Government networks are growing larger and more complex each day. Increasing numbers of network devices, servers and applications mean theres less leeway for downtime, hiccups or problems of any sort, not to mention bandwidth.

Fortunately, the tricky art of network capacity planning is getting help from new artificial intelligence and automation tools that can help government IT pros support network growth and scalability while accounting for the challenges of todays modern networking environments.

Lets look at some of these challenges and explore how AI and automation can help government IT pros efficiently use their resources to alleviate these issues:

The growing adoption of hybrid IT environments in government makes it hard to anticipate, plan, and manage network capacity. Legacy network monitoring tools for on-premises networks work well when the agency owns all the network devices, but what happens when it moves to the cloud?

Agencies need tools to scale across these dynamic environments, so they can achieve visibility into network performance across hybrid IT and use insights to make smart, informed capacity planning decisions. For instance, if users experience a degraded application experience, IT managers need deeper insights into whether the issue is with the app, the database connected to the app, systems where the app runs, or the network, such as monitoring critical network paths, so they can determine the appropriate measures needed to improve performance and health.

Todays networks are in a state of flux. Legacy networks were reasonably flat and static; IT knew where switches and personnel were located and could monitor and control traffic flow. But enterprise architectures have evolved to extraordinarily complex environments with billions of connected devices, applications and users.

In the climate of constant change, its imperative for federal IT teams to find ways to maximize network capacity in ways mindful of the bandwidth needs of both users and applications. They must also prioritize and dynamically allocate bandwidth for different applications, so capacity is scaled during peak times and reduced during off-peak hours.

However, without a common way to keep up with a constantly changing network, it can be hard to predict and scale to meet traffic demands, identify problems and bottlenecks, and be more proactive in dealing with issues.

For federal IT pros to address these growing challenges to network capacity planning, they need strong data. Data shines a light on the networks current performance, helps analyze bandwidth utilization and traffic patterns, and informs future bandwidth demand.

Until recently, the data needed for these insights was limited to static reporting on bandwidth utilization. By pairing AI and automation, IT can drive smart, agile network planning actions across the entire network infrastructure.

The first step towards this desired state is traffic monitoring. As the network grows, changes, and more applications and users are added, AI enables network planners to capture large volumes of data from different sources to more accurately and precisely measure network utilization down to the application level. This enables federal IT pros to correlate past performance with future trends, and in real-time for quick remediation.

The next step is using this data to model network behavior based on how applications perform in different scenarios, such as peak and off-peak periods, so the network can be appropriately right sized.

Depending on the risk appetite of the agency, these predictive insights can be combined with automated network configuration practices like software defined networking (SDN) to scale networks more efficiently, even across hybrid IT deployments. Instead of a single network engineer controlling a couple of hundred switches, they could potentially manage thousands from a single pane of glass.

In doing so, IT can elastically scale the network infrastructure as and when its needed to make smarter use of existing resources and budgets. If an increase in traffic is predicted for a critical app, SDN can quickly increase the pipe or change the way the traffic is being routed in an automated way, no human involvement required.

Together, AI and SDN allow federal IT teams to garner a more precise assessment of network capacity and performance utilization, so they can make real-time, automated decisions about capacity and avoid service degradation. Above all, with AI making the basic decisions about capacity and SDN applying a more automated approach to network provisioning, federal government IT managers will spend less time on the more mundane tasks of running agency networks and more time supporting strategic initiatives.

Jim Hansen is the vice president of Products, Application Management at SolarWinds

View post:

Using AI, automation to bolster network capacity planning - Federal News Network

This article is part of a VB special issue. Read the full series: Automation and jobs in the new normal.

Depending on who you ask, AI and automation will either destroy jobsor createnew ones.In reality, a greater push toward automation will probably both kill and create jobs human workers will become redundant in certain spheres, sure, but many new roles will likely crop up. A report last year from PA Consulting, titled People and machines: From hype to reality, supports this assertion, predicting that AI and automation will lead to a net gain in job numbers. This is pretty much in line with findings from the Organization for Economic Co-operation and Development (OECD), a pan-governmental economic body spanning 36 member countries, which noted that employment in total may continue to rise even if automation disrupts specific industries.

Automation has gained increased attention amid the great social distancing experiment sparked by COVID-19. But its too early to say whether the pandemic will expedite automation across all industries. Recent LinkedIn data suggests AI hiring slowed during the crisis, but there are plenty of cases where automation could help people adhere to social distancing protocols from robot baristas and cleaners to commercial drones.

Of course, any discussion about automation invariably raises the question of what it means for jobs.

As were still in the early stages of a broader shift to AI and automation, its not easy to fully envisage what new jobs could crop up and which will be lost.

Slamcore is a London-based startup pushing to commercialize AI algorithms that help robots gain situational awareness from sensor data. Slamcore cofounder and CEO Owen Nicholson says we only have to look at some of todays jobs to realize how difficult it can be to forecast the future.

Contrary to some beliefs, I see robots as creating vast amounts of new jobs in the future, he said. Just like 50 years ago a website designer, vlogger, or database architect were not things, over the next 50 years we will see many new types of job emerge.

Nicholson cites robot pilots as an example.

Ubiquitous, truly autonomous robots are still a long way from reality, so with semi-autonomous capabilities with humans in the loop, we can achieve much better performance overall and generate a brand-new job sector, he added.

Theres a growing consensus that humans will work in conjunction with robots, performing complementary roles that play to their respective strengths.

San Diego-based Brain Corp recently locked down $36 million to help meet the growing demand for autonomous mobile robots (AMRs) across industries affected by the pandemic from health care to retail. Brain Corp is the company behind BrainOS, an operating system that integrates with hardware and sensors and serves as the brains for delivery robots used in warehouses, factories, and retail stores. BrainOS also powers self-driving floor cleaners that assist human workers. The machines come equipped with a range of sensors, including lidar and 3D time-of-flight (ToF) sensors, to self-navigate in dynamic environments.

Above: Robotic floor cleaners powered by BrainOS.

Brain Corp said demand for BrainOS-powered cleaning robots has surged amid the COVID-19 crisis, with retail usage growing 24% in April 2020 alone. A significant percentage of this uptick 68% is occurring during daytime hours, showing that businesses are cleaning more frequently and operating the technology during peak times, Brain Corp executive Michel Spruijt told VentureBeat.

The robots generate a significant amount of performance data, which is automatically compiled into reports that need to be interpreted, assessed, and analyzed to improve operation and fleet performance. While much of this work could be incorporated into existing roles, such tasks may eventually require dedicated employees, leading to the creation of new jobs.

Managers can view the routes being cleaned, take a look at quantitative metrics such as run time and task frequency, and receive notifications around diagnostics and relevant software updates, Spruijt said. An understanding of these reports and how to successfully interpret and apply this data will be imperative in order to improve store operations using automated technologies.

The robots are typically trained to follow routes through a teach and repeat method, with human workers guiding them along a cleaning route and making adjustments if the environment changes. As Spruijt is quick to point out, this process proactively includes humans.

The robot is not a functional robot without the human, he said.

Above: Cleaning equipment giant Tennant develops machines that use BrainOS.

Additional new jobs could include maintenance workers to ensure the AMRs are functioning properly.

The process of physically building a robot and successfully maintaining it in the field requires a set of new or enhanced skills, which are likely to increase alongside adoption of AMRs, Spruijt said. As manufacturing lines start to ramp up robot production, [skill sets such as] tooling, light manufacturing, and familiarity with new hardware like touchscreens and lidars will be necessary. Once in the field, service providers with applied knowledge around robot maintenance and deployment are also important in ensuring success.

Humans and robots have distinct strengths and weaknesses, which is why a human-in-the-loop model makes sense for companies embracing automation. Veo Robotics is a Waltham, Massachusetts-based startup that uses computer vision and 3D sensing to give industrial robots greater perception. Its Veo FreeMove system, which is due to launch next year, is designed to help manufacturers coordinate the best attributes of robots and humans, meaning its neither completely manual nor completely automated.

What Veo does is enable a middle path, one where human workers with their flexibility, ingenuity, and dexterity can do the parts that humans are good at, while robots with their tirelessness and strength can help them by positioning parts or performing other elements of the process that are hard for the human worker, Veo Robotics CEO and founder Patrick Sobalvarro explained. Its much quicker and cheaper to set up a work cell like this than to try to completely automate it because the human worker is able to do exactly the parts that are so hard to do automatically since they involve dexterity, sensing, and judgment.

This means skilled welders will spend more time welding and less time fixturing, and quality technicians will spend more time measuring and less time moving parts around, Sobalvarro added. Everyone will be more comfortable and get more products built.

As industries strive to establish a new normal following the pandemic, human-robot collaboration could prove invaluable.

Manufacturers have to reduce human density in factories to comply with these new [social distancing] rules, Sobalvarro continued. The human-robot collaboration that Veos system provides can address this, as it means that instead of having two humans working closely together in a work cell, you will have a human and a robot working together.

Miso Robotics has been deploying its burger-flipping bots across the U.S. over the past few years. The company recently unveiled a next-gen robotic assistant called ROAR (robot on a rail) that can move between cooking stations, working the deep fryer and flipping burgers.

With widespread lockdowns, restaurants have been among the hardest hit by COVID-19. CEO Buck Jordan naturally believes automation will play a big role in helping the food industry get back on its feet.

Now more than ever, [as] we are facing real new challenges and a whole new normal, navigating it is going to heavily fall on technology. And the restaurant industry is a prime example where automation needs to come in, in order to sustain the industry, drive growth, and create new job opportunities, he said. Incorporating automation into commercial food preparation empowers restaurant operators to safely reopen [and] attract customers with enhanced health and safety, as food comes into reduced contact with humans and points of contamination. [This] ultimately gives them the tools needed to increase production speeds and meet delivery and takeout demands even in the face of new social distancing requirements that limit a full staff in the kitchen.

This all sounds like a death knell for traditional kitchen jobs, but if restaurants arent able to meet safety guidelines, the reality could be much worse.

Without giving restaurants the solutions they need to reopen and recover, the issue wont be robots taking jobs. The real issue will be that theres no jobs to take because restaurants cant turn the profit they need to stay open, much less hire or create new job opportunities, Jordan continued.

While drones incorporate various facets of automation, most require an operator to manage and oversee their deployment. People are needed to program flight paths and step in when things go wrong, and as with other industries perform maintenance.

The commercial drone industry was in ascendance before COVID-19 struck, with reports suggesting the market would grow more than fivefold by 2026 from $1.2 billion in 2018. However, the pandemic seems to have increased demand for drone services in areas such as medical supply deliveries and site inspections. Mike Winn, cofounder and CEO of drone data software platform DroneDeploy, told VentureBeat the company had expected demand to grow across more than 10 industries in 2020 and COVID-19 has only heightened that interest.

Weve already seen growth in drone operations this year, despite COVID-19, Winn said. Our customer data showed 130% year-on-year growth among our active enterprise pilots, with minimal pandemic disruption from April 2019 to April 2020, and we just saw our greatest number of flights ever in May.

The San Francisco-based companys platform allows commercial drone operators to map, survey, and inspect aerial images. These can be used to harness data in industries ranging from agriculture to mining, construction, and insurance.

Above: DroneDeploy provides data capture and mapping software for commercial drone operators.

Even if automation doesnt create many jobs off the bat, drones offer a glimpse into the way traditional roles may evolve, with field engineers gradually shifting into a completely new role.

Weve definitely seen companies training their teams on new skill sets involving drones, Winn said. For example, drone operator is a quickly growing job title. Many field engineers are becoming drone operators as they have been wrapping drones into their roles more and more. In agriculture, this means capturing live field data, applying chemicals with precision, and more.

Dimitri Onistsuk is the cofounder of Freedom Robotics, a San Francisco-based company that builds software to control and monitor fleets of robots. Onistsuk said he is seeing certain roles evolve, and companies may need to expand their workforce to include dedicated specialists.

Companies need to broaden the skill range of their employees, Onistsuk said. For example, were seeing a bifurcation of robotics developers into engineers and operators. Because the demand for solutions is so high, its no longer a viable business decision to have engineers do operational tasks. Therefore it becomes important to have a higher-skilled individual focus on engineering and developing the robots their vision, their algorithms, and so on and have others focus on things like piloting, field operations, maintenance, and servicing.

Companies may have to reevaluate their workflow to ensure peoples skills are being used effectively. Its not efficient to send your top engineers across the country to fix a broken robot that is just sitting on the floor of an impatient customers site, Onistsuk added.

Like others in the robotics sphere, Onistsuk said Freedom Robotics has seen a dramatic increase in demand during the pandemic. More specifically, companies that were dabbling in the technology are now accelerating their plans.

Customers have always taken the potential of robotics seriously, but now were also seeing a much greater sense of urgency, where they are no longer waiting years to get their prototypes just right and are instead rapidly moving toward deployment, he said.

Onistsuk points to customers for real-world examples of how robots can augment the human workforce. These include teleoperator pilots and managers who supervise robots that are taking over some of the more mundane aspects of their role. In the case of pilots, we are seeing humans in the loop, where a semi-autonomous delivery vehicle encounters an exception, such as a reflective material inside a warehouse or a bush that is difficult to navigate around near a sidewalk, and a human takes over via GPS, remote control teleoperation, or a script to reset back to autonomy, he said. In the case of manufacturing, robots are delivering parts to a particular station where their human counterparts take them and add them to the assembly.

While it may be difficult to pin down the kinds of new roles that could emerge, it can be fun to speculate. Onistsuk considers a scenario in which a robotic snowplow struggles to tell the difference between a snowbank and a car underneath a layer of snow, requiring a remote operator to step in and interpret the scene and manually navigate if required. As new technologies mature in the coming years, well begin to get a clearer picture of the ways AI and automation will impact the workforce.

I think server and edge operations for robotics will be very important, where the necessary infrastructure is managed and assets are tracked, Onistsuk said. 5G will bring a tidal wave of possibilities and will have a big effect on robotics and will require a new set of technical skills. I think there will also be a new generation of hybrid workers for jobs that are around today but that will be done collaboratively with a robot sanitation, industrial inspection, surgery, and so on.

A 2018 report from PricewaterhouseCoopers (PwC) noted that the industries likely to benefit most from AI are human and highly technical sectors, such as health care, education, and science. Teaching requires high levels of interpersonal skills that cannot easily be replaced by AI systems or robots, although they can be complemented by them to meet projected rising demand for education over time, the report found. As such, we only expect around 5% of educators to be displaced by AI, more than offset by job creation of 10%.

The report noted that machines could take on some of the more boring teaching tasks, such as marking homework or administering multiple choice tests. The report adds that the sectors more likely to experience net job losses are those with a high degree of repetitive and routine tasks.

One example is manufacturing, which PwC estimates will see 25% fewer jobs by 2037 as a direct result of automation. Meanwhile, 40% of existing transportation and storage jobs could be displaced by automation due to a rise in driverless vehicles and automated warehouses with less than half of those replaced by new types of jobs.

A recent report from the International Federation of Robotics (IFR) noted that there will be an operational stock of almost 4 million industrial robots in factories globally by 2022 and predicted high demand for robotics skills as part of the post-pandemic recovery process. The report added that governments will need to focus on education and training to equip their workforce with the necessary skills.

Even if AI and automation lead to net job creation across the board, there will be significant disruption and upheaval as the global workforce adapts to shifting demands. Some roles may become obsolete, while others may branch into new directions or lead to the creation of entirely new job titles. What is easier to predict, however, is the emphasis these changes will place on upskilling and retraining in the years ahead.

Go here to see the original:

How robotics and automation could create new jobs in the new normal - VentureBeat

Certification for Automation

In a recent Manufacturing Skills Standard Council (MSSC) meeting, they announced a new, industry-led certification to provide companies with higher skilled technicians. "Certified Technician in Supply Chain Automation" (CT-SCA) will be a hands-on training and certification program, launched off the back of COVID-19.

Companies Implementing Automation

COVID-19 proved that the retail economy is becoming more e-commerce based, meaning orders shipped directly to consumers from large distribution centres have increased. This effect has encouraged the e-commerce industry to invest in automation technologies. Supply chain technologies are becoming more prominent in business processes and it seems that automation alongside machine learning and artificial intelligence are the future of Industry 4.0.

In a May 2020 Visual Capitalist Infographic, it shows that 55% of retail, management and logistics professionals are investing in warehouse automation and 47% in predictive analytics. It is expected that most companies are looking at implementing automation in the future but 23% have already acquired new automation technology, yet surprisingly 26% arent looking to implement.

In a Gartner report, it showed that 30% of operational warehouse workers will be supplemented, not replaced, by collaborative robots in 2023. This shows how essential the implementation of technology is and will be in the future, especially now COVID-19 has proven to be a catalyst in technology adoption.

The recent pandemic has thrown many challenges into the procurement and supply chain sector and proved that technology would be essential for successfully implementing social distance and risk mitigation in warehousing and distribution. AI-based automation within warehouses is extensive. The opportunities for implementing such technologies is becoming readily available, from mechanical arms that can sort and handle cargo to intelligent software capable of calculating daily stock rotations.

PayMate Supply Chain Automation Platform

PayMate has launched a new supply chain payment automation platform for large distributors and their suppliers. The platform allows businesses to automate and extend their day payables by using commercial cards. It is a cloud-based platform that has features including multiple payment modes, automating invoicing,e-procure and e-discounting.

It believes businesses require working capital for growth and therefore, PayMates platform simplifies the process and makes it easy to access capital, offering over 325mn in credit extended to SMEs (small and medium sized enterprises).

Read more:

Is Automation the Future of the Supply Chain? | Technology - Supply Chain Digital - The Procurement & Supply Chain Platform

Automation Testing Market Snapshot

Automation testing is a type of software testing technique used for comparing and testing the real-world outcomes with the expected set of outcomes. This is achieved by using any automation tool or writing program scripts. Test automation is primarily used for automating cumbersome and repetitive tasks and some other testing activities that are difficult for manual testing.

Get Exclusive PDF Sample Copy Of This Report:https://www.tmrresearch.com/sample/sample?flag=B&rep_id=3539

In automation testing, the tester writes the scripts by their own and use suitable software to test these cases. The primary objective of automation testing is to improve the efficiency of the test cases and develop the software value.

The global automation testing market features a highly consolidate competitive landscape with a few leading players holding the dominant share of the market.

Some of the recent developments in the global automation testing market are given below:

In October 2019, IBM, one of the biggest brands in the field of technology, announced that the company has released it AutoAI. It is a new set of capabilities for its flagship product Watson Studio. These new capabilities are designed for automating several of the often complex and tedious activities associated with optimizing, governing, and designing Artificial Intelligence in the enterprise.

Automation testing in a broader sense can be considered as the technique that uses automated applications to accelerate the development of software through its complete life cycle. It also improves the performance of the testing software, while adding value to the software. The automation tools under the testing writes and executes test cases. The drive for automation testing stems from the need for constant updates and upgrades in software and tools, attributed largely to proliferating usage of mobile phones and related technologies. The need for shortening delivery time for products and services while meeting well the various expectations of consumers is a key factor that has bolstered the demand for automation testing.

With DevOps methodology gathering immense steam in an enterprises IT framework, the demand for automation testing will witness a robust impetus. DevOps is a framework that bridges the gap between the role of application development and systems operations teams in an organization. Automation testing seeks to up the return on investment (RoI).

However, there are several factors that tend to cripple the demand dynamics of automation testing, the key of which are data privacy and protection mechanism. However, constant advances in technology used for test automation augurs well for the market. The testing is also witnessing usage in quality assurance applications. The advent of smart test platforms spanning several browsers help in expanding the lucrativeness of automation testing. These platforms are characterized by being self-adaptive so that they can support the testing through the entire application lifecycle. The focus to adopt agile methodologies of testing also augurs well for the automation testing market. The dynamically changing needs of software automation, especially for heterogeneous environments, will unlock lucrative options for providers of automation testing software.

Buy This Report @https://www.tmrresearch.com/checkout?rep_id=3539<ype=S

Global Automation Testing Market: Overview

Automating processes to achieve greater efficiencies has been a long-standing trend among organizations who seek greater shares over their competitors. However, merely paying and adopting automation methods is not a full-proof plan in itself, as there will always be aspects that need regular testing. This need is a result of consistent updates in interconnected software, tools, and technologies, which organizations adopt overtime to achieve greater customer satisfaction, product quality, and successful deployment of services within short periods of time. And, this need has been stoking the demand in the global automation testing market, which has been projected to expand at a robust growth rate during the forecast period of 2017 to 2025.

This automation testing market report is a comprehensive and figurative assessment of each and every segment that will be fruitful for the stockholders over the course of next ten years. Prepared by a group of technology market research analysts, the report aspires to aid as a business tool for its targeted audiences such as automation testing tool providers, test organizations, managed service providers (MSPs), quality assurance (QA) providers, consultancy firms, software developers, and governments. The report provides in-depth analysis of all drivers, restraints, and opportunities of the automation testing market, gauges the substantiality of the demand that will be coming from every important region and country, and profiles some of the leading companies of the testing industry to provide insights on the competitive landscape.

Global Automation Testing Market: Drivers and Restraints

The radical manner in which smartphones and other interconnected devices have gone ubiquitous is the primary driver of the market for automation testing. Organizations are inclining towards intelligent automated methods and are depending on smart analytics to take critical decisions and counter business challenges better. The adoption of DevOps methodologies and agile software has mounted in the recent past as organizations aspire for complete application lifecycle and a framework that is commercially viable. Increasing return on investment (RoI) has been noticed and the market for automation testing is feeding off it.

On the other hand, the concerns pertaining to data security and privacy, strong lack of skilled and experienced professionals to work with advanced tools, and the need for selection and management of testing tools are some of the factors obstructing the automation testing market from attaining a higher growth rate.

Global Automation Testing Market: Niche Opportunities

Advancement in technologies has paved way to smart test platforms that can observe and adapt on their own, and support multiple operating systems including Mac, Windows, and Linux as well as different browsers such as Firefox, Chrome, Internet Explorer, and Headless browsers. Scripts are now being written in different programming languages such as Python, Java, Ruby, PHP, and Perl, and testers are welcoming the flexibility to write complex scripts.

Based on testing type, the market for automation testing can be segmented into non-functional testing and functional testing. Testing type bifurcation of the market can be done into API testing, usability testing, compliance testing, compatibility testing, andsecuritytesting. Services categorization of the market can be into support and maintenance, planning and development, advisory and consulting, documentation and training, and others such as framework services, RoI analysis services, and assessment services.

Global Automation Testing Market: Competitive Landscape

Although there are a number of players venturing in this market, considerable chunk of shares remain consolidated within a handful of International players such as Capgemini, IBM, Microsoft, CA Technologies, Tricentis, Micro Focus, SmartBear Software, Cigniti Technologies, Parasoft, Ranorex, and TestPlant. These companies are focused on partnerships, collaborations, and agreements to hold onto their position of strength.

To know more about the table of contents, you can click @https://www.tmrresearch.com/sample/sample?flag=T&rep_id=3539

About TMR Research

TMR Research is a premier provider of customized market research and consulting services to busi-ness entities keen on succeeding in todays supercharged economic climate. Armed with an experi-enced, dedicated, and dynamic team of analysts, we are redefining the way our clients conduct business by providing them with authoritative and trusted research studies in tune with the latest methodologies and market trends.

See the rest here:

Automation Testing Market to Reap Excessive Revenues by 2025 - Scientect

Did you throw out your creative plan this year? You werent alone.

Of course, scrapping a campaign at a moments notice is nothing new, but entire year-long creative plans went out the window in one fell swoop once the pandemic hit. Campaigns have paused and assets have been discarded, but one part of marketing plans that has remained is the urgency to deliver thoughtful creative work that meets customer needs.

Research by Ebiquity shows brands that increase spending during a recession achieve market share gains averaging 1.6 percentage points during the first two years of a recovery.Winning brands arent going silent.

Most of all, what customers want from brands is transparency, product information, and available services. Tell audiences about new curbside pickup or what youre doing to make deliveries safer. Think of how you are removing friction and easing customers worry and then speak about it, because not only are they listening, but theyre also paying attention to those who havent gotten it right.

Aside from finding the right story angle for customers, many marketing and in-house creative teams are struggling to produce enough new assets and push them quickly out the door, especially as they adjust to remote work. Here are some of the most common challenges brand-side creative teams face during these times and how creative automation can help overcome them.

If traditional in-store brand campaigns are on hold, businesses need to drive customers to shop online instead. Creative messaging and product images must be updated to reflect this change so brands can meet different audiences while staying true to their core messaging. But above all, brands must remember to be conscientious of the current climate. Right now isnt the time to run ads and content where people are socializing outside, coming together in groups, or even just working in the office. Brands need to find a way to represent the new normal, both visually and in copy, and make those updates to live campaigns quickly.

Brands with national or global operations need to be equipped not just for the national or global stage but for local markets and local retailers. Each country has its own e-commerce ecosystem that requires customized creative, visuals, and messaging. Now, individual counties also have varying guidelines as a result of coronavirus. The challenge is to be able to distribute these assets fast enough and empower markets without letting them go off-script or off-brand.

With creative teams (both internal and external) operating fully remotely, many are struggling to bring everyone together to come up with ideas, produce, and effectively launch creative fast enough. The new normal is forcing rapid digital transformation throughout organizations, which is positively impacting creative production. Much like the ad buying platform book of the 2010s was for media teams, creative automation is emerging as a solution for creative teams to improve current workflows while saving time and resources.

Brands that are succeeding in organizing their remote work effectively have centralized creative production in the cloud. It unifies team collaboration and communication as everything happens in real time. Marketers can move the review and approval process from back-and-forth emails to the software for easier approvals. Designers can even make changes to live creative, which is updated instantly in campaigns, encouraging creative agility.

Creative automation can help innovative brands ameliorate bogged-down workflows, slow production times, and the monotonous tasks associated with content scaling. This new category of software changes the way brands digitally advertise by having software perform repetition for high-volume design or creative production functions.

From generating creative variants on demand to enabling creativity features and animation tools that create unique, brand-specific templates, creative automation allows teams to worry less about the processes and focus on what they do best.

Brands that use software to automate and scale are the ones that are able to get ahead with their creative production, leaving them more time to spend on ideation and creative variety. In practice, it means that theyre able to make changes to existing creative faster, get more done with the same resources, and bring remote teams together for an agile response during this critical time.

Brands that are quick to adapt their production approach today will remain ahead of the game once we return to more normal times. Crisis or not, the world is continuing to evolve to digital. Brands that are backed by speed and flexibility will be able to launch more content that resonates with their customers. With more relevant content, brands can reach and activate the right audience and ultimately out-market competitors.

Miha Mikek is CEO and founder of Celtra.

Continue reading here:

How Brands Meet Evolving Customer Expectations with Creative Automation - Street Fight

Enterprises are inspired by the capability of automation to significantly diminish time to market and to increase the number of AI projects that they can take on with their available staffing. One thing that many are not as mindful of, yet will absolutely find later, is that available plans can fundamentally expand the quality of solutions also.

This need comes when data analytics is turning out to be strategic to an ever increasing number of organizations. New data is continually accessible, volumes are expanding and organizations need to utilize the data to drive further and more important insights as they hope to turn out to be more competitive.

Data scientists are vital to opening the story behind this information. These profoundly gifted experts interrogate and recognize key trends and patterns within the data available, making a noteworthy commitment to an organizations overall performance.

In any case, as implied above, data science requires an expansive array of complex and scarce skills including (yet not restricted to) quantitative disciplines, for example, statistics, ML, operations research and computational linguistics. Whats more, shockingly, as the market at present stands, there essentially arent sufficient talented and qualified individuals to satisfy this demand.

All things considered, there is a middle ground where the gap can be greatly reduced. Companies can upskill and train existing employees to guarantee everyone can deal with data and demonstrate compelling in the data value chain especially in lines of business where its range and effect can be most felt, for instance in marketing and product development.

Take organizations like SnapLogic, which utilizes visual programming interfaces to do some complex automation tasks and data integration tasks, without really any coding. Or on the other hand DataRobot, in the matter of automating certain data science activities.

All in all, is the eventual fate of the data scientist hiding in the cemetery? However, when you address individuals at DataRobot or SnapLogic, they dont see it like that. Or maybe they imagine the demand for data scientists going one way and that is up, yet in corresponding with this, undeniably more tasks, recently observed as the preserve of data scientists, might be done by others, or to be sure, automated.

Its the accentuation on the word both that is pivotal. Data scientists to do some of the work, non-data scientists to accomplish less technical work. Since the demand is extending, the market for the two sorts is developing quickly.

By certain estimates, data scientists spend around 80% of their time on monotonous and repetitive tasks that can be completely or partially automated. These tasks may incorporate data preparation, feature engineering and selection, and algorithm selection and evaluation.

Different tools and methods intended to automate such tasks have been presented by both established vendors and startups. Automating the work of data scientists helps make them more beneficial and more effective. Companies can utilize data science automation to engage and use the oversubscribed ability.

Progressively, business or nontechnical clients have tools available to them that can deliver data-based insights without including analytics specialists, including data scientists. Self-service analytics tools offered by numerous business intelligence and analytics vendors now incorporate highlights to augment data analytics and discovery.

Some automate the way toward creating and deploying machine learning models. Features, for example, natural language query and search, visual data discovery, and natural language generation help clients consequently find, visualize, and describe information discoveries like correlations, exceptions, clusters, links, and predictions. These capacities engage business clients to perform complex data analysis and get snappy access to modified experiences without depending on data scientists and analytics teams.

Automation disentangles data maintenance tasks, for example, adjusting and tuning data warehouses. A company should exploit the numerous tools that encourage consequently incorporating new information sources or relocating information from legacy frameworks. For instance, Stitch parent Talends suite of data integration applications permits clients to make compartmentalized data migration jobs that clients can schedule and automate.

A smart framework with access to data ingestion and replication schedules can screen accessible data bandwidth as well as engineering and delivery schedules. It can run bunch ingestion and handling tasks at suitable occasions, and tune streaming frameworks real-time without human intercession.

All things considered, however, numerous parts of the data analytics stack can profit by automation, human intelligence remains irreplaceable. Posing inquiries, approving data or statistical models, and making an interpretation of numbers and graphs to actionable insight are largely assignments that cant or ought not to be left to machines.

For those new to automating data science, the most direct spot to begin is toward the finish of the data science pipeline, the modeling stage. It is simple and clear to automate HPO in light of the fact that you can see quick gains in your data science ventures.

At that point, one can move to automate the decision of machine learning models. Many companies are centered around going past this phase to likewise address data preparation, since it is of high enthusiasm to data scientists, being the place they burn through the greater part of their effort ordinarily. It is one of the most significant research frontiers.

Read more:

Is Automation of Data Science Tasks the Future? - Analytics Insight

RESTON, Va., Aug. 20, 2020 (GLOBE NEWSWIRE) -- Carahsoft Technology Corp., The Trusted Government IT Solutions Provider, today announced a partnership with HashiCorp, the leader in multi-cloud infrastructure automation software. Carahsoft will serve as HashiCorps Master Government Aggregator, making HashiCorps suite of cloud infrastructure provisioning and management products available through Carahsofts NASA Solutions for Enterprise-Wide Procurement (SEWP) V and OMNIA Partners contracts and the companys reseller partners. In addition, HashiCorp software is now available under Carahsofts U.S. Air Force DevSecOps BOA, which is established to support the U.S. Air Force LevelUP mission as well as the DevSecOps goals of the greater Department of Defense (DoD) and related agencies.

We are excited to make HashiCorps extensive portfolio of infrastructure automation products available to the public sector, said Natalie Gregory, Vice President of Sales at Carahsoft. As the demand for IT modernization solutions continues to grow, its crucial to provide our government customers and reseller partners with a product suite that provides continuous control, visibility, monitoring and security to power their missions and enable each of their unique use cases.

HashiCorps solutions allow government agencies to deliver cloud infrastructure automation for operations, security, networking and application delivery. Each product addresses specific technical and organizational challenges of cloud infrastructure automation.

This dynamic portfolio of solutions unlocks the cloud operating model for agencies, allowing extensive management and security capabilities for their infrastructure. By providing complete visibility, simplifying operations, and supporting development and deployment, the HashiCorp suite of solutions gives public sector end users various tools and methods to better protect, control and review their systems.

Carahsofts deep public sector expertise coupled with its customer-centric approach for government agencies and end users provides an ideal model for HashiCorp to help our joint customers provision, secure, connect and run applications on-premises or in the cloud. Partnering with Carahsoft as our Master Government Aggregator enables government agencies to easily procure HashiCorp enterprise solutions and accelerate their journey towards adopting a cloud operating model, said Michelle Graff, HashiCorp global channel chief.

HashiCorps products are available through SEWP V contracts NNG15SC03B and NNG15SC27B, OMNIA Partners contract #R191902 and U.S. Air Force BOA FA8307-20-G-0004. For more information, contact the HashiCorp team at Carahsoft at (703) 871-8570 or HashiCorp@carahsoft.com.

About Carahsoft

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider. As a top-performing GSA Schedule and SEWP contract holder, Carahsoft serves as the Master Government Aggregator for many of its best-of-breed technology vendors, supporting an extensive ecosystem of manufacturers, value-added resellers, system integrators and consulting partners committed to helping government agencies select and implement the best solution at the best possible value.

The companys dedicated Solutions Divisions proactively market, sell and deliver HashiCorp, VMware, Amazon Web Services (AWS), Palo Alto Networks, Symantec, Veritas, McAfee, Dell, Adobe, F5 Networks, Google Cloud, ServiceNow, Open Source, Micro Focus Government Solutions, SAP, Salesforce, and Innovative and Intelligence products and services, among others. Carahsoft is consistently recognized by its partners as a top revenue producer and is listed annually among the industrys fastest growing and largest firms by CRN, Inc., Forbes, Washington Technology, The Washington Post, Washington Business Journal, and Bloomberg Government. Visit us at http://www.carahsoft.com or follow us on Twitter and Facebook.

Contact:

Mary Lange(703) 230-7434PR@carahsoft.com

Read more:

HashiCorp Partners With Carahsoft to Bring Cloud Infrastructure Automation to the Public Sector - GlobeNewswire

Global Robotic Process Automation Market report provides information regarding market size, share, trends, growth, cost structure, capacity, revenue and forecast 2026. Robotic Process Automation Market aims to provide Current market intelligence and help decision makers take sound investment evaluation. This report also includes the overall and comprehensive study of the Robotic Process Automation market with all its aspects influencing the growth of the market. This report is exhaustive quantitative analyses of the Robotic Process Automation industry and provides data for making strategies to increase the market growth and effectiveness.

Get sample copy of Robotic Process Automation Market report @ https://www.adroitmarketresearch.com/contacts/request-sample/903

This crucial research report is an in-depth and crucial extensive market presentation presented meticulously to derive optimum understanding on market developments as well as the growth factors, dynamics, in the form of growth drivers, restraints, threats, challenges and the like that have a resonating catalytic impact on onward growth trail of global Robotic Process Automation market. Proceeding further through the dedicated research report on the Robotic Process Automation market, report readers are expected to gain clarity in their comprehension about the key manufacturing landscape, encompassing both historical and current perspectives that eventually enable growth upsurge in the global Robotic Process Automation market. Vital analysis of various factors such as pricing matrix and sales figures, sales volume and bulk production, overall growth review and margin, chances of growth in the future and their range amongst other additional growth determinants that influence growth in the Robotic Process Automation market.

Top Leading Key Players are:

Nice Systems Ltd., Automation Anywhere, Blue Prism, Celaton, IPSoft, Pegasystems, Redwood Software, UiPath, Verint, Xerox among other

Browse the complete report @ https://www.adroitmarketresearch.com/industry-reports/robotic-process-automation-rpa-market

Robotic Process Automation Market report offers detailed coverage of the market which includes industry chain structure, definitions, applications, and classifications. The report offers SWOT analysis for Robotic Process Automation market segments. The report provides helpful insights into all the leading trends of the Robotic Process Automation market. It delivers a comprehensive study of all the segments and shares information regarding the leading regions in the market. It also provides statistical data on all the recent developments in the market. It also comprises a basic overview and revenue and strategic analysis under the company profile section. Robotic Process Automation market analysis is provided for the international markets including development trends, competitive landscape analysis, investment plan, business strategy, opportunity, and key regions development status. This report also states import/export consumption, supply and demand Figures, cost, industry share, policy, price, revenue, and gross margins.

Global Robotic Process Automation market is segmented based by type, application and region.

Based on Type, the market has been segmented into:

by Type (Tools and Services)

Based on application, the market has been segmented into:

NA

Additional topics covered in the global Robotic Process Automation market report are as below:Robotic Process Automation Market Analysis Report contains all Analytical and Statistical brief about Market Overview, Growth, Demand and Forecast Research with strong overview and solution in the composite world of Robotic Process Automation Industry. Robotic Process Automation Market Research Report Highlights include key Market Dynamics of sector. Various definitions and classification of applications of the industry and Chain structure with Upstream Raw Materials, Sourcing Strategy and Downstream Buyers are given. This Robotic Process Automation Market Research report focuses on the Key Manufacturers Profiles in Detail with Granular Analysis of the Market Share, Production Technology, Market Entry Strategies, Revenue Forecasts and Regional Analysis of the Market. Additionally, prime strategical activities in the market, which includes product developments, mergers and acquisitions, partnerships are discussed.

The Global Robotic Process Automation market is displayed in 13 Chapters:Chapter 1: Market Overview, Drivers, Restraints and OpportunitiesChapter 2: Market Competition by ManufacturersChapter 3: Production by RegionsChapter 4: Consumption by RegionsChapter 5: Production, By Types, Revenue and Market share by TypesChapter 6: Consumption, By Applications, Market share (%) and Growth Rate by ApplicationsChapter 7: Complete profiling and analysis of ManufacturersChapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expensesChapter 9: Industrial Chain, Sourcing Strategy and Downstream BuyersChapter 10: Marketing Strategy Analysis, Distributors/TradersChapter 11: Market Effect Factors AnalysisChapter 12: Market ForecastChapter 13: Robotic Process Automation Research Findings and Conclusion, Appendix, methodology and data source

For Any Query on the Robotic Process Automation Market: https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/903

About Us :

Adroit Market Research is an India-based business analytics and consulting company. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

Contact Us :

Ryan JohnsonAccount Manager Global3131 McKinney Ave Ste 600, Dallas,TX 75204, U.S.APhone No.: USA: +1 972-362 -8199 / +91 9665341414

More here:

Robotic Process Automation Market 2020 Trending Innovation, New Technology, Growing Opportunities, Major Players, Industry Outlook And Regional...

At this point, weve lost count of how many automation projects weve seen with some variant of a Raspberry Pi at the helm. Which is hardly surprising, as the boards are cheap, powerful, and well documented. The list of reasons not to use one has never been very long, but with the PiCon One that [Frank] has been working on, its about to get even shorter.

The project takes the form of an IP65 industrial enclosure and support electronics that the Raspberry Pi Zero W plugs into. While expandable in nature, [Frank] has a core set of features hes aiming for as a baseline such as additional serial ports, integrated uninterruptible power supply, a battery-backed Real Time Clock (RTC), an array of programmable status LEDs, and support for XBee and GPS plug-in modules. Feedback is provided through a pair of four digit seven-segment displays and a color 320480 TFT screen running a custom user interface.

[Frank] envisions the PiCon One for use as a rugged solar power controller, eventually able to measure array output, energy consumption, and even operate motorized mounts to keep the panels pointed at the sun. To that end, hes recently been experimenting with running JPLs Horizon software on the Pi to determine the suns position in real-time. But the device is capable of so much more, and would make an ideal controller for many home and potentially even industrial applications.

Follow this link:

Building The Ultimate Raspberry Pi Automation Controller - Hackaday

Workload Scheduling and Automation Software Market Trends, In-Depth Research on Market Size, Emerging Growth Factors, Global 2020 Trends and Forecasts 2025

The Workload Scheduling and Automation SoftwareMarket report is one of the most comprehensive and important dataabout business strategies, qualitative and quantitative analysis of Global Market.It offers detailed research and analysis of key aspects of the Workload Scheduling and Automation Softwaremarket. The market analysts authoring this report have provided in-depth information on leading growth drivers, restraints, challenges, trends, and opportunities to offer a complete analysis of the Workload Scheduling and Automation Softwaremarket.

The researchers have considered almost all important parameters for company profiling, including market share, recent development, gross margin, future development plans, product portfolio, production, and revenue. The report includes detailed analysis of the vendor landscape and thorough company profiling of leading players of the Workload Scheduling and Automation Software market.

Get PDF sample copy of this report(Including impact of Covid-19)@: https://www.marketinforeports.com/Market-Reports/Request-Sample/154274

Top Leading players covered in the Workload Scheduling and Automation Software market report: IBM, CA Technologies, ASG Technologies, Advanced Systems Concepts, Cisco Systems, Stonebranch, VMWare, BMC, BetterCloud, CenturyLink, Hitachi Vantara Corporation, HPE, Mitratech, Oracle, Resolve Systems, Savision and More

Market Segment By Type:Cloud-BasedOn-Premise

Market Segment By Application:Large EnterprisesSmall and Medium-sized Enterprises (SMEs)

The global Workload Scheduling and Automation Software market is analyzed across key geographies namely: North America, Europe, Asia-Pacific, South America, Middle East and Africa. Each of these regions is analyzed on basis of market findings across major countries in these regions for a macro-level understanding of the market.

The latest report added by Market Info Reportsdemonstrates that the global Workload Scheduling and Automation Software market will showcase a steady CAGR in the coming years. The research report includes a thorough analysis of market drivers, restraints, threats, and opportunities. It addresses the lucrative investment options for the players in the coming years. Analysts have offered market estimates at a global and regional level.

Major Points Covered in TOC:

Overview: Along with a broad overview of the global Workload Scheduling and Automation Software market, this section gives an overview of the report to give an idea about the nature and contents of the research study.

Analysis on Strategies of Leading Players: Market players can use this analysis to gain competitive advantage over their competitors in the Workload Scheduling and Automation Software market.

Study on Key Market Trends: This section of the report offers deeper analysis of latest and future trends of the Workload Scheduling and Automation Software market.

Market Forecasts: Buyers of the report will have access to accurate and validated estimates of the total market size in terms of value and volume. The report also provides consumption, production, sales, and other forecasts for the Workload Scheduling and Automation Software market.

Regional Growth Analysis: All major regions and countries have been covered in the report. The regional analysis will help market players to tap into unexplored regional markets, prepare specific strategies for target regions, and compare the growth of all regional markets.

Segmental Analysis: The report provides accurate and reliable forecasts of the market share of important segments of the Workload Scheduling and Automation Software market. Market participants can use this analysis to make strategic investments in key growth pockets of the Workload Scheduling and Automation Software market.

For More Information:https://www.marketinforeports.com/Market-Reports/154274/Workload-Scheduling-and-Automation-Software-market

The study objectives are:

Customization of the Report:

Market Info Reports provides customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities.

Get Customization of the [emailprotected]:https://www.marketinforeports.com/Market-Reports/Request-Customization/154274/Workload-Scheduling-and-Automation-Software-market

Contact Us:Mr. Marcus KelCall: +1 415 658 9988 (International)+91 84 839 65921 (IND)Email: [emailprotected]

Read more here:

COVID-19 Update: Global Workload Scheduling and Automation Software Market is Expected to Grow at a Healthy CAGR with top players IBM, CA...

TRUSSVILLE, Ala., Aug. 21, 2020 /PRNewswire/ --For the third time, SPOC Automation has been named to the 2020 Inc. 5000, Inc. magazine's annual listof the fastest-growing privately held companies in America.

"This is an honor for everyone at SPOC," Bobby Mason, the company's CEO, says. "Our growth is the direct result of the incredible work and dedication of everyone on our team. To have been named to this prestigious list for the third time, that should make everyone on our team proud."

Every year, the magazine compiles a list of the fastest-growing privately held companies based on percentage revenue growth over a three-year period. This list honors businesses of all sizes, and past winners have included such notable brands as Microsoft, Timberland, Intuit, Oracle and Patagonia.

About SPOC AutomationSPOC Automation is a U.S.-based innovation company specializing in automation technology for the oil & gas industry. SPOC manufactures products to automate processes in the upstream and midstream markets, specifically for artificial lift, water management and compression applications.

For more information, call (205) 661-3642or visit SPOC Automation at spocautomation.com.

CONTACT:Tina WillisAccount Executive(205) 730-2316 [emailprotected]

SOURCE SPOC Automation

Home

Read the original:

SPOC Automation Named to the Inc. 5000 List for the Third Time - PRNewswire

From false claims that drinking warm water with lemon protects against the coronavirus to high contamination rates among NATO troops based in Latvia, the pandemic has been ripe for many kinds of hoaxes and disinformation campaigns.

Between January and March, the Reuters Institute for the Study of Journalism noticed that the number of fact-checks rose by 900%, which probably means an even higher increase in fake news occurrences since many of them likely slipped through the net.

Although media literacy is essential to turning the tide, the use of automation and algorithms could help conduct fact-checking efforts at scale. In his 2018 report, Lucas Graves essentially identified two types of automated fact-checking: fact-checks that verify claims by validating them against an authoritative source or a story that had already been verified, and fact-checks that rely on secondary signals such as stance detection a computing technique that determines whether a piece of text agrees or disagrees with a claim.

Here is an overview of journalistic uses and research projects looking at both aspects.

Squash: Duke University Reporters Lab has been experimenting with Squash, a computer program that transforms TV captions into strings of text, then matches them against a database of previous fact-checks. Squashs goal is to verify politicians statements almost instantaneously, although its research team admitted the program still requires human help to decide whether it should broadcast its own findings.

Full Fact: The London-based fact-checking organization Full Fact is also able to spot dubious claims through TV subtitles, by matching them against its own catalog of verified fact-checks and by using reliable data, such as governmental statistics, to verify unchecked statements.

But even reliable data needs to be thoroughly checked. In Graves report, Full Facts founding head of automation stressed that official figures could easily be taken out of context, such as when the murder rate in the United Kingdom spiked in 2003, but only because the murders committed by a notorious serial killer the years before were officially included in the statistics at that time.

Chequeabot: Like Squash and Full Fact, Chequeabot an initiative of the Argentinian fact-checking organization Chequeado automatically scans national media for controversial statements. It then matches them against an existing database and creates text files that fact-checkers can share on social media. But Chequeabot is nevertheless impacted by the lack of raw data in Argentina, prompting Chequeado to look at partnerships with the government, but also with universities, think tanks and unions.

IFCNs Chatbot: In the midst of the pandemic, the International Fact-Checking Network put together a database of fact-checks, now made of more than 7,000 entries in more than 40 languages. In May, the fact-checking alliance launched its own WhatsApp chatbot, which is able to dig through that database in order to respond to a users keyword request. First available in English, the WhatsApp Chatbot is now available in Spanish, Hindi and Portuguese.

The University of Waterloo: A research team at the University of Waterloo, in Canada, is looking at stance detection in order to build a tool able to detect fake news by comparing claims with similar posts and stories. The researchers programmed algorithms to learn from the semantics found in training data and managed to accurately determine claims nine times out of 10. They envisage their solution as an assisting tool aimed at filtering out fake content, so as to help journalists pursue claims worth investigating.

MIT: One problem that stems from stance detection, though, is that it tends to reproduce our own biases toward language. For instance, negative statements are viewed as more likely to convey inaccurate content, while affirmative ones are generally associated with a sense of truth. This is what a MIT research team found while testing algorithmic models on existing datasets. It prompted them to develop new models. The team also called attention to the issue of claims being true at a moment in time, but no longer accurate past a certain point.

In his report, Graves also pointed to other cues that could help debunking fake information at scale. These could range from stylistic features, like the kind of language used in a social media post or a supposed news report to the network position of a source or the way a particular claim or link propagates across the internet.

But as advanced as automated solutions are, they are still challenged by the many reasons were drawn to believe fake news in the first place whether its biased reasoning, distracted attention or repeated exposure, for instance. Moreover, theres the additional risk of running the backfire effect, a notion that predicts that when a claim strongly aligns with someones ideas, this person is further reinforced in his or her own views once being exposed to the truth.

In the end, automated fact-checking will only be successful if closely intertwined with media literacy.

Samuel Danzon-Chambaud is a Ph.D. researcher on the JOLT project, which has received funding from the European Unions Horizon 2020 research and innovation program under the Marie Skodowska-Curie grant agreement No 765140.

Read more here:

Automated fact-checking can catch claims that slip past human checkers. Here are the two ways they work. - Poynter

GlobalRobotic Process Automation Marketresearch report makes professional reputation better in the field, builds more credibility and helps others to have more assurance and trust in the conclusions. This report helps all sizes of businesses by providing informed decisions on the different aspects of business. The market report is a professional in-depth study on the current state for the market industry. Analysis and discussion of important industry trends, market size, and market share estimates are mentioned in the report. A winning Robotic Process Automation business report is most relevant, exclusive, fair and creditable international market research report which converts complex market insights into simpler version.

Robotic Process Automation Market analysis gives an examination of various segments that are relied upon to witness the quickest development amid the estimated forecast frame. In this Robotic Process Automation Market report, statistics are represented in graphical format for a clear understanding on facts and figures. The report also consists of all the market drivers and restraints which are derived from SWOT analysis while also giving all the CAGR projections for the historic year 2016 base year 2017 and forecast period of 2020-2027. By using proven tools and techniques, Robotic Process Automation Market research report has been generated which provides creative ideas to make product more effective and impressive in the competitive market.

Complete study compiled with over 100+ pages, list of tables & figures, profiling 10+ companies. Ask for[emailprotected]https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-robotic-process-automation-market&skp

Global Robotic Process Automation Market Is Set To Witness A Healthy Cagr Of 29.30% In The Forecast Period Of 2019 To 2026. The Report Contains Data Of The Base Year 2018 And Historic Year 2017. This Rise In The Market Can Be Attributed Due To Rising Popularity And Attractiveness Of Enterprise Resource Planning Which Is Driving The Needs Of The Business To Move Towards The Automations. Robotic Process Automation Provides Good Accuracy, Improved Cycle Time And Increased Productivity In Transaction And Data Processing Which Drives The Market.

Key Market Competitor:

Few Of The Major Competitors Currently Working In The Global Robotic Process Automation Market Are Sutherland Bulgaria, Automation Anywhere Inc., Blue Prism, Pegasystems Inc., Celaton, Uipath, Verint, Redwood Technology B.V., Ibm Corporation, Nice Systems Ltd., Thoughtonomy, Kofax Inc., Jacada Inc., Kryon Systems, Openconnect Systems Incorporated, Cicero Inc., Atos Se, Daythree Business Services Sdn Bhd, Ipsoft Inc., Softomotive Among Others.

Note The Covid-19 (coronavirus) pandemic is impacting society and the overall economy across the world. The impact of this pandemic is growing day by day as well as affecting the supply chain. The COVID-19 crisis is creating uncertainty in the stock market, massive slowing of supply chain, falling business confidence, and increasing panic among the customer segments. The overall effect of the pandemic is impacting the production process of several industries. This report on Robotic Process Automation Market provides the analysis on impact on Covid-19 on various business segments and country markets. The reports also showcase market trends and forecast, factoring the impact of COVID -19 Situation.

The report is prepared on the basis of detailed assessment of the industry by experts. To conclude, stakeholders, investors, product managers, marketing executives, and other experts in search of factual data on supply, demand, and future predictions would find the report valuable.

Major Regions as Follows:

Key Questions Answered in Robotic Process Automation Market Report:

How Does This Robotic Process Automation Market Insights Help?

Key Pointers Covered in the Robotic Process Automation Market:

Click to View Free Full Report TOC, figure and tables:https://www.databridgemarketresearch.com/toc/?dbmr=global-robotic-process-automation-market&skp

In conclusion, the Robotic Process Automation Market report is a reliable source for accessing the research data that is projected to exponentially accelerate your business. The report provides information such as economic scenarios, benefits, limits, trends, market growth rates, and figures. SWOT analysis is also incorporated in the report along with speculation attainability investigation and venture return investigation.

Data Bridge Market Research also provides customization options to tailor the reports as per client requirements. This report can be personalized to cater to your research needs. Feel free to get in touch with our sales team, who will ensure that you get a report as per your needs.

(**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.)

Click here to avail customization of Report Customization of the Report:https://www.databridgemarketresearch.com/speak-to-analyst/?dbmr=global-robotic-process-automation-market&skp

Thanks for reading this article you can also get individual chapter wise section or region wise report version like North America, Europe, MEA or Asia Pacific.

About Data Bridge Market Research:

An absolute way to forecast what future holds is to comprehend the trend today!

Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavours to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process. Data Bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune.

Data Bridge Market Research

US: +1 888 387 2818

UK: +44 208 089 1725

Hong Kong: +852 8192 7475

[emailprotected]

More:

Robotic Process Automation Market Size, Trends, Analysis, Demand, Outlook And Forecast 2026 Sutherland Bulgaria, Automation Anywhere Inc., Blue Prism...

LONDON--(BUSINESS WIRE)--AI-backed intelligent automation solutions have gained immense popularity over the last few decades. Enterprises are now investing heavily in intelligent automation solutions since it promises a hugely transformative potential in the near future. It is also proven that this technology is poised to usher in the fourth industrial revolution by disrupting and creating new business models. Though it was restricted to manufacturing initially, it now promises enormous untapped potential in the healthcare and life sciences industry too. But to maximize the impact of automation and advanced analytics, business leaders must inculcate the ability to build a clearly defined strategy for automating their enterprises. Quantzig recently conducted a detailed analysis of use cases for intelligent automation in the healthcare and life sciences sector, which helped them understand its impact and ability to drive transformational change.

In the current business setting, it is crucial to adopt new technologies to enhance growth and efficiency. Request a FREE proposal to learn how we have been helping clients from the healthcare and life sciences sector maneuver the complexities involved in intelligent automation.

Quantzig, a leader in delivering scalable analytics solutions and data science services, recently conducted a c-suite survey that helped them gain comprehensive insights into the applications of intelligent automation in life sciences and healthcare industries. The insights obtained helped them understand that leveraging advanced capabilities like NLP and Intelligent Optical Character Recognition within a solution based on intelligent automation can help life sciences and healthcare companies save resources and time spent in performing redundant tasks like health claims processing, test result entries, and other admin operations. The survey also revealed that a mere 45 percent of companies were acquainted with these technologies while the rest were unaware of its wide-spread benefits.

With over 15+ years of expertise in the field of analytics, Quantzig is at the forefront of enabling business innovation to facilitate better outcomes and business reach. Contact us to learn more about our capabilities.

Rapid advances in technology pose a new challenge for healthcare and life sciences companies

From the beginning healthcare and life sciences industry has had a great partnership with advanced technologies to work around some of the common yet the biggest challenges of the modern healthcare delivery system. Optimizing the supply chain, managing massive volumes of patient-related data, enhancing patient experience, ensuring data security, managing system integration, communication, and data sharing are a few of them.

Book a FREE Demo to learn more about our proprietary analytics platforms and analytics capabilities that can help you build and implement intelligent automation systems.

While intelligent automation has the potential to create tremendous value for both healthcare and life sciences companies, such a transformation will require organizations to implement a focused digital strategy backed by technology adoption. It will also need investment and commitment to revisit and revamp processes, infrastructure, and systems. All the enablers required for a successful transformation will have to come into play for the industry to harness the true potential of intelligent automation, making it a challenging task for those unprepared.

Intelligent automation in healthcare can help address all healthcare challenges

While digital transformation has transformed industries globally, it is the exponential power of people and machines that is changing healthcare. Intelligent automation in healthcare is enabling organizations to offer seamless services through personalization. Notably, the use of these applications in the future will redefine the healthcare and life sciences landscape, bringing in several transformations.

Quantzigs team of 550+ seasoned analytics experts and data science professionals have the expertise and skill it takes to design and build systems tailored to the needs of your business and equip you with data-driven, actionable insights for prudent decision-making. Follow us on LinkedIn and Twitter to keep abreast of the emerging trends in intelligent automation.

About Quantzig

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit: https://www.quantzig.com/request-for-proposal

Read more:

Quantzig: Intelligent Automation Can Prove Resourceful for the Healthcare and Life Sciences Sector | Contact Us for Detailed Insights - Business Wire

The Enterprise Workflow Automation Software market report 2020-2026 provides in-depth study of market competitive situation, product scope, market overview, opportunities, driving force and market risks. Profile the Top Key Players of Enterprise Workflow Automation Software, with sales, revenue and global market share of Enterprise Workflow Automation Software are analyzed emphatically by landscape contrast and speak to info. Upstream raw materials and instrumentation and downstream demand analysis is additionally administrated. The Enterprise Workflow Automation Software market business development trends and selling channels square measure analyzed. From a global perspective, It also represents overall industry size by analyzing qualitative insights and historical data.

Key players operating in the global Enterprise Workflow Automation Software market includes : IBM, Salesforce, ZOHO, bpmonline, KiSSFLOW, Nintex, Zapier, Serena Business Manager, ProcessMaker, ProWorkflow, dapulse, Comindware Tracker, TRACKVIA, CANEA Workflow, Process Street, Flokzu, Cflow, Intellimas, and among others.

Get Free Sample PDF (including COVID19 Impact Analysis, full TOC, Tables and Figures) of Enterprise Workflow Automation Software Market @https://www.researchmoz.us/enquiry.php?type=S&repid2029519

Key Target Audience of the Enterprise Workflow Automation Software market:

Scope of Enterprise Workflow Automation Software Market:

The global Enterprise Workflow Automation Software market is valued at million US$ in 2019 and will reach million US$ by the end of 2026, growing at a CAGR of during 2020-2026. The objectives of this study are to define, segment, and project the size of the Enterprise Workflow Automation Software market based on company, product type, application and key regions.

On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Enterprise Workflow Automation Software market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Enterprise Workflow Automation Software market.

The report offers an exhaustive geographical analysis of the global Enterprise Workflow Automation Software market, covering important regions, viz, North America, Europe, China, Japan, Southeast Asia, India and Central & South America. It also covers key countries (regions), viz, U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc.

The end users/applications and product categories analysis:

On the basis on the end users/applications,this report focuses on the status and outlook for major applications/end users, sales volume, market share and growth rate foreach application.

On the basis of product,this report displays the sales volume, revenue (Million USD), product price, market share and growth rate ofeach type.

Do You Have Any Query Or Specific Requirement? Ask to Our Industry [emailprotected]https://www.researchmoz.us/enquiry.php?type=E&repid2029519

Enterprise Workflow Automation Software Market The Regional analysis covers:

Key Findings & Data Available in Enterprise Workflow Automation Software Market Report:

And Many More.

Get Discount on Enterprise Workflow Automation Software Market Report :https://www.researchmoz.us/enquiry.php?type=D&repid2029519

Contact Us:

ResearchMozMr. Rohit Bhisey,Tel: +1-518-621-2074USA-Canada Toll Free: 866-997-4948Email: [emailprotected]Follow us on LinkedIn @ http://bit.ly/2RtaFUo

Follow me on : https://marketnews-24.blogspot.com/

See original here:

Enterprise Workflow Automation Software Market Forecasts 2020-2026 : Growth Analysis By Key Drivers, Regions, Sorts and Applications - Scientect

Jifflenow, the worlds #1meeting automation platform(MAP), has completed an integration with theON24 Platform, which helps marketers create and deliver live or on-demand webinar and virtual event experiences. Together, these two mission-critical business services enable enterprises to drive revenue growth by increasing the number of crucial B2B virtual meetings with prospects and customers associated with virtual events and webinars.

With marketing transitioned from venue to virtual, every day, millions of attendees use virtual event software to interact and conduct business. Jifflenows integration with ON24 makes it much easier for attendees of an ON24 virtual event or webinar to request follow-up meetings, demos, or meet the expert experiences from within the ON24 experience. The Jifflenow platform syncs registration data from ON24 and automates the scheduling of follow-on meetings so that digital marketers and event planners can drive positive sales outcomes.

There is a point during the buyer journey where you need to make it really easy for customers to engage with you, rather than only relying on outbound sales calls, said Hari Shetty, CEO of Jifflenow. Our integration with ON24 means that marketers who use the ON24 platform for their webinars and virtual events can offer attendees an easy way to schedule a wide variety of virtual customer engagements before, during, and after any virtual event.

Jifflenow boosts the ROI of virtual events

Since webinars and virtual events have become an important element of the marketing mix, digital marketers want to make it easy for attendees to schedule follow-up meetings with subject-matter experts or product leads. Indeed, a fast-growing number of enterprises have pivoted from in-person events to launch over 100 virtual corporate and user conferences, each leveragingJifflenows automation capabilitiesto power the high-impact customer engagements that are a crucial element of every B2B sales process.

B2B virtual meetingswith customers, partners, and prospects result in sales growth and stronger partnerships and advance the revenue pipeline. Most enterprises strive to generate hundreds or even thousands of customer meetings from their events program, representing a gigantic scheduling challenge for any customer events team.Jifflenow automates this complex processand provides valuable context for meeting attendees such as information about the customer, the opportunity, the purpose of the meeting, and key objectives.

Savvy marketers are using customer meetings to drive more attendee engagement from their investment in virtual events and to extend their relevance and reach, added Shetty. Ultimately, its about getting more ROI from your marketing spend.

For more such Updates follow us on Google News Martech News

Read the original here:

#1 Meeting Automation Platform Jifflenow Integrates with ON24 - Martechcube

Future Market Insights recently publishedautomated sortation system marketreport concludes that the market shall surpassUS$ 14 Bnby 2030.

As industrial operations become increasingly sophisticated, manufacturers are seeking to uplift their production capacities by incorporating automated sortation systems to up-scale warehousing and logistics by improving picking and sorting. Automated sortation systems helping garner faster returns on investments are steadily gaining traction.

Faster speeds provided by automated sortation systems are enabling manufacturers to offset costs and achieve higher delivery thresholds. Besides, these help in acquiring greater control of the order picking system, reduce energy consumption and reduce lead time from start to finish operations.

All these benefits are pointing the market in an upward growth direction across the forecast period.

Production units are adopting automated sortation systems to avail cent percent in operations, increasing their reliability index by effecting timely deliveries and acquiring a competitive edge, concludes an FMI analyst.

Download a Sample Report with Table of Contents and Figures:https://www.futuremarketinsights.com/reports/sample/rep-gb-11931

Key Takeaways from FMIs Automated Sortation System Report

Automated Sortation System Market- Key Trends

Automated Sortation System Market- Region-wise Analysis

Automated Sortation System Market- Competitive Landscape

Prominent players in the automated sortation system market include Daifuku Co Ltd, Equinox, OKURA YUSOKI, Siemens AG, Interrol and Mitsubishi Electric Corporation to name a few. These players have extensively collaborated with e-commerce giants such as Amazon and Walmart to deepen their penetration across different geographies.

Additionally, these players focus on launching new products to avail a footing in this highly competitive market. An example of this is Mitsubishi Electric Corporation, which manufactures the CC-link compatible FR-A700 inverters which has many auto-tuning capabilities. Likewise, Siemens AG provides the SIMANTIC PCS web-based process control system which provides web-based efficiency for sorting operations.

Our advisory services are aimed at helping you with specific, customized insights that are relevant to your specific challenges. Let us know about your challenges and our trusted advisors will connect with you:https://www.futuremarketinsights.com/askus/rep-gb-11931

Automated Sortation System Market Taxonomy

Equipment Type

Component Type

System Type

Sorting Type

End Use

Load Capacity

Throughput Capacity

Region/Country

North America

Latin America

Europe

South Asia

Oceania

East Asia

MEA

Buy[emailprotected]https://www.futuremarketinsights.com/checkout/11931

To Know More About Automated Sortation System Market:

A new market research report published by Future Market Insights (FMI) on the global automated sortation system market report provides in-depth insights into the market demand trends and assessment of opportunities during the forecast period. The report analyses the automated sortation system market through four different segments- equipment type, component type, system type, sorting type, end-use, load capacity, throughput capacity and region. The automated sortation system report also offers detailed analysis of pricing analysis by different product type and demand across end-use industries.

Explore Extensive Coverage of FMIs Industrial Automation & Equipment Landscape

Synchronous Condensers Market: FMIs study on the synchronous condensers market provides readers with valuable insights on the prominent dynamics impacting the growth trajectory across the 2019-2029 forecast period.

Industrial Battery Charger Market: The uptake of digitization and utilities as alternate energy sources have proven instrumental in catapulting the industrial battery charger market to new heights, infers FMI in its published report on the subject.

Tool Holders Market: FMIs tool holders market report analyzes the markets future growth prospects based on taper type, tool holders type, machine type and end-use across eight prominent geographies.

About Future Market Insights (FMI)

Future Market Insights (FMI) is a leading provider of market intelligence and consulting services, serving clients in over 150 countries.FMIisheadquartered inLondon, the global financial capital, and has delivery centers in the U.S. andIndia. FMIs latestmarket research reportsandindustry analysis help businesses navigate challenges and take critical decisions with confidence and clarity amidst breakneck competition. Our customized and syndicated market research reports deliver actionable insights that drive sustainable growth. A team of expert-led analysts at FMI continuously track emerging trends and events in a broad range of industries to ensure that our clients prepare for the evolving needs of their consumers.

ContactMr. Abhishek BudholiyaUnit No: AU-01-H Gold Tower (AU), Plot No: JLT-PH1-I3A,Jumeirah Lakes Towers,Dubai,United Arab EmiratesMARKET ACCESS DMCC InitiativeFor Sales Enquiries:[emailprotected]For Media Enquiries:[emailprotected]Report:https://www.futuremarketinsights.com/reports/automated-sortation-system-marketPress Release Source:https://www.futuremarketinsights.com/press-release/automated-sortation-system-market

Read more from the original source:

Automated Sortation System Market Surges on the Back of Enhanced Efficiency in Production Units, Future Market Insights - Scientect

BioCatch has released the BioCatch Case Manager, a new tool that aims to help fraud and security operations teams facilitate and automate incident response.

Via this tool, customers are enabled to facilitate the efficiency of how they manage fraud cases and alerts marked as high-risk and automate responses based on business and risk policies. The BioCatch Case Manager allows fraud and security teams to analyse potential fraud cases based on factors such as risk score, threat and behavioural indicators, device, and location. The tool helps manage fraud case queues with clear owners and comes with out-of-the-box integration with the BioCatch Policy Manager and Truth Marketing interfaces. As a result, fraud analysts can investigate high-risk activities and provide feedback as to whether sessions appear genuine or fraudulent, reducing operational cost.

In addition, through its tight workflow integration, security professionals can use the BioCatch Case Manager to leverage tools that simplify investigation and drive faster resolution. The application also provides visibility into an IT security teams activities and workload.

Read the rest here:

BioCatch reveals a tool that helps fraud teams provide security automation - The Paypers

NUBE says some banks are suggesting that clerical staff will be replaced by automation. (Bernama pic)

PORT DICKSON: The National Union of Bank Employees (NUBE) today urged banks not to spread fear among non-executive employees that their roles will be made redundant by digitalisation in the sector.

J Solomon, general secretary of NUBE, said at a delegates conference today that several banks have been telling our members that their jobs will be abolished and they risk losing their jobs when their work is automated or digitalised.

For example, he said, some banks were suggesting that there would be no need for clerical staff once several aspects of their jobs are replaced by automation.

Adding that NUBEs research had refuted these suggestions, he said these banks should stop spreading such fears and instead emulate others which have provided employees with the necessary upskilling to ensure that they remain relevant.

He also said that union members do not oppose digitalisation but want to be given the necessary training and upskilling.

Bank Negara Malaysia (BNM) was singled out for what NUBE called a continued refusal of its requests to explain the public policies in place to protect their members.

By refusing to address the concerns of our members, BNM may be directly encouraging banks to sideline the welfare of workers in their pursuit of digitalisation, Solomon said.

He added that NUBE would be forced to take industrial action if banks continued to disregard the livelihood of workers, especially NUBEs B40 and M40 members.

He attributed these problems to the failure of the government as a whole, and asked that Putrajaya listen to their concerns and prioritise the needs of the people over power struggles.

We have seen now and also during the reign of past governments that the leaders do not seem to understand what we are going through, Solomon said.

We need our voices to be heard by the government and Parliament or we are doomed.

Read more here:

Don't spread fears over automation, union tells banks - Free Malaysia Today

The "Irrigation Automation - Global Market Outlook (2018-2027)" report has been added to ResearchAndMarkets.com's offering.

The Global Irrigation Automation market accounted for $1.97 billion in 2018 and is expected to reach $10.55 billion by 2027 growing at a CAGR of 20.5% during the forecast period. Some of the key factors propelling the market growth are need for water conservation and increased mechanization in agriculture. However, lack of technical knowledge is the restraining factor for the growth of the market.

Irrigation automation is the use of advanced devices to operate irrigation structures more efficiently thereby providing benefits to farmers. It is being widely adopted owing to its advantages.

By irrigation type, the drip irrigation segment is expected to grow at a significant market share during the forecast period as it is widely adopted because of its higher efficiency. On the basis of geography, Asia Pacific is anticipated to hold considerable market share during the forecast period due to the increased awareness among farmers and the supportive government initiatives.

Some of the key players in Irrigation Automation Market include Valmont Industries Inc, Nelson Irrigation, The Toro Company, Ranch Systems, Hydropoint Data Systems, Rain Bird, Lindsay Corporation, Calsense, Jain Irrigation Systems, Hunter Industries, Netafim, Weathermatic, Rubicon Water, Galcon, and Growlink.

What the report offers:

Key Topics Covered:

1 Executive Summary

2 Preface

3 Market Trend Analysis

3.1 Introduction

3.2 Drivers

3.3 Restraints

3.4 Opportunities

3.5 Threats

3.6 Application Analysis

3.7 End User Analysis

3.8 Emerging Markets

3.9 Impact of Covid-19

4 Porters Five Force Analysis

4.1 Bargaining power of suppliers

4.2 Bargaining power of buyers

4.3 Threat of substitutes

4.4 Threat of new entrants

4.5 Competitive rivalry

5 Global Irrigation Automation Market, By Irrigation Type

5.1 Introduction

5.2 Surface Irrigation

5.3 Drip Irrigation

5.4 Sprinkler Irrigation

6 Global Irrigation Automation Market, By Component

6.1 Introduction

6.2 Sensors

6.2.1 Soil-based

6.2.2 Weather-based

6.2.3 Fertigation Sensors

6.3 Controllers

6.4 Valves

6.5 Sprinklers

6.6 Other Components

6.6.1 Pressure Gauge

6.6.2 Monitoring Devices

6.6.3 Flow Meters

7 Global Irrigation Automation Market, By System

7.1 Introduction

7.2 Semi Automatic

7.3 Automatic

8 Global Irrigation Automation Market, By Automation Type

8.1 Introduction

8.2 Computer-based Control System

8.3 Real-time Based

8.4 Volume-based

8.5 Time-based

9 Global Irrigation Automation Market, By Application

9.1 Introduction

9.2 Flower Ornamental Garden

9.3 Agricultural Planting Base

10 Global Irrigation Automation Market, By End User

10.1 Introduction

10.2 Agricultural

10.2.1 Greenhouses

10.2.2 Open Fields

10.3 Non-agricultural

10.3.1 Lawns

10.3.2 Golf Courses

10.3.3 Sports Grounds

11 Global Irrigation Automation Market, By Geography

11.1 Introduction

11.2 North America

11.3 Europe

11.4 Asia Pacific

11.5 South America

11.6 Middle East & Africa

12 Key Developments

12.1 Agreements, Partnerships, Collaborations and Joint Ventures

12.2 Acquisitions & Mergers

12.3 New Product Launch

12.4 Expansions

12.5 Other Key Strategies

13 Company Profiling

13.1 Valmont Industries Inc

13.2 Nelson Irrigation

13.3 The Toro Company

13.4 Ranch Systems

13.5 Hydropoint Data Systems

13.6 Rain Bird

13.7 Lindsay Corporation

13.8 Calsense

13.9 Jain Irrigation Systems

13.10 Hunter Industries

13.11 Netafim

13.12 Weathermatic

13.13 Rubicon Water

13.14 Galcon

13.15 Growlink

For more information about this report visit https://www.researchandmarkets.com/r/bwv8gu

About ResearchAndMarkets.com

ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

View source version on businesswire.com: https://www.businesswire.com/news/home/20200810005337/en/

Contacts

Visit link:

Global Irrigation Automation Market Outlook to 2027 - Water Conservation and Increased Mechanization in Agriculture are Driving Market Growth -...