase threats to digital security and the volume and sophistication ofcyber attacks.

AI provides multiple opportunities forcyber attacks from the mundane, such as increasing the speed and volume of attacks, to the sophisticated, such as making attribution and detection harder, impersonating trusted users and deep fakes, they wrote.

One example of a simple but elegant AI-based attack is Seymour and Tullys Social Media Automated Phishing and Reconnaissance (SNAP_R). This proof of concept created by security researchers automates the creation of fake tweets with malicious links.

According to Howells andKalfoglou, AIs ability to analyse large amounts of data at pace means many of these attacks are likely to be uniquely tailored to a specific organisation.

The pair warned that these kinds of highly sophisticatedcyber attacks, executed by professional criminal networks leveraging AI and machine learning, will enable attacks to be mounted at a speed and thoroughness that will overwhelm an organisations IT security capabilities.

AI-enabled security automation has the potential to combat AI-powered malicious activity. For instance, Howells andKalfoglousaid an organisation could use behaviour-based analytics, deploying the unparalleled pattern-matching capability of machine learning.

Assuming the appropriate data access consents are in place, the abundance of user behaviour data available from streaming, devices and traditional IT infrastructure gives organisations a sophisticated picture of peoples behaviour, they wrote.

For Howells andKalfoglou, user behavioural data can be analysed to help organisations determine what device is being used at a particular time (for example, iPad at 10pm), what activity the user is typically doing at that time (such as processing emails at 10pm), who is the user they interacting with (for example, no video calls after 10pm due to security policy) and what data is being accessed (for example, to stop shared drive access after 10pm).

They add that this behavioural data can be built, maintained and updated in real time by a well-trained machine learning system. Any detected deviations from the normal pattern will be analysed and trigger an alert that could lead to cyber defence mechanisms being deployed.

IBMs 2019 Cost of a data breach report looked at the relationship between data breach cost and the state of security automation within companies that deploy, or do not deploy, automated security methods and technologies.

Such security technologies aim to augment or replace human intervention in the identification and containment of cyber exploits or breaches and depend upon artificial intelligence, machine learning, analytics and incident response orchestration.

Having systems in place that automate the detection of and response to malicious activity negates the need for human-driven investigation. IBMs research found that over half (52%) of companies studied had security automation partially or fully deployed. The average total cost of a data breach was 95% higher in organisations without security automation deployed.

IBM reported that the average total cost of a data breach was $2.65m for organisations that fully deployed security automation. The cost of a data breach in organisations that did not deploy automation was $5.16m, in other words, some $2.51m higher.

Ivana Bartoletti, a cyber risk technical director at Deloitte and a founder of Women Leading in AI, says AI can be deployed in the training of a system to identify even the smallest behaviours of ransomware and malware attacks before it enters the system and then isolate them from that system. She says AI can also be used to automate phishing and data theft detection, which are extremely helpful as they involve a real-time response.

Security professionals are adopting security information and event management (Siem) tools to enable them to take a holistic approach to monitoring IT security. According to a forecast fromMarketsandMarkets, the global Siem market size is expected to grow 5.5% annually to $5.5bn by 2025. But not every organisation can justify deploying a full Siem system.

Logically, using AI to trawl masses of data to identify threats is not dissimilar to the techniques used in AIOps, where server, network and application logs are analysed. Analyst Gartner says AIOps is primarily used to support IT operations processes that enable monitoring or observation of IT infrastructure, application behaviour or digital experience.

Almost always, AIOps platform investments have been justified on the basis of their ability to decrease mean time to problem resolution and the resultant cost reduction, says the analyst firm.

Gartner analysts wrote in the companys Market guide for AIOps platforms that the benefits of AIOps include reducing event volumes and false alarms. Getting overwhelmed with false positives is a major headache for IT security, leading to legitimate activities being blocked. As Howells andKalfoglousiPad example shows, AI can build an understanding of what constitutes normal user behaviour.

AIOps can additionally detect anomalous values in time-series data. This goes beyond merely knowing when the iPad was used to try to access shared data after 10pm, against company policy.

Instead, the AI can uncover meaning in hidden data and predict an outcome, and such predictions could show security professionals problems long before a data policy violation is flagged.

AI can also perform root cause analysis using bytecode instrumentation or distributed tracing data along with graph analysis, to understand why a data breach occurred.

However, Deloittes Bartoletti warns that over-reliance on AI presents another problem. As AI improves at safeguarding assets, so too does it improve attacking them, she says. As cutting-edge technologies are applied to improve security, cyber criminals are using the same innovations to gain an edge over them. Typical attacks involve gathering system information or sabotaging an AI system by flooding it with requests. AI can augment cyber security so long as organisations know its limitations and have a clear strategy focusing on the present while constantly looking at the evolving threat landscape.

As the game between IT security professionals and hackers intensifies, the battle will inevitably shift to AI-poweredcyber attacksand cyber defences. The question then becomes, whose AI is faster and smarter? Who wins: the cat or the mouse?

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Automating IT security - ComputerWeekly.com

Kenneth Research has published a detailed report on Intelligent Process Automation Market which has been categorized by market size, growth indicators and encompasses detailed market analysis on macro trends and region-wise growth in North America, Latin America, Europe, Asia-Pacific and Middle East & Africa region. The report also includes the challenges that are affecting the growth of the industry and offers strategic evaluation that is required to boost the growth of the market over the period of 2019-2026.

The report covers the forecast and analysis of the Intelligent Process Automation Market on a global and regional level. The study provides historical data from 2015 to 2019 along with a forecast from 2019-2026 based on revenue (USD Million). In 2018, the worldwide GDP stood at USD 84,740.3 Billion as compared to the GDP of USD 80,144.5 Billion in 2017, marked a growth of 5.73% in 2018 over previous year according to the data quoted by International Monetary Fund. This is likely to impel the growth of Intelligent Process Automation Marketover the period 2019-2026.

The Final Report will cover the impact analysis of COVID-19 on this industry.

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Intelligent process automation is the application of artificial intelligence and related new technologies, which include computer vision, cognitive automation, machine learning, and robotic process automation. It is integration of machine learning and robotic process automation, which assists the human work and has the tendency to improve over a period without any command. Intelligent process automation consists of five technologies. These include robotics process automation, smart workflow, machine learning, natural language generation, and cognitive agents.

Organizations are implementing the IPA worldwide to run their business cost-effectively. IPA provides several business benefits, like human-robot orchestration, automation of repetitive and scheduled tasks, ensuring sound governance and reducing risk compliance, process visibility across the whole customer journey, and business agility and speeding up the rapidly changing business processes. The IPA enables companies to identify, model, assess, evaluate, improve, optimize, manage and automate different company procedures to improve their efficiency.

Automation is revolutionizing business processes, both customer-facing, and back-office. Growing demand for automation-led transformation programs with the help of a digital workforce is one major factor driving the market growth. Technological advancements from robotic process automation to Artificial Intelligence (AI) are transforming the landscape of automation. The implementation is majorly focused on productivity, operational efficiency, and building new revenue-generating opportunities.

The Asia Pacific region is expected to have the highest CAGR in the intelligent process automation market during the forecast period, due to its growing technology adoption. This is due to the presence of rapidly growing economies, such as China and India. Rapid economic development, globalization, digitalization, and the increased adoption of cloud-based technologies are expected to drive the growth of the intelligent automation market in the Asia Pacific region.The key players profiled in the intelligent process automation market analysis are IBM Corporation, Atos, Tech Mahindra Limited, Accenture PLC, Tata Consultancy Services Limited, Infosys Limited, Capgemini SE, Cognizant, Genpact, and Xerox Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

KEY MARKET SEGMENTSBy Component*Service*Solution

By Technology*Natural Language Processing*Machine & Deep Learning*Neural Networks*Virtual Agents*Mini Bots*Computer Vision*Others.

By Deployment Mode*Cloud*On-premise

End Users (Revenue, USD Billion*Telecom and IT*Banking, Financial Services, and Insurance (BFSI)*Transport and Logistics*Healthcare*Media and Entertainment*Manufacturing*Retail and ecommerce*Others

By Organization Size*Large Enterprises*SMEs

By Regional AnanlysisNorth America*U.S.*Canada

Europe*Germany*UK*France*Italy*Spain*Belgium*Russia*Netherlands*Rest of Europe

Asia-Pacific*China*India*Japan*Korea*Singapore*Malaysia*Indonesia*Thailand*Philippines*Rest of Asia-Pacific

Latin America*Brazil*Mexico*Argentina*Rest of LATAM

Middle East & Africa*UAE*Saudi Arabia*South Africa*Rest of MEA

Key companies profiled in the report include Atos Group, Blue Prism Group PLC, Cognizant Technology Solutions Corporation, ExlService Holdings, Inc., Genpact Limited, IBM Corporation, Tech Mahindra Limited, Infosys Limited, Wipro Limited, SAP SE, Accenture PLC, Pegasystems, Inc., CGI, Inc., and Tata Consultancy Services Ltd.

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Competitive Analysis:The Intelligent Process Automation Market report examines competitive scenario by analyzing key players in the market. The company profiling of leading market players is included in this report with Porters five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.

Key points covered in this report:*The historical and current data is provided in the report based on which the future projections are made and the industry analysis is performed.*The import and export details along with consumption value and production capability of every region is mentioned in the report.*Porters five forces analysis, value chain analysis, SWOT analysis are some additional important parameters used for the analysis of market growth.*The report provides the clients with the facts and figures about the market on the basis of evaluation of the industry through primary and secondary research methodologies.

ANSWERED TO THE FREQUENTLY ASKED QUESTIONS :

WHAT IS THE SCOPE OF THE REPORT?This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

WHAT ARE THE KEY SEGMENTS IN THE MARKET?*By product type*By End User/Applications*By Technology*By Region

WHICH MARKET DYNAMICS AFFECTS THE BUSINESS?The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.

Key Topic Covered in this Report*Market Growth Opportunities*Leading Market Players*Market Size and Growth Rate*Market Growth Drivers*Company Market Share*Market Trends and Technological

The Intelligent Process Automation Market report highlight the economy, past and emerging trend of industry, and availability of basic resources. Furthermore, the market report explains development trend, analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out. In the end, the report makes some important proposals for a new project of Intelligent Process Automation Market before evaluating its possibility.

About Kenneth Research:Kenneth Research is a reselling agency which focuses on multi-client market research database. The primary goal of the agency is to help industry professionals including various individuals and organizations gain an extra edge of competitiveness and help them identify the market trends and scope. The quality reports provided by the agency aims to make decision making easier for industry professionals and take firm decisions which helps them to form strategies after complete assessment of the market. Some of the industries under focus include healthcare & pharmaceuticals, ICT & Telecom, automotive and transportation, energy and power, chemicals, FMCG, food and beverages, aerospace and defense and others. Kenneth Research also focuses on strategic business consultancy services and offers a single platform for the best industry market research reports.

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Intelligent Process Automation Market Key Insights Based on Product Type, End-use and Regional Demand Till 2026 - 3rd Watch News

Telcos can get hands-on experience with innovations with the lab, and the demonstration showcases the expanding use cases and service agility necessary to support 5G applications.

Image: HPE

Hewlett Packard Enterprise (HPE) unveiled two major 5G initiatives on Thursday: The 5G Lab and a technical demonstration of automated 5G network slice orchestration. Both projects highlight the expanding use cases and growing innovations surrounding 5G connectivity in business.

SEE: Future of 5G: Projections, rollouts, use cases, and more (free PDF) (TechRepublic)

Despite the coronavirus pandemic stifling many organizations' progress and digital transformation initiatives, 5G has continued to grow, a 5G Americas report found. 5G connections globally as of Q1 2020 have surpassed 63.6 million, signifying a 308.7% growth since Q4 2019, according to Omdia data.

Commercial networks are seeing similar growth, with 82 networks now in existence, and it is expected to double to 206 by the end of 2020, a TeleGeography report found. With this growth, HPE took the opportunity to facilitate further innovation, specifically by building multivendor solutions.

"What we are pushing towards the market is the message that it is the time to build multivendor solutions," said Richard Band, head of mobile core and 5G at HPE CMS. "If you look at the 5G market or the core network market there's very few vendors left that can do the end to end [process]."

"Many of our customers, including Orange, are looking for ways to diversify their supplier base," Band added. "Orange wants to build a multivendor network, and this robot demonstration that we've done with them was a first step in building this. The HPE 5G lab is an HPE initiative to encourage the emergence of the multivendor ecosystem."

The HPE 5G Lab is a test environment where telcos and partners can experiment with and validate 5G network solutions. The mission of the lab is to help telcos accelerate 5G adoption and gain revenue quicker by getting hands-one experience with the latest 5G tech, according to a press release.

The lab is based around a specific group of HPE 5G solutions including HPE 5G Core Stack, HPE Telco Cloud, HPE Telco Blueprints for Core and Edge, and Aruba networking equipment, which HPE Lab users can utilize to test innovations, Band said.

"With the HPE Lab, we are dramatically increasing the proportion of standard IT tools and technologies in telco. Historically, telco has been a very closed environment. When I started 20 years ago, everything was proprietarythe hardware, even the cabling," Band said.

"Over the years, we've moved away from this very proprietary [environment] and made it more aligned to the IT industry. This is an important step because now we're adopting cloud-native technologies...which gives you very quick updates on services. We're bringing this into telco," Band noted. "It's a huge challenge because it's a new, different type of workload, different way of working."

"This lab is intended to help the industry understand how to leverage all of these capabilities; ultimately, the objective is to have a much higher degree of automation and much faster innovation," Band said.

The HPE 5G Lab is located in Fort Collins, CO, and is available worldwide to customers and HPE partners through remote access, including the provision of personnel to manage and operate the lab environment and help with integration and testing.

To access the HPE 5G Lab and validate via the 5G Core Stack, independent software vendors (ISVs) need to join the HPE Partner Ready program, which will allow them to demonstrate compliance with 3GPP standards and utilize the HPE 5G ecosystem, according to the release.

HPE's second major announcement involves a partnership with Orange and Casa Systems that uses a kit robot to demo an automated 5G network slice orchestration.

"5G network slicing...is kind of a virtual private network from mobile networks," Band said. "Network slicing is really about the ability to instantiate different splices, different networks, different characteristics, and isolate them logically from one another, also from a security perspective."

The collaboration demonstrates the capability of a cloud-native 5G core network to recognize degradations in quality-of-service (QoS) on a common network slice for a mission-critical service and automatically self correct, creating a new dedicated network slice immediately, according to the release.

"We instantiated an initial network slice at those network functions and implemented 5G core network capabilities and we ran this robot," Band said. "This robot is circulating and self- balancing kind of thing, and it's a remote control. So the function that tells it what to do is not actually on the robot, but it is remote. It's connected through this 5G network and then we start loading additional traffic onto the network so it gets saturated."

"You start seeing that the behavior of the robot becomes erratic because it's not getting instructions on time from the centralized server," Band said. "At that point, we say, 'OK, we will split.' And we will instantiate different sets of network functions, different networks slices, but they're just dedicated to this robot. We instantiate this automatically. Then we tell the robot, you can use this from now on. And at that point you see that the behavior becomes smooth again."

Historically, if a telco wants to build a network, it builds it once and never touches it again. If it wanted to add to the network, it would take months or years to accomplish, Band said.

"What we are showing here is an ability to react in real time or near real time to conditions and adds capacity to the network. With that, the network works much faster," Band said. "You get a much smoother experience as a mobile subscriber, but the real value, generally speaking for 5G and including for network slicing, is really for enterprise for their own internal processes or for the things that they will offer to you."

The next steps for Orange, HPE, and Casa is expanding this use case demonstration into an end-to-end campus trial to move toward broader service availability, according to the release.

"This demonstration with Orange and Casa underscores our ability to automate and orchestrate the complete lifecycle of 5G services in cloud-native, multivendor environments," said Domenico Convertino, vice president of product management, communications and media solutions at HPE, in the release.

"An open 5G Core is key for operators to break out of the single vendor lock-in of previous generation networks. The HPE 5G Core Stack, as well as our newly announced HPE 5G Lab, enable an accelerated evolution to 5G networking that is open and interoperable," Convertino added.

For more, check out HPE moves closer to everything-as-a-service with Ezmeral and expanded GreenLake cloud services on TechRepublic.

5G networks and devices, mobile security, remote support, and the latest about phones, tablets, and apps are some of the topics we'll cover. Delivered Tuesdays and Fridays

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HPE announces 5G Lab and demo of automated 5G network slice orchestration - TechRepublic

Workload automation software is used to manage distributed mainframes. This software is adopted by small and medium enterprises as well as large enterprises at low costs also it manages central servers and distributed systems. Continuous developments in IT and telecommunication industry will propel the market growth. Mainly this software is classified into two types such as On-premise, cloud-based, and SaaS.

Increase in technological advancements is the key driving factor which is expected to boost the global workload automation software market. Furthermore, rise in adoption of this technology by various small and medium enterprises as well as large enterprises will have the positive impact on market growth. Also, workload automation software can eliminate manual scripting process which is expected to drive the global workload automation software market growth during this forecast period.

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However, lack of stable internal workload process is the major restraining factor which is expected to obstruct the global workload automation software market growth.

Market Key Players

Various key players are discussed in this report such as VMware, Stonebranch, Savision, Resolve Systems, Oracle, Mitratech, IBM, Hitachi Vantara Corporation, cPanel, and CA Technologies

Market Taxonomy

By Product Type

By Application

By Region

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QualiKet Research is a leading Market Research and Competitive Intelligence partner helping leaders across the world to develop robust strategy and stay ahead for evolution by providing actionable insights about ever changing market scenario, competition and customers. QualiKet Research is dedicated to enhancing the ability of faster decision making by providing timely and scalable intelligence. We use different intelligence tools to come up with evidence that showcases the threats and opportunities which helps our clients outperform their competition.

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Global Workload Automation Software Market Major Impact of COVID-19, Industry Segments, and Strategic Analysis, 2020-2027 - 3rd Watch News

In a virtual roundtable conversation hosted by Scoop News Group last month, local government technology leaders from around the New York City region shared hopes and expectations for artificial intelligence, lending insight into how the technology is being received inside government. Most expressed interest in the emerging technology, which is already seeing its first implementations at government agencies, but many also hedged their interest with a realization that the technologys capabilities remain limited.

Im in listening mode, one New York City official said. Ive heard a lot about how AI is going to change my work, but so far its just hypothetical.

But despite AIs immaturity, many officials say they feel impending budget constraints are forcing them to investigate any technology that automates tasks to alleviate their workforces.

We absolutely expect chatbots and artificial intelligence in general to be a big part of our workforce strategy in the future, another official said.

During the discussion, the technology officials shared their current uses of AI and automation technologies, if they had any, and their expectations for how those tools will affect governments operations in the coming years.

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7 takeaways on AI, automation in local government - StateScoop

Last year, as the result of the 13.5m (US$17.1m) HumanDrive research project, led by Nissan and eight other consortium partners including testing specialists Horiba MIRA, an autonomous Nissan Leaf successfully completed two trials: a 230-mile Grand Drive self-navigated journey on UK roads using an advanced autonomous control system; and test track-based activity that explored human-like driving using machine learning to enhance the user experience.

During the 30-month study, Horiba MIRA devised a scenario-based simulation testing program designed to interrogate the behavior of the artificial intelligence (AI) within vehicles. According to the company, the research involved the creation of a three-tier scenario system functional, logical and concrete to generate a set of cases covering all the complex situations that vehicles encountered. Building on its findings, the company is now calling on the automotive industry, government and academic institutions to use scenario-based testing to standardize, simplify and automate CAV validation in a repeatable and reliable way.

Ashley Patton, lead connected and autonomous vehicle (CAV) test engineer, Horiba MIRA, said, For HumanDrive, we focused on a series of scenarios ranging from a basic scenario, through to a very complex one typical of an autonomous CAV testprogram. A surrogate test vehicle was used, as we could specifically control it using a full set ofindustryleading driving robots, to reduce the risks in this development activity.

In very complex scenarios, we explored other factors including the test track layout. These make a significant difference to the potential route options the CAV may choose to take and therefore the complexity of programming and quantity of actors we may need to deploy. For example, robotic,crashableactors, representative of other vehicles, pedestriansand cyclists, were used in the majority of these tests, as there is still some inherent risk of collision.

HumanDrive enabled our CAVtest team to focus on innovativescenario-based testing processes, focusing onstandardization, simplification andautomation. One of the most interesting conclusions is that whether CAV test requirements are specified as a functional, logical or concrete scenario, we must program a concrete scenario for the test to run. We are currently developing tools to help our customers complete testing in an efficient and reproducible way with confidence that the output of the test will validate the requirement set which is a testament to the great progress made during the project.

Ashley concluded, In terms of CAV testing, whats clear is that to be efficient and dynamic, the scenario execution rate must increase. Were working very hard on how to standardize the inputs to automate the CAV test processes, which are founded on base engineering principles for ensuring industry-leading best practices. The automation of some of the manual test processes will give significant time and cost savings to complete CAV testprogramssafely, efficiently and accurately.

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Scenario-based simulation drives advanced automation - Automotive Testing Technology International

Mindfully drafted research offering is in complete sync with the current ongoing market developments as well as challenges that together render tangible influence upon the holistic growth trajectory of the Global IT Robotic Automation market . This coherent research report is an amalgamation of all relevant data pertaining to historic and current market specific information that systematically decide the future growth prospects of the IT Robotic Automation market.

This report is well documented to present crucial analytical review affecting the IT Robotic Automation market amidst COVID-19 outrage. The report is so designed to lend versatile understanding about various market influencers encompassing a thorough barrier analysis as well as an opportunity mapping that together decide the upcoming growth trajectory of the IT Robotic Automation market.

This well-researched, thoroughly compiled research output, demonstrating key developments, prominent growth triggers as well as an efficient, ready-to refer market synopsis also demonstrates a concrete picture of various influences and international research tools that research experts have incorporated to gauge the actual pulse of the IT Robotic Automation market.

The study encompasses profiles of major companies operating in the IT Robotic Automation Market. Key players profiled in the report includes:Blue PrismIPSoftBe InformedAppian CorporationAutomation AnywhereInteractive MediaIBMBMCSutherland Global Service (SGS)TCS (Tata Group)

This section of the report further aims to enlighten report readers about the decisive developments and catastrophic implications caused by an unprecedented incident such as the global pandemic that has visibly rendered unparalleled implications across the IT Robotic Automation market.

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By the product type, the market is primarily split into ToolsServices

By the end-users/application, this report covers the following segments BankingUtilitiesHealthcareOther

Following further, report readers are also presented with thought provoking details and influential ideas that lend an overall reference point about the competitive landscape. Moving forward, report readers are also presented with a unique portfolio presentation that houses minute details about prominent market players with an elaborate reference to their recent market activities in a bid to secure their footing despite cut-throat competition in the aforementioned IT Robotic Automation market.

Global IT Robotic Automation Geographical Segmentation Includes: North America (U.S., Canada, Mexico) Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) Latin America (Brazil, Rest of L.A.) Middle East and Africa (Turkey, GCC, Rest of Middle East)

As the report makes further progress, it unveils a real-time scenario of the market, besides also shedding substantial light on other historical developments that had influenced sustainable revenue flow in the IT Robotic Automation market. The report allows its readers to gain optimum cues about the market progression such that players can well comprehend potential opportunities as well as persistent challenges and probable threats in the IT Robotic Automation market.

Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share by Key Players Chapter 4. Breakdown Data by Type and Application Chapter 5. Market by End Users/Application Chapter 6. COVID-19 Outbreak: IT Robotic Automation Industry Impact Chapter 7. Opportunity Analysis in Covid-19 Crisis Chapter 9. Market Driving ForceAnd Many More

Research Methodology Includes:

Vivid details about lucrative business strategies, trouble shooting approach as well as customer enticing tactics have been thoroughly addressed in this section of the report such that readers may obtain a birds wye view of the current market scenario. Therefore, to enable and influence a flawless market specific business decision, aligning with the best industry practices, this specific research report on the IT Robotic Automation market features comprehensive outlook of various drivers and threats that eventually influence the growth trajectory in the IT Robotic Automation market.

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Global IT Robotic Automation Market 2025 Expected to Reach Highest CAGR During COVID 19 crisis-Blue Prism, IPSoft, Be Informed, Appian Corporation,...

The increasing adoption of digital solutions by different industry verticals and growing need for error-free and timely processes are few of the factors driving the automation-as-a-service market worldwide. However, s frequent alterations in operating procedures and business rules impacting the efficiency, which in turn may restrain the future growth of automation-as-a-service market. Despite these limitations, entry of new players focusing on emerging economies is projected to have a positive impact on the growth of the automation-as-a-service market in the coming years.

Leading Automation-as-a-Service Market Players:

Accenture PLC, Automation Anywhere, Inc., Blue Prism Group plc, HCL Technologies Limited, Hewlett Packard Enterprise, IBM Corporation, Microsoft Corporation, NICE Ltd., Pegasystems Inc, UiPath

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Automation has advanced enormously over last few years. Today, it is a key empowering influence of change, development, and aggressive differentiation for associations where various processes are institutionalized. It has effectively empowered early adopters to make a quick, exact, financially sound, all-rounder virtual workforce. The developing necessity for RPA execution have pushed the innovation to a focal point of excellence model facilitating advanced automation to the organizations. This has generated growth opportunities for system Integrators to partner and help companies optimally attain the automation to their systems. Based on region, North America held the largest share in the global automation-as-a-service market in 2018. This is majorly due to the growing service industry in the region. Moreover, the increased IT spending, presence of a large number of big enterprises, and technological advancements are some of the other drivers supporting the growth of the automation-as-a-service market. Whereas, APAC is anticipated to witness fastest growth during the forecast period. This can be attributed to the surging service industry in developing countries, such as China and India, economic development, increasing digitalization, and rising adoption of new technologies.

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The market for automation-as-a-service has been segmented on the basis of component, deployment model, business function, and industry vertical. The automation-as-a-service market based on component is sub-segmented into solution and services. The solution segment is expected to hold the prime market share in the automation-as-a-service market. The automation-as-a-service market on the basis of deployment model is segmented into on-premise and cloud. The cloud based deployment model led the automation-as-a-service market and it is anticipated to continue its dominance during the forecast period. The market for automation-as-a-service by industry vertical is further segmented into BFSI, IT & telecom, retail, healthcare & life sciences, transportation & logistics, government agencies, manufacturing, and others. The BFSI segment is expected to hold the lions share in the year 2018 and is expected to continue its dominance till 2027.

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Table of Content:

Market Overview

Competition Analysis by Players

Company (Top Players) Profiles

Automation-as-a-Service Market Size by Type and Application

US Market Status and Outlook

EU Development Market Status and Outlook

Japan Market Development Status and Outlook

China Market Status and Outlook

India Automation-as-a-Service Market Status and Outlook

Southeast Asia Market Status and Outlook

Market Forecast by Region, Type, and Application

Market Dynamics

Market Effect Factor Analysis

Research Finding/ Conclusion

Appendix

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Automation-as-a-Service Market To Rise In Concurrence With Automotive Industries Demand Accenture PLC, Automation Anywhere, Inc., Blue Prism Group...

AUSTIN, Texas, July 23, 2020 /PRNewswire/ -- Zenoss Inc., a leader in intelligent application and service monitoring, today announced a strategic partnership with HCL Technologies (HCL), a global technology company that empowers organizations for the next decade today. The partnership will deliver the only end-to-end solution that combines full-stack monitoring, AIOps and AI-powered runbook automation.

This strategic partnership leverages Zenoss Cloud'sintelligent monitoring and AIOpscapabilities to derive much-needed context, enabling DRYiCE iAutomate (iAutomate) to intelligently automate and remediate IT incidents. The result is an improvement in IT efficiency while simultaneously lowering costs and mitigating risk.

Under the agreement, Zenoss will offer advanced automation capabilitiesto its customers by leveraging iAutomate from HCL's DRYiCEsoftware. In return, HCL will offer its customers monitoringand AIOps products from Zenoss as part of the DRYiCE MTaaS platform. These offerings will provide customers with faster time to value and improved ROI, and allow them to be better positioned for the future.

"Digital transformation has changed IT forever, and our customers look to us for innovative solutions that will help them manage modern, complex environments," said Amit Gupta, executive vice president and global head of DRYiCE at HCL. "This partnership will help us jointly deliver intelligent automation capabilities for today's complex IT environments."

The Zenoss and iAutomate integrated offering delivers:

Zenoss Cloud is the first SaaS-based intelligent application and service monitoring platform that streams and normalizes all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex multicloudenvironments. To learn more about Zenoss Cloud,visit https://www.zenoss.com/product.

"For years, we have been talking about delivering on the promise of a lights-out data center," said Greg Stock, chairmanand CEO of Zenoss. "This partnership with HCL's DRYiCEsoftwareis another step in that journey delivering real value to our customer bases at a time when it's needed the most."

About HCL Technologies HCLTechnologies (HCL) empowers global enterprises with technology for the next decade today. HCL's Mode 1-2-3 strategy, through its deep-domain industry expertise, customer-centricity and entrepreneurial culture of ideapreneurship enables businesses to transform into next-gen enterprises.

HCL offers its services and products through three business units - IT and Business Services (ITBS), Engineering and R&D Services (ERS) and Products & Platforms (P&P). ITBS enables global enterprises to transform their businesses through offerings in areas of Applications, Infrastructure, Digital Process Operations and next generational digital transformation solutions. ERS offers engineering services and solutions in all aspects of product development and platform engineering. Under P&P, HCL provides modernized software products to global clients for their technology and industry-specific requirements. Through its cutting-edge co-innovation labs, global delivery capabilities and broad global network, HCL delivers holistic services in various industry verticals, categorized under Financial Services, Manufacturing, Technology & Services, Telecom & Media, Retail & CPG, Life Sciences & Healthcare and Public Services.

As a leading global technology company, HCL takes pride in its diversity, social responsibility, sustainability and education initiatives. As of 12 months ended March 31, 2020, HCL has a consolidated revenue of US$ 9.94 billion and its 150,423ideapreneursoperate out of 46 countries. For more information, visitwww.hcltech.com

About ZenossZenoss works with the world's largest organizations to ensure their IT services and applications are always on. Delivering full-stack monitoring combined with AIOps, Zenoss uniquely collects all types of machine data, including metrics, dependency data, events, streaming data and logs, to build real-time IT service models that train machine learning algorithms to deliver robust AIOps analytics capabilities. This enables IT Ops and DevOps teams to optimize application performance, predict and eliminate outages, and reduce IT spend in modern hybrid IT environments. Zenoss is recognized as a Leader inThe Forrester Wave: Intelligent Application and Service Monitoring, Q2 2019and is recognized in the2019 Gartner Market Guide for AIOps Platforms. For more information about Zenoss, please visithttps://www.zenoss.com.

Zenoss Media ContactJill Ford[emailprotected]

SOURCE Zenoss Inc.

http://www.zenoss.com

Link:

Zenoss and HCL Technologies Deliver Automation for IT Monitoring and AIOps - PRNewswire

Automated machine learning (ML) sounds like the stuff of business leaders dreams.

Take the question, which customers should we focus our marketing budget on this year? ML can now deliver robust answers to these types of business questions even faster than before, through greater use of automation.

Data in at one end, seriously useful business insight out of the other.

That is partly why Forbes predicts businesses will be investing $125bn a year on Artificial Intelligence and Machine Learning by 2025.

But even though numerous vendors boast of AutoML capabilities, the reality is that the act of developing ML models is still very much driven by humans and requires an awful lot of manual trial and error, performed by (expensive) experts.

Whilst the human element will never completely disappear, new automation techniques will help to reduce the vast amount of labor intensive work required. Not only will this reduce the overall cost and effort, it should reduce the levels of skill and experience required to build reliable ML models.

By todays standards, it is certainly an unfortunate fact that manual effort still accounts for 80 percent of the machine learning development process. The most important part of this manual effort is the feature engineering process, where different data elements are combined and enriched to generate the most potent formula for predicting future events.

In the case of working out which customers might churn in the next year, for example, the data may include the size of their last discount. But prediction accuracy would improve if further features were engineered such as the time since the last discount, the average time between discounts and how the discount compares to those offered to other customers.

The challenge here is that nobody knows for sure whether these feature combinations will work until they have been developed, tested and fully assessed together as part of an ML model.

Specialist knowledge has been essential in these endeavors: you cant produce a good algorithm without a subject matter expert knowing something about which features may be the most significant, or without experienced data scientists with deep knowledge of the ML process.

This need for expensive experts is one of the factors that have limited the application of ML to the organizations with the skills, patience and deep pockets to indulge lengthy developments, and to low-risk use cases with the clear potential for high levels of return on investment. But this is now starting to change.

One area of data science development that offers the potential to transform this endeavor is automated feature engineering: Using a computer to shortcut one of the most manually-intensive aspects of ML development.

The challenge of bringing automation to every stage of the ML workflow is one that my company, Peak Indicators, has been exploring for years. From this work, we created Tallinn ML, a platform providing all of the components required to build and deploy predictive models automatically, significantly reducing the reliance on highly-skilled data scientists.

Tallinn ML includes a unique feature-engineering engine that drastically cuts the time taken to develop new predictive algorithms by generating and testing thousands of different metrics as part of the data engineering, a process of trial and error that can take human months or even years to deliver.

Earlier this year we applied it on Kaggle - Googles online home for the worlds data scientists and machine-learning experts, a kind of Premier League of ML. Kaggle set an unusual challenge. Can you develop an algorithm to predict which people were most likely to survive the worlds most infamous shipwreck - the Titanic?

Competitors were given a set of features, such as passenger age or gender, and asked to develop the most powerful algorithm to predict who would survive. Among Kaggles 1 million users are some of the worlds best-known researchers and data science teams. Peaks Tallinn ML algorithm reached the top 5 percent for accuracy.

While other world-class competitors developed their models through manual means, our model was produced automatically. It involved no coding and no manual trial and error. It proved that machine learning has now reached a new level of automation.

So what difference does this make to business? Well, potentially a huge one.

The insights provided by predictive analytics and machine learning have been seen for some time as potentially revolutionary for business. Suddenly firms are far better able to answer crucial questions like:

Those questions are just the start. Answering them reliably means resources can be put where they are most needed. Inefficiently-used time and money can be reallocated to more productive tasks. Robust new insights into what is needed next appear magically.

But making that promise a reality is difficult. As Gartner highlighted just last year, doing predictive analytics is tough. Your team needs to possess the right skills, understand business priorities and deal with data accuracy.

That meant that any business, according to Gartners research, had previously to ask an important question: Whats the likelihood youll sink under the weight of your organizations data or swim to successful results?.

Now that question is no longer so pressing. An automated solution makes it far more likely an organization will swim, because it will eliminate a considerable amount of time and effort in ML projects, and significantly reduce the need for very high-level expertise. The chances of an organization sinking - or treading water - in a sea of data become far smaller.

Problems that took months to solve previously can now be addressed in a matter of hours and days, and it has become economically viable to use ML to solve a much more extensive range of problems. We expect to see more experimentation and innovation using ML across all areas of business, including use-cases that didnt justify the cost of data science projects lasting several months before.

Trials of Tallinn ML at a global retail and consumer-goods company produced a predictive model in two hours that was 18 percent more accurate, and delivered 19 times fewer false positives, than one developed over a three-month period by a team of experienced data scientists.

Another at a global financial-services organization showed that Tallinn MLs automated feature engineering improved the accuracy of employee-churn predictions by 51 percent.

Beyond these improvements in pace and accuracy, this new approach promises to bring the benefits of ML to a much wider range of organizations. Automating the entire ML workflow democratizes data science to the point that any organization with an IT manager and big data sets to explore can start to derive value from it.

ML and the ability for algorithms to improve automatically through experience has long been recognized for its potential to bring greater intelligence and automation to the world of business. But to date, it has relied on expert humans to set up the machines to do what they do best.

Fully automating the development of ML models means that, for the first time, ML can deliver on its full promise. Efficiency. Productivity. Speed. Precision in prediction. Seriously useful business insight. Genuinely letting the machine take the strain, and freeing up humans to do what they do best.

Antony Heljula, Technical Director, Peak Indicators

More:

Can automated feature engineering produce machine learning that finally lives up to its name? - ITProPortal

Global Robotic Process Automation in BFSI Market Research Report 2020: COVID-19 Outbreak Impact Analysis

Brand Essence Market Research has developed a concise study on the Robotic Process Automation in BFSI market to depict valuable insights related to significant market trends driving the industry. The report features analysis based on key opportunities and challenges confronted by market leaders while highlighting their competitive setting and corporate strategies for the estimated timeline.

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The Detailed Market intelligence report on the Global Robotic Process Automation in BFSI Market applies the most effective of each primary and secondary analysis to weighs upon the competitive landscape and also the outstanding market players expected to dominate Global Robotic Process Automation in BFSI Market place for the forecast 2019 2025.

Scope Of The Report:

Report evaluates the growth rate and the Market value based on Market dynamics, growth inducing factors. The complete knowledge is based on latest industry news, opportunities and trends. The report contains a comprehensive Market analysis and vendor landscape in addition to a SWOT analysis of the key vendors.

Geographically, this report split global into several key Regions, revenue (Million USD) The geography (North America, Europe, Asia-Pacific, Latin America and Middle East & Africa) focusing on key countries in each region. It also covers market drivers, restraints, opportunities, challenges, and key issues in Global Robotic Process Automation in BFSI Market.

Key Benefits for Robotic Process Automation in BFSI Market Reports

Global market report covers in-depth historical and forecast analysis.

Global market research report provides detail information about Market Introduction, Market Summary, Global market Revenue (Revenue USD), Market Drivers, Market Restraints, Market Opportunities, Competitive Analysis, Regional and Country Level.

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Global market report covers extensive analysis of emerging trends and competitive landscape.

Robotic Process Automation in BFSI Market Segmentation:

Segmentation by Type:

SoftwareServices

Segmentation by Application:

BankingFinancial Services and Insurance

By Region

North America

USA

Canada

Mexico

Europe

UK

France

Germany

Russia

Rest of Europe

Asia-Pacific

China

South Korea

India

Japan

Rest of Asia-Pacific

LAMEA

Latin America

Middle East

Africa

Robotic Process Automation in BFSI Market Key Players:

Kofax Inc.WorkFusion, Inc.SoftomotiveUiPathThoughtonomyPegasystems Inc.NICEKryon SystemsAutomation Anywhere Inc.Blue Prism

This comprehensive report will provide:

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Our Market Research Solution Provides You Answer to Below Mentioned Question:

Which are the driving factors responsible for the growth of market?

Which are the roadblock factors of this market?

What are the new opportunities, by which market will grow in coming years?

What are the trends of this market?

Which are main factors responsible for new product launch?

How big is the global & regional market in terms of revenue, sales and production?

How far will the market grow in forecast period in terms of revenue, sales and production?

Which region is dominating the global market and what are the market shares of each region in the overall market in 2017?

How will each segment grow over the forecast period and how much revenue will these segment account for in 2025?

Which region has more opportunities?

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Our industry professionals are working reluctantly to understand, assemble and timely deliver assessment on impact of COVID-19 disaster on many corporations and their clients to help them in taking excellent business decisions. We acknowledge everyone who is doing their part in this financial and healthcare crisis.

The Essential Content Covered in the GlobalRobotic Process Automation in BFSI Market Report:

* Top Key Company Profiles.* Main Business and Rival Information* SWOT Analysis and PESTEL Analysis* Production, Sales, Revenue, Price and Gross Margin* Market Share and Size

The report provides a 6-year forecast (2020-2026) assessed based on how the Robotic Process Automation in BFSI market is predicted to grow in major regions like USA, Europe, Japan, China, India, Southeast Asia, South America, South Africa, Others.

Strategic Points Covered in TOC:

Chapter 1:Introduction, market driving force product scope, market risk, market overview, and market opportunities of the global Robotic Process Automation in BFSI market.

Chapter 2:Evaluating the leading manufacturers of the global Robotic Process Automation in BFSI market which consists of its revenue, sales, and price of the products.

Chapter 3: the competitive nature among key manufacturers, with market share, revenue, and sales.

Chapter 4:Presenting global Robotic Process Automation in BFSI market by regions, market share and revenue and sales for the projected period.

Chapters 5, 6, 7, 8 and 9:To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.

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Covid-19 Pandemic: Robotic Process Automation in BFSI Market Overview to 2020 2025 - 3rd Watch News

UiPath, the leading enterprise Robotic Process Automation (RPA) software company, today announced the creation of a Legal Automation Task Force to drive the development and implementation of end-to-end legal automation solutions in legal and compliance departments and corporations everywhere.

Since starting its accelerated growth as part of a disruptive and fast-growing software category, UiPath quickly grasped the tremendous potential of legal automation. Led by the Legal Automation Team, UiPath operated a pioneering digital transformation of its legal department, calibrating it to be fully suited for automation. Achieving increased efficiency, cutting processing time, and empowering an agile legal team proved to be one of the key ingredients supporting the onboarding of the UiPath international workforce as well as that of its global roster of clients in record time.

Working alongside software robots provided the Legal Automation Team with state-of-the-art expertise in the end-to-end automation of legal processes. Next, UiPath set up the Legal Automation Program to provide professionals in law firms and legal departments with the tools and know-how needed to design together new legal robots to support their and their customers operations.

With a mission to drive the adoption of automation at scale across the global market, the new Legal Automation Task Force relies on a dedicated team of RPA developers and is well positioned to add to the UiPath RPA platform roadmap specific legal-focused features at an early product development stage. That is why it is well positioned to leverage the potential of technologies such as Machine Learning/Artificial Intelligence, Natural Language Processing, Document Understanding and Computer Vision to support the traditionally document-heavy operations typically performed by legal professionals.

Automation can support law firms perform a significant transformation of their business models, as it enables them to improve and expand their suite of products and services. The teams focus will be to expand the UiPath partner ecosystem to cover legal and compliance services by establishing partnerships with key legal and tech vendors. This will allow UiPath to increase its existing portfolio of legal automation offering and develop highly customized solutions that benefit law practices and legal departments in terms of increased operations speed, cost efficiency, employee satisfaction, heightened process accuracy, and compliance.

Since creating its Legal Automation Program in 2017, the UiPath team and clients have had access to several categories of existing automations, which include:

The UiPath Legal Automation Task Force will be led by Head of Legal Automation Vasile Tiple, the architect of the companys Legal Automation Program. During his previous tenures as UiPath Legal Counsel and also General Counsel, Tiple has been at the forefront of designing and implementing the companys legal automation vision. In his new role, he will take full control of developing new licensing models, designing the go-to-market strategy for legal automation solutions, and identifying opportunities to improve legal and compliance processes.

"Weve developed our first legal robots to answer to our own pressing needs, which was a great incentive to think out of the box. Having to onboard eight to ten customers every working day, we needed to quickly process large amounts of information, execute repetitive actions or develop new innovative ways of working, and software robots proved to be our allies. There are still many such time-consuming, paper-based processes that are mandatory for legal practitioners, which do not necessarily need to be performed by a lawyer. Instead, they can be entrusted to robots that can complete tasks up to five times faster and more secure, saving the company time, money and easing the strain on employees," said Tiple.

Tiple added: "By bringing automation to the legal and compliance industry, organizations can lay a strong foundation for simplified digitalization. We believe that the appetite of companies and law firms to adopt automation will soon translate into increased market competitiveness."

About UiPath

UiPath has a vision to deliver A Robot for Every Person, one where companies enable every employee to use, create, and benefit from the transformative power of automation to liberate the boundless potential of people. Only UiPath offers an end-to-end platform for hyperautomation, combining the leading Robotic Process Automation (RPA) solution with a full suite of capabilities that enable every organization to scale digital business operations at unprecedented speed. The company has already automated millions of repetitive tasks for over 65% of the Fortune 500 and 8 of the Fortune 10.

Named a 2020 CNBC Disruptor 50 company, UiPath was recognized as the fastest growing technology company in the Americas according to FT Americas Fastest Growing Companies 2020 and named the top company on Deloittes 2019 Technology Fast 500, a ranking of the fastest public and private technology companies in North America.

View source version on businesswire.com: https://www.businesswire.com/news/home/20200721005142/en/

Contacts

Toni IafrateUiPathtoni.iafrate@uipath.com 978-239-5499

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UiPath Spearheads Adoption of Automation in the Legal and Compliance Field by Creating Legal Automation Task Force - Yahoo Finance

HOBOKEN, N.J.--(BUSINESS WIRE)--NICE (Nasdaq: NICE) today announced that it's Robotic Automation business has partnered with Minit to help organizations discover optimal processes to automate graphically with unparalleled accuracy. Combining Minits visual and interactive process maps and statistics with the AI-driven desktop analytics capabilities of NICEs Automation Finder enables graphical mapping and prioritization of end-to-end processes with the finer sequences and routines. This clear visual prioritization and mapping of automation processes result in increased deployment success, operational efficiency and return on investment (ROI).

In their December 2019 report entitled 'Predicts 2020: RPA Renaissance Driven by Morphing Offerings and Zeal for Operational Excellence' Gartner forecasts, "By 2023 50% of new RPA scripts will be dynamically generated." Further, The integration of process mining, ingestion engines, analytics, user experience and machine learning will facilitate the creation of AI-generated RPA scripts that mimic the capabilities of humans. With the combination of NICE RPA's Automation Finder and Minits smart automation discovery technologies, NICE and Minit believe organizations can enjoy the combined benefit of these capabilities today.

Minit's visual and interactive process maps and statistics provide a high-level view of the optimal end-to-end process candidates for automation. These insights are then deepened and enriched as NICE RPA's Automation Finder analyzes the finer process sequences making up employee desktop actions. The result is a rich graphic display of the best processes to automate along with the optimized process sequences. The process sequences can then be seamlessly designed and built using NICEs automation design tool, Automation Studio, and operationalized with NEVA (NICE Employee Virtual Attendant). The deployed process automations are continuously monitored and optimized, while additional opportunities for optimization are sourced.

Barry Cooper, President of the NICE Enterprise Group, said, "Smart process automation discovery is a critical step in ensuring automation success. This partnership with Minit provides the most intelligent and comprehensive approach for choosing the processes most conducive to automation success with flawless precision.

Rasto Hlavac, CEO of Minit, said, "NICE RPA's innovative technology is a perfect fit for our process mining capabilities, providing what we know is a proven way for pinpointing processes that make the most financial sense to automate. We're excited to partner with NICE in delivering value to our customers."

About NICENICE (Nasdaq: NICE) is the worlds leading provider of both cloud and on-premises enterprise software solutions that empower organizations to make smarter decisions based on advanced analytics of structured and unstructured data. NICE helps organizations of all sizes deliver better customer service, ensure compliance, combat fraud and safeguard citizens. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, are using NICE solutions. http://www.nice.com.

About MinitMinit is one of the leading providers of process mining software, globally. Our mission is to create fully transparent operations for large enterprises based on what is really going on in their business. Our software reshapes the entire business process management cycle from automatic process discovery, through continuous monitoring and analysis of the processes in near real-time, up to taking action to improve the process. Minit - Seamless Processes Start Here. http://www.minit.io

Trademark Note: NICE and the NICE logo are trademarks or registered trademarks of NICE Ltd. All other marks are trademarks of their respective owners. For a full list of NICEs marks, please see: http://www.nice.com/nice-trademarks.

Forward-Looking StatementsThis press release contains forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Such forward-looking statements, including the statements by Mr. Cooper, are based on the current beliefs, expectations and assumptions of the management of NICE Ltd. (the Company). In some cases, such forward-looking statements can be identified by terms such as believe, expect, seek, may, will, intend, should, project, anticipate, plan, estimate, or similar words. Forward-looking statements are subject to a number of risks and uncertainties that could cause the actual results or performance of the Company to differ materially from those described herein, including but not limited to the impact of changes in economic and business conditions, including as a result of the COVID-19 pandemic; competition; successful execution of the Companys growth strategy; success and growth of the Companys cloud Software-as-a-Service business; changes in technology and market requirements; decline in demand for the Company's products; inability to timely develop and introduce new technologies, products and applications; difficulties or delays in absorbing and integrating acquired operations, products, technologies and personnel; loss of market share; an inability to maintain certain marketing and distribution arrangements; the Companys dependency on third-party cloud computing platform providers, hosting facilities and service partners;, cyber security attacks or other security breaches against the Company; the effect of newly enacted or modified laws, regulation or standards on the Company and our products and various other factors and uncertainties discussed in our filings with the U.S. Securities and Exchange Commission (the SEC). For a more detailed description of the risk factors and uncertainties affecting the company, refer to the Company's reports filed from time to time with the SEC, including the Companys Annual Report on Form 20-F. The forward-looking statements contained in this press release are made as of the date of this press release, and the Company undertakes no obligation to update or revise them, except as required by law.

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NICE Robotic Process Automation and Minit Partner to Expand Breadth and Depth of Opportunity Discovery - Business Wire

Based in Baton Rouge, Louisiana,SecureNation is an industry-leading reseller and cybersecurity solution provider. Its a small business, with the agility and personal touch youd expect from a company of that size. The leadership team is highly experienced and is driven by a tireless commitment to their guiding mission: to provide clients with the best possible solution at the best possible price.

SecureNations clients benefit from the companys longstanding relationships with vendors, from its dedication to honesty and transparency, and from its efforts to create a level playing field for procurement. Their customers include some of the worlds largest enterprises.

Were like matchmakers, says Jon Davis, the CEO and founder of SecureNation. We have the connections and experience to be able to offer our clients the capabilities they need, whenever and wherever they need them. We negotiate with manufacturers to give our clients room for more.

Our objective is for everyone to be happy, adds Rachel Arnold, Client Relationship Specialist. We want happy customers and happy vendors, and we want to help them forge strong and long-lasting partnerships.

SecureNations vendor-agnostic approach enables it to be objective when it comes to matching its clients with the solutions and services that truly fit their individual needs. Were a pure reseller, says Davis. Services companies spend millions of dollars certifying their engineers on particular solutions, and once theyve done so, theyre incentivized to sell those, regardless of whether or not theyre best for the customers. We can keep our customers actual needs front and center at all times.

SecureNation always strives for a deep understanding of the key challenges its clients face so that it can offer them the right technology while saving them money, and Respond Softwares intelligent automated security monitoring and incident discovery solution, the Respond Analyst, is a natural fitone thats poised to resolve some of the most pressing challenges SecureNations enterprise customers currently face. Thats why SecureNation is proud to announce its new partnership withRespond Software.

The Respond Analyst takes softwares role in the security operations workflow to a whole new level, says Davis. There arent really other solutions out there that do what it does. The company doesnt have any true competitors.

Founded over a decade ago, SecureNation has seen cybersecurity come into the mainstream. In the industrys early days, compliance requirements drove many organizations investments into technologies and infrastructure, and many security professionals came from military backgrounds. Cybersecurity is a high-growth industry right now, but were in it for the long haul, says Davis. Were running a marathon, not a sprint.

Today, the vast majority of enterprise-grade cybersecurity programs face the same fundamental challenge: talent is in short supply. The demand for skilled cybersecurity professionals far outstrips their availability. And once hired, the average security analyststenure is troublingly shortleaving enterprises with an ongoing need to recruit and train new hires, an onerous and expensive process. At the same time, incident response (IR) teams have far too much to do. They face an endless barrage of alerts, the majority of which are false positives, and often must tune down their network security sensors simply to manage the alert volume.

In reality, very few enterprise-grade companies are satisfied with their incident response teams, says Davis. Teams are overwhelmed, and yet they need to be able to respond quickly or else the organization risks downtime or revenue loss. Its a near-impossible situation.

Especially right now, everybodys short-staffed, says Davis. The Respond Analyst is a valuable stepping stone for any organization thats looking to improve its security posture, explains Arnold. Considering how difficult it is to find qualified professionals in the cybersecurity field, its something that organizations looking to build security operations programs from the ground up should definitely look at.

Were excited to be able to offer the Respond Analyst to our clients, says Arnold. Not only can it be the perfect fit for organizations where other solutions dont meet their needs but Respond Software makes resources and team members available for ongoing support and ensures that all the pieces come together.

The SecureNation team believes that the Respond Analyst can play an important role in security operations programs that are young, growing, or looking to shift employees into more strategic, higher-value roles. Its always tough to build a security operations program that has a culture thats so strong and supportive that employees want tostay for the long haul, says Davis. The Respond Analyst can help incoming security analysts beef up their skills quickly so that they can perform their job duties right out of the gate, he adds. And down the line, it means that security operations programs can assign their employees more complex, challenging, and creative responsibilities. Its helping to develop talent in place.

Another draw of the Respond Analyst for SecureNations enterprise clients is its reliability and availability. Its always there, and its always on, says Arnold. Its like being able to give them all the full-time employees they need, with the level of expertise theyre looking for.

The post Bringing Cutting-Edge Security Automation to the Enterprise: Respond Softwares New Partnership with SecureNation appeared first on Respond Software.

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*** This is a Security Bloggers Network syndicated blog from Blog Respond Software authored by Carmen Harris. Read the original post at: https://respond-software.com/cutting-edge-security-automation-enterprise/

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Bringing Cutting-Edge Security Automation to the Enterprise: Respond Softwares New Partnership with SecureNation - Security Boulevard

SAN FRANCISCO, July 21, 2020 /PRNewswire/ -- The global Logistics Automation System Market estimated to expand at a higher CAGR by the completion of the prediction period. The logistics automation system talks about to usage of innovative automation software and equipment within the services of logistics. The system supports in refining the competence of logistics processes. The complete system encompasses a number of apparatuses for example automatic storing, recovery arrangements, vertical lift units and automatic directed vehicles, software and related amenities. Due to their capability to decrease labor force, logistics automation system is extensively accepted within the storerooms. Due to their capability to decrease prices within the industry, there is a substantial improvement in the moveable robots in the small and medium size storerooms.

Drivers

The increasing industrial development and suburbanization in the emerging nations along with substantial development in the e-commerce business, progressions in robotics and smart apparatuses to regulate the number of procedures are contributing to the development of the market for Logistics Automation System.

The global market for logistics automation system is likely to observe an amazing development during the period of approaching years. This is largely because the growing demand from the industry to increase store room competence, decrease operative price tag and increasing cost-effectiveness. The logistics automation system can assist business in altogether the three factors. This is estimated to motivate the global market for logistics automation.

Please click here to download the sample pdf and find more details on "Global Logistics Automation System Market" Report 2024.

Restraints

However, the greater prices of the technology and the installation charges is estimated to impede the development of the market. Additional aspects for example compromised safety of data is additional noticeable issue hampering development of the global market for logistics automation system during the upcoming a small number of years.

Classification

The global market for Logistics Automation System can be classified by End User, Application, Size of Organization, Components and Region. By End User, it can be classified as: Defense & Aerospace, Oil & Gas, E- Commerce, Automation, Manufacturing, Pharmaceuticals & Healthcare and Others. By Application, it can be classified as: Transportation Management and Warehouse Management. By Size of Organization, it can be classified as: Small & Medium Enterprises (SMEs) and Large Enterprises. By Component, it can be classified as: Services, Software and Hardware.

Regional Lookout

By Region the global market for Logistics Automation System can be classified as North America, Europe, Asia Pacific and the Rest of the World. Owing to the existence of important companies for example Honeywell Intelligrated, XPO Logistics and Americold Logistics, North America leads the global market.

Furthermore, the growing business of e-commerce and retail within the province is subsidizing considerably to the development of the market for Logistics Automation System. Furthermore, the progressions in the IoT devices and robotics within the state motivate the market in the province. The USA governs the North American market for Logistics Automation System, owing to the growing demand for these resolutions in automotive, e-commerce & retail, manufacturing and additional industries to improve the procedure and the flow of work. To reduce the price tag produced by mistake over mechanical work creating it over mechanization, these systems are utilized.

Owing to the existence of a number of important companies for example Swiss log, Jungheinrich AG, and Knapp AG, Europe responsible for the subsequent biggest market in global logistics automation system. Furthermore, there are a number of businesses existing within the province, comprising Defense & Aerospace, Transportation, Pharmaceuticals & Healthcare and Automation. Those are accepting the systems on a fast step comprising medium size enterprises.

Access 145 page research report with TOC on "Logistics Automation System Market" available with Radiant Insights, Inc. @ https://www.radiantinsights.com/research/global-logistics-automation-system-market-research-report-2020-2024

Companies

he most important companies hold onto modernizing and capitalizing in research and development activities to present a price operational product range. There has been latest mergers & acquisitions between the important companies. The policy the business units force to reinforce their spread to the clienteles.

Some of the important companies for Logistics Automation System Market are: Falcon Autotech, Wise Tech Global, Toshiba Infrastructure Systems & Solutions Corporation, VITRONIC, SSI Schaefer LLC, Knapp AG, Honeywell Intelligrated, Daifuku Co., Ltd, System Logistics SPA, TGW Logistics Group GmbH, Beumer Group, Mecalux, SA, Jungheinrich AG, Murata Machinery Limited, Swiss log Holding AG and Dematic Corp.

In the context of China-US trade war and global economic volatility and uncertainty, it will have a big influence on this market. Logistics Automation System Report by Material, Application, and Geography - Global Forecast to 2023 is a professional and comprehensive research report on the world's major regional market conditions, focusing on the main regions (North America, Europe and Asia-Pacific) and the main countries (United States, Germany, United Kingdom, Japan, South Korea and China).

The report firstly introduced the Logistics Automation System basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials and so on. Then it analyzed the world's main region market conditions, including the product price, profit, capacity, production, supply, demand and market growth rate and forecast etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.

Market Segmentation:

The end users/applications and product categories analysis:

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Logistics Automation System Market Size To Upsurge Based On Worldwide Growth In E-Commerce Industry And The Increasing Need For Efficient Warehousing...

Robots are now capable of doing pre- and post-match coverage of 26 football leagues in a fraction of time, so you would forgive sports journalists for feeling replaceable.

But original reporting is safe in times of automation, according to Henning Johannesson, chief product officer of the Swedish company United Robots who spoke at Newsrewired earlier this month (7 July 2020).

"Look at the robot as your new colleague," he says, adding that creating more content for diverse audiences can actually help newsrooms increase reader revenue and prevent redundancies.

United Robots turns structured data sets, such as weather updates, real estate sales and traffic incidents into automated articles. Artificial intelligence picks the angle, and natural language generation tool writes the story. The company has generated more than one million articles since 2015 for its publisher clients.

In his previous role as head of sport at one of Sweden's largest media organisations MittMedia, Johannesson realised his team needed to change their strategy to remain competitive in sports coverage - not just football, but ice hockey, too.

To understand what makes readers tick, they studied the 1,000 most read sports articles published over a year and found these were mostly breaking news and stories about top league teams.

In other words, these are the stories that are worth reporter&s time and newsroom resources. Low engagement match reports of low league fixtures still matter but by using structured data from the results, they can be outsourced to robots.

"Go and write about the teams equipment manager who has worked with the team for 50 years, who has repaired boards and football boots. Do that story instead of writing about the dull game that automation can do," says Johannesson.

"This is what we didnt want to waste journalists' time and money on."

There is an exception for freak results, like an 11-0 defeat, he added. Editorial teams are notified and can then make a judgement call on how to cover this kind of match results.

One year on from incorporating automation into the newsroom, MittMedia's sports section became a key source of reader revenue for the company. It now accounts for up to 40 per cent of the companys digital conversions and 10,000 new subscribers (at $9-per-month).

MittMedia is not the only media company embracing automation in Sweden.

Klackspark, the regional football vertical of stgta Media, promises their readers to cover all football matches in the stergtland region in Sweden - 26 leagues, 176 national and local teams, down to division six - and it can fulfil that promise thanks to automation.

On average, stgta Media publishes 850 articles a month, with 70 per cent of bylines going to robots. The automation tool can even ask for and embed quotes from the coaches using the United Robots Q&A tool to add more depth into an article.

"To keep this new website updated, they need the robots," says Cecilia Campbell, chief marketing officer, United Robots.

"Then reporters do the really interesting stories that also convert people. It started as a free site, but it did so well they now put it behind a paywall that acts as a funnel to the [main] news site."

Campbell added that it is not just sports journalism where automation has proved to be a valued resource; it can be a useful tool for local content both for large and small newsrooms.

Brgslagsbladet, a local morning newspaper based in Stockholm, has a newsroom of six including the chief editor, plus one weekend reporter - no evening staff. Robots can fill those gaps and provide 24/7 coverage and free up reporters with heavy workloads.

Sweden's largest newspaper Aftonbladet has also incorporated automation into its local verticles in Malm and Uppsala regions, where more than 290 areas have no local reporters. It uses the traffic, weather and real estate datasets to meet the demand for local content.

"Readers also expect a level of service and this is where robots can come in. Theres no real limit in terms of volume and that means you can serve readers with comprehensive coverage," Campbell concludes.

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"Look at the robot as your new colleague": what automation can do for sports reporting - Journalism.co.uk

Brad Jacobs, chairman and CEO of XPO Logistics (NYSE: XPO), is committed to improving the diverse culture XPO is striving to build for its employees, but doing so requires listening to employees, he said during the keynote address of FreightWaves Virtual 3PL Summit on Tuesday morning.

There is a problem in the country [with] racial inequality and thats a fact, Jacobs said. I think just in the last month, the recognition of that fact has become much more widespread.

Racial equality was one of the many topics Jacobs addressed during a nearly 50-minute live question-and-answer session. He also addressed potential mergers and acquisitions, company culture, automation and autonomous trucks.

Jacobs was asked questions from a diverse group of industry leaders, including Craig Fuller, CEO of FreightWaves; Ben Gordon, founder and managing partner of BG Strategic Advisors; David Dolan, managing director of DC Advisory US; John Larkin, operating partner of Clarendon Capital; Karl Kirkeby, senior vice president of Jefferies; Kevin Nolan, founder of Nolan Transportation Group; Lidia Yan, CEO of NEXT Trucking; Lori Heino-Royer, ambassador CEOX; Matt Waller, dean of the Sam M. Walton College of Business at the University of Arkansas; George Abernathy, president of FreightWaves; and Anthony Smith, economist for FreightWaves.

The live question-and-answer town hall was the opening session of FreightWaves 3PL Summit, presented by Hubtek. TriumphPay is the universal sponsor and regional sponsors include Lean Staffing Solutions, Loadsure and Truckstop.com.

The questions were not pre-screened, so Jacobs answers were spur-of-the-moment responses. He likely knew that diversity would be a topic, however, and one of the first questions on the topic came from Heino-Royer.

Jacobs explained that XPO is trying to build a culture in which employees feel they can speak up, and it has held a number of town halls, some led by Jacobs himself, with minority employees. He said the employees were honest and every Black member of the company had experienced racism in their lifetimes.

We heard stories, and they were painful, and they were sincere, he said. And a lot of emotion and tearing up and, for me, they were very impactful. There is a lot of work to do.

XPO is hiring a chief diversity officer, Jacobs said, and he promised to increase the pipeline of diverse candidates. That may mean changing the criteria for applicants he said, to eliminate college degrees for positions where they may not be a necessity.

Were also going to increase the mentoring and promotion of the careers of all our employees [including Hispanic and Black employees], Jacobs added.

XPO is known for its aggressive acquisition approach the company has made 17 acquisitions during Jacobs tenure and that will continue, maybe.

I like M&A, Jacobs said in response to a question from Gordon. I think there are opportunities in M&A, particularly in the pandemic era. Will we buy something, I dont know.

In 2019, XPO was said to be looking and Jacobs confirmed the company is still on the hunt, but any deal must make strategic sense and increase shareholder value.

There has to be a strategic reason, there has to be a well-thought out plan for what you are going to do after the acquisition, and there has to be shareholder value, Jacobs said.

When asked by Fuller what he was most proud of during his tenure leading XPO, Jacobs didnt hesitate.

Im most proud of the culture weve created and over the past decade, we are the seventh-best performing stock in the Fortune 500, he said. We powered it all by investing in technology before technology was cool and were reaping the benefits of that technology.

Jacobs added that XPO continues to focus on how to keep employees safe and how it is positioning itself for the future. That includes a heavier focus on verticals such as e-commerce and increasing the use of technology such as robots and machine learning.

The future is more and more automation; thats a trend among the industry, and around the world, he said.

A number of questions focused on COVID-19 and how it is altering the landscape, especially from the technology standpoint.

The evolution of innovation and automation in the warehouse [space] has really impressed me because it improves [satisfaction among customers and employees], Jacobs said in response to a question from Yan.

He said XPO is working with Nestle in Europe on a warehouse of the future, with suppliers offering technologies and XPO contributing the software that will connect these disparate systems. The software, Jacobs said, will be open-sourced.

As to autonomous trucks, Jacobs said there is no doubt they are coming; the question is when? He said the technology wont be the question, it will be the regulations that govern their operation, but autonomous trucks are too efficient not to become a reality.

Jacobs also said that COVID-19 has only reinforced his view of technology, and shown that automation, machine learning and artificial intelligence will play key roles in logistics moving forward. Among the areas he sees evolving because of technology is pricing.

COVID-19 has also accelerated the pace of manufacturers outsourcing their logistics, Jacobs said. One large customer he spoke with is looking to close 20% of its brick-and-mortar stores and shift more business to e-commerce.

They need our help to run that in a very smooth way, Jacobs said.

Near-term, Jacobs is cautious on the economy but is very bullish long-term he said.

The pandemic is going to be over, Jacobs said, noting that the role governments have played in supporting the economy is 100-fold over what was done during the financial crisis of 2007-2008.

Were closer to it being over now than we were a few months ago and once its behind us people are going to be so excited to get out there and be creative and energetic and interact not just in cyberspace.

When we finally let loose and were back in the office and were back working together without fear of getting sick, Im very [excited], Jacobs said.

Click for more FreightWaves articles by Brian Straight.

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FreightWaves 3PL Summit: Brad Jacobs on diversity, automation and COVID recovery - FreightWaves