Monthly Archives: January 2020

The nations largest owner of radio stations has announced a massive shift in technology with the aim of modernizing the company.

IHeartMedia, formerly known as ClearChannel, has announced a major restructuring plan that will include larger investments in technology, automation and more centralized workflow for its various markets. The company owns five radio stations in our region: FM stations Bob 94.9, River 97.3 and Alt 99.3, and AM stations WHP 580 and Fox Sports 1460.

In a press release, the company announced that the new structure will enable the company to maximize the performance of each of its markets and the company overall -- with its unique scale and multiple platforms, adding that the changes will enhance iHeartMedias position as the number one audio company in America, continue its successful transformation as a technology- and data-powered 21st century media company, and accelerate the development of new platforms and services.

However, AllAccess.com reports that the company released an internal memo that also shared that the changes would result in employee dislocation, which would include layoffs, "some by geography and some by function -- which is the unfortunate price we pay to modernize the company.

Requests for comment from the IHeartMedia stations in our area were directed to Jeff Hurley, IHeartMedias senior vice president of programming for the Allentown-Harrisburg region. A statement from IHeartMedia made no specific mentions of changes or layoffs coming to any of the stations in the region, but that the loss of any job is significant.

Here is the full statement released from IHeartMedia:

"We are modernizing our company to take advantage of the significant investments we have made in new technology and aligning our operating structure to match the technology-powered businesses we are now in. This is another step in the companys successful transformation as a multiple platform 21st century media company, and we believe it is essential to our future it continues our momentum and adds to our competitiveness, our effectiveness and our efficiency with all our major constituencies.

During a transition like this its reasonable to expect that there will be some shifts in jobs some by location and some by function but the number is relatively small given our overall employee base of 12,500. That said, we recognize that the loss of any job is significant; we take that responsibility seriously and have been thoughtful in the process."

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IHeartMedia will save money but lose jobs with automation: These Pa. radio stations may be affected - PennLive

MarketandResearch.biz has published innovative data, titled Global Marketing Automation Software Market Growth (Status and Outlook) 2019-2024 which offers an in-depth assessment of the global market with an excellent presentation. The report helps market participants to gain strong insights into the industry and make a valuable decision by highlighting important aspects of the global Marketing Automation Software market. The study highlights the assessment of the market by giving a lot of focus on futuristic trends, growth drivers, expert opinions, historical data related to market sizing, facts, and industry-certified data. The report estimates market volume, revenue, consumption, market share, production, price, and gross margins.

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Global Marketing Automation Software Market: Industry Trends and Developments 2019-2024 Dagoretti News - Dagoretti News

Python is the most common language for network automation, but it can't do the job easily all by itself. Fortunately, several motivated individuals have created libraries that handle a lot of the details of network automation with Python. These automation libraries enable users to more easily build automation systems.

Users starting with automation should first gain a basic understanding of the Python scripting language and data structures, such as lists, tuples, dictionaries and sets. They'll also want to learn the basics of the Jinja2 templating language and YAML (YAML Ain't Markup Language). Users get a powerful automation framework when they combine Python scripting, Jinja2 for templating, YAML for data representation and the automation libraries below.

Network automation with Python and automation libraries can enable simplified communication with network devices. In this article, we take a look at three network automation libraries: Paramiko, Netmiko and NAPALM, or Network Automation Programmability Abstraction Layer with Multivendor support. Each library builds on its predecessor to provide greater layers of abstraction that enable users to build more efficient automation systems.

Paramiko is a low-level Secure Shell (SSH) client library. We can use it to programmatically control connecting to a network device's command-line interface (CLI) over a secure SSH connection. With the library, users send commands a person would normally type and parse the results of each command's execution, also known as screen scraping.

The Python script below uses the Paramiko library to query a Cisco Catalyst 3560 router for its Address Resolution Protocol (ARP) table. It is the first step of a script to identify the switch port where a device is connected.

Lines one to five import the additional libraries we need and define the IP address of the router we're going to query. Lines seven to 14 create an SSH connection to the router and login using the name tester with the password foobar. A command is sent to disable output pagination. Lines 16 to 18 send the show arp command, and line 21 reads the command result and prints it. The connection is closed when the script ends.

Here is the result:

Paramiko provides a low-level SSH interface to network devices. Many parameters that vary according to device model are encoded in the script, including changes in command syntax for different OSes. In addition, we would have to handle all the details of gathering data, making configuration changes and verifying those changes. To make a configuration change, we would need to manage each step of the process -- enabling access, entering config mode, sending the changes and saving the changes. Fortunately, other frameworks, like Netmiko, do a lot of this work for us.

The Netmiko library helps users hide many details of common device communications functions. It uses Paramiko for the low-level SSH connectivity, but it provides greater abstraction of the communication with a variety of network device models. Netmiko supports a wide range of devices, and the Netmiko script is much shorter than the Paramiko script, as seen below.

Lines one to four import the necessary modules, and lines five to 10 then create a Python dictionary that contains the connection parameters for this device. When working with many devices, users will need additional code to iterate over the devices, which they can easily do with a list of dictionaries. The device connection is one line, and another line sends the command and prints the output.

The Netmiko output is shorter as well, having stripped the device prompts from around the command output:

Netmiko used the device_type definition to properly handle communications with the device, and we didn't have to do any of the device-specific work. While Netmiko enables users to issue device commands and get the responses, it doesn't automate configuration management. That's where we use NAPALM.

NAPALM is built on top of Netmiko and provides a mechanism for interacting with device configurations. It supports a smaller set of devices than Netmiko: Arista, Juniper and Cisco (IOS, IOS XR, NX-OS and NX-OS SSH). It also supports a large set of getter functions that retrieve basic device data. The following script uses the get_arp_table() function:

The setup with NAPALM is longer than with Netmiko because it needs more libraries and the login parameters must be specified differently, as in lines two to 13. The connection is established in lines 15 to 17. Finally, the ARP table information is retrieved.

NAPALM returns it in Python dictionary format, so we use a library function to prettyprint it:

The dictionary output can be used directly within Python. The other libraries provide the CLI textual output, which would have to be converted to a Python data structure to be useful for other purposes.

The real power of NAPALM is in its ability to work with configurations, including the following:

Several online courses and videos cover network automation with Python and automation frameworks. Nick Russo's courses are a good starting point. Ivan Pepelnjak also explores other technologies in his more advanced "Building Network Automations Solutions" and "Ansible for Networking Engineers" (with David Barroso) courses.

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Network automation with Python, Paramiko, Netmiko and NAPALM - TechTarget

The US based tech Google has introduced a new "Google IT Automation with Python Professional Certificate" a program which is designed to provide job-ready skills in Python, Git and IT automation in under six months.

"Python is now the most in-demand programming language, and more than 530,000 USjobs, including 75,000 entry-level jobs require Python proficiency. With this new certificate, you can learn Python, Git and IT automation within six months," Natalie Van Kleef Conley Product Lead, Grow with Google, said in a statement on Thursday.

The program includes a final project where learners will use their new skills to solve a problem they might encounter on the job, like building a web service using automation.

"To ensure learners from underserved backgrounds have access to both IT Professional Certificates, Google.org will fund 2,500 need-based scholarships through nonprofits like Goodwill, Merit America, Per Scholas and Upwardly Global. Along with top employers like Walmart, Hulu and Sprint, Google considers program completers when hiring for IT roles," Conley added.

Back in October last year, Google CEO Sundar Pichai and White House advisor Ivanka Trump announced a program to provide 250,000 Americans training opportunities to teach technology skills.

At the time, Pichai also mentioned that Google's program for certifying IT professionals will expand to 100 US community colleges by the end of 2020.

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Google's New Online Coding Course to Train in Python, Git, and IT Automation - NDTV

Blue Prisms Award-Winning Robotic Process Automation (RPA) Software Available in New Flexible Consumption Models

Building on a foundation of enabling greater choice, security and scalability, Blue Prismannounced the availability of three new Software-as-a-Service (SaaS) solutions that augment its Digital Workforce powered by the companys connected-RPA Platform. These new SaaS solutions leverage IP acquired with Thoughtonomy (now branded Blue Prism Cloud) and allow enterprises to access the industrys most advanced intelligent automation capabilities. Blue Prism now gives customers access to end-to-end automation solutions that cover all IT environments on-premise, cloud, hybrid and SaaS an industry first.

Our SaaS customers have long enjoyed the benefit of AI technologies that increase utilization while simplifying management of an intelligent digital workforce, in addition to facilitating closer collaboration between human and digital workers, says Terry Walby, CEO of Blue Prism Cloud. Now, weve opened up these capabilities to our entire community of Blue Prism users so that they can accelerate their digital transformation whether they are running automation environments on-premise or from the cloud.

Read More: AiThority Interview with Rajeev Gollarahalli, Chief Business Officer at 42Q

The new SaaS offeringsunderpin Blue Prisms connected-RPA strategy to provide a Digital Workforce for every Enterprise built with the industrys most comprehensive portfolio of automation solutions. In line with this strategy, these latest capabilities are being made available directly from Blue Prisms Digital Exchange (DX) and through partners. Each one addresses key needs for enterprises looking to maximize value from their investment:

Read More: TCS Recognized as a Leader in Cloud Services by Everest Group

This is the update the industry has been waiting for, according to Elena Christopher, Senior Vice President at HFS Research. Blue Prism has essentially taken some of the strongest elements of its Thoughtonomy acquisition and rebranded and packaged as new fully integrated offerings available on the DX. These offerings are in strong alignment with HFS latest research with 260 power users of RPA; better dashboards and analytics and enhanced AI capabilities topped this list as the most pervasive customer needs. The support for attended and human in the loop automation is also of note given Blue Prisms strength in unattended. Well stay tuned for results.

Read More: How Artificial Intelligence and Blockchain is Revolutionizing Mobile Industry in 2020?

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New Blue Prism SaaS Offerings Add to Industry's Most Comprehensive Portfolio of Automation Solutions - AiThority

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Research firm RBRs new study has revealed that the number of automated deposit terminals (ADTs) installed worldwide have increased by 4% and have reached 1.4 million in 2018. Deposit ATMs, according to banks, are expected to become a tool for enabling customers to migrate transactions from the teller and save costs.

Sam Blackwell, who led RBRs Deposit Automation and Recycling 2019 research, commented, Although the technology has been available for decades, the number of deposit ATMs installed worldwide continues to demonstrate healthy growth. Banks are now expected to pivot further towards recycling as the ratio of withdrawals to deposits narrows and CIT costs grow, presenting increased opportunities for cost savings.

The study also revealed that automated deposits grew by 10% in the core markets covered with the exception of China, where the increase in mobile payments adoption has stifled cash usage. Majority of the markets are expected to show an increase by 14% by 2024 to over 1.6 million. It stated that 52% of the ATMs around the world will be accepting automated deposits by 2024. USA is expected to see an addition of 40,000 ADTs in the next five years along with an extra 34,000 ADTs by 2024 for Brazil and India.

RBRs research has stated that cash-recycling technology will become a viable option for banks worldwide as its usage helps in the reduction of CIT costs. Two-thirds of the deposit terminals are expected to begin recycling of notes by 2024. Banks are currently investing in machines for allowing them the flexibility of switching on the recycling function at a later date when the business case is established.

Recently, an RBR analyst at the Branch Transformation conference in London stated that branches play a critical role in customer recruitment and retention, despite record adoption of digital channels.

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RBR's study reveals increasing adoption of automated deposit terminals - IBS Intelligence

Firms are now seeking to scale their operations with intelligent automation solutions, fast embracing digitalization.

AIoT Helps Companies Garner the Real Value of IoT Data

As per a survey conducted by Deloitte, intelligent automation strategies are largely all about reimagining industry operations to transform workforces. The study confirmed that organizations are not only embracing robotic process automation (RPA) but are also increasingly deploying intelligent automation.

58% of respondents confirmed to have started their automation journey. Out of these, 38% are piloting (1-10 automation solutions), 12% are implementing (11-50 automation), and 80% are automating at scale with 51+ automation projects which is twice as many as in 2018.

Organizations believe that they can transform their business processes, achieving higher accuracy and speed by automating decisions based on structured and unstructured inputs. Firms expect an average payback period of 15 months, with just nine months in the scaling phase. But, they face many challenges that constrain their embracing intelligent automation. Process fragmentation is the biggest challenge, say 36% of the respondents. It is followed by IT readiness as the second most common barrier, said 17% of the organizations surveyed.

The survey also confirmed that the organizations adopting intelligent automation at scale need to have a few basic attributes in place:

Industries Fight Automation Hypochondria in the Tech Industrial Age

Adoption of AI is necessary to implement intelligent automation in the company successfully. However, 48% of survey respondents admit to neither implementing nor thinking about an intelligent automation strategy includes AI. 36% confirmed including AI in their strategy but not at scale. Only 11% of organizations are currently scaling solutions that incorporate AI.

AI increases the productive capacity of humans. Over 90% of organizations expect intelligent automation to increase their workforce capacity. About a 26% increase in the back-office size is expected over the next three years with a 17% increase in the size of core business operations. Despite all the advantages of intelligent automation, 44% of organizations have not yet calculated how their workforces tasks and roles will change or will be simplified post intelligent automation.

Another critical factor is the retraining of the workforce for the new automation technologies. Almost two-thirds of organizations have not yet considered what proportion of their workforce needs to retrain as a result of automation. About 53% of companies scaling up for automation have stated that they have not yet explored the need to reskill their workforce to make them compliant with the automation strategies. It is a shocking revelation that 38% of organizations are not even retraining employees who have witnessed a role change due to automation.

There is a widespread concern that automation may eliminate jobs. But 74% of the survey respondents believe their workforce is supportive of their intelligent automation strategy. 23% of executives whose organizations are at the pilot stage face a lack of support from employees, compared to just 12% in organizations that are implementing or scaling.

Workforce Analytics in the Agile Age

2020 seems to be an extremely promising year for the breakout of intelligent automation. Firms have targeted low-value opportunities for automating tasks and will increasingly continue to seek more advanced AI technologies as part of their solutions.

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Rebirth of Industries in the Era of Intelligent Automation - EnterpriseTalk

Ryan Falkenberg is the co-Chief Executive of CLEVVA. Photo: Supplied

DURBAN Automation, traditionally linked with fears of job losses, looks set to make life easier for humans across the globe in 2020.

From freeing up workers inside organisations to providing excellent customer experiences, the robots are here, and theyre helping make business better.

1. Automation is taking off: Robotic process automation (RPA) software revenue grew 63.1 percent in 2018 to $846 million, making it the fastest-growing segment of the global enterprise software market, according to Gartner, Inc. Gartner expected RPA software revenue to reach $1.3 billion in 2019. Forrester is predicting the RPA market will grow to $2.9 billion in 2021. This means well be seeing more and more companies implementing RPA, resulting in staff and customers engaging with digital workers more frequently, whether we realise it or not.

2. Automation efforts will continue to focus on the back office: The biggest adopters of RPA so far, Gartner says, are banks, insurance companies, telcos and utility companies - all of which are facing increasing pressure from disruptor competitors, and looking to gain a competitive edge from their technology investments. Given their legacy environments, RPA offers them an effective way to quickly realise efficiency gains without major restructuring.

3. The need for end-to-end automation will shift the focus to the front office: As mentioned, RPA excels in system-driven process automation, which makes it good for lots of things, but not everything. 2020 will see companies getting the best out of RPA by combining it with technologies that can automate front office logic. This logic, contained in knowledge bases and staff brains, is increasingly being handled by specialist front-office digital workers. These digital workers ensure all the right questions get asked, answers get given and information gets collected in context, across staff-assisted and digital channels. They then work directly with their RPA digital co-workers to ensure the resulting back-office processing is performed flawlessly, repetitively, and tirelessly. This combination of front-office and back-office digital workers is forming a dream team that is allowing companies to achieve true end-to-end automation in a consistent, compliant and context-relevant way, at scale.

4. Automation will accelerate change in the job market: The greater adoption of automation in 2020 will accelerate the reshaping of the current job landscape. The World Economic Forums 2018 Future of Jobs report highlighted that while 50 percent of the companies surveyed said they expect automation to reduce their full-time workforce to some extent by 2022, 38% said they expect to extend their workforce to productivity-enhancing roles and many expect automation to lead to new roles being created. What these new roles will look like will most likely become a lot clearer over the next few years. What is clear is that automation can unlock human potential by removing the need for people to perform robotic, repetitive jobs that currently dehumanise them. It allows people to think more, dream more and communicate more. They can specialise in the optimisation of the customer experience rather than the replication of the company formula. Schools, colleges and universities that continue to teach memory-based and replication thinking will find themselves increasingly irrelevant.

Ryan Falkenberg is the co-Chief Executive of CLEVVA.

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Four automation trends to watch out for in 2020 - IOL