Gartner Calls for More Automation: Should IT Go Low-Code?

By Brian McHugh on Mon, May 20, 2019 @ 08:05 AM

Gartner’s “2019 Planning Guide Overview: Architecting Your Digital Ecosystem” calls for more automation as it lays out the primary trends IT must contend with.

Complexity is a growing problem for IT. Digital technologies are rapidly evolving, market demands are more dynamic than ever, and IT’s role within the organization continues to transform.

This has caused “increasingly complex technology ecosystems” that are more decentralized and distributed, making it difficult for IT to develop cohesive management and monitoring strategies.

According to Paul DeBeasi and Kirk Knoernschild, the analysts behind Gartner’s 2019 digital ecosystem guide, there are several major trends increasing pressure on IT, including:

  • Data and analytics
  • Machine learning and artificial intelligence
  • Cloud computing
  • The Internet of Things
  • Digital transformation

In order for IT to stay ahead of business demands, IT needs to be the driving force behind the organization’s digital agenda, which means first laying the foundation for IT’s own digital transformation. On this point, the Gartner analysts are clear: That foundation must include automation.

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Automate Your Next Job Scheduler Migration

By Brian McHugh on Tue, Apr 16, 2019 @ 10:04 AM

70% of organizations are migrating to broader automation tools, according to a recent study by Enterprise Management Associates.1

Why Replace a Legacy Job Scheduler?

Legacy job schedulers were designed to support specific platforms and systems, mainframes and homogeneous IT stacks. Because of this, older job schedulers have limited capabilities and cannot easily integrate with new digital tools and technologies.

Today’s IT environments, however, are distributed, diverse, and dynamic. So that relying on a legacy scheduler is a bit like driving a sports car without power-steering. Sure, you can still drive, but you aren’t going to move very fast.

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IT Automation Explained

By The IT Automation Editorial Staff on Wed, Feb 27, 2019 @ 08:02 AM


IT Automation offers a wide variety of tools, practices, and capabilities. It’s also a rapidly evolving field driven by continuous advancements in digital technology.

In this post, we'll discuss what defines IT Automation, what IT Automation is used for, and why it has become increasingly important as organizations strive for digital growth. We'll also cover the major categories of IT Automation, discuss common automation strategies, and take a close look at the major trends shaping the impact IT Automation is having today.

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What is Intelligent Automation?

By Brian McHugh on Tue, Jan 15, 2019 @ 08:01 AM

Intelligent Automation Defined

Intelligent automation is an IT automation tool that utilizes machine learning (ML) and artificial intelligence (AI).

ML relies on algorithms to predict outcomes based on data. The algorithms identify trends, commonalities, and correlations between variables, using statistical analysis to predict outcomes and future events. Then, as the program continues to run, the algorithms further improve their predictions based on subsequent datasets.

Any program, application, or system that can autonomously make decisions and take actions based on ML, has AI.

Intelligent automation refers to any IT automation tool that can improve its own processes and outcomes, optimize IT resources, and improve efficiency by analyzing data and augmenting human decision-making.

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Gartner's IT Automation Predictions for 2019

By Brian McHugh on Wed, Jan 02, 2019 @ 10:01 AM

Towards the end of each year, Gartner releases its predictions for the upcoming year. These predictions start a lot of conversations, get lots of coverage in the tech press, and are always useful.

There’s also a lot of them. Besides Garter’s two Top 10 Trends lists (Strategic Technology and I&O), Gartner has recently released dozens of its “Predicts 2019” papers. To help prepare for the new year, we've scoured Gartner’s trend and predictions, explaining eight of their 2019 automation expectations below.

A few major themes stick out:

  • AI is being used to optimize IT Automation
  • IT Automation is being used to optimize Big Data
  • As processes are simplified, Big Data will become accessible to the broader workforce
  • The role of IT is changing

Overall, 2019 looks to be a busy year for IT Automation, AI, and Big Data.

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Too Many IT Automation and Scheduling Tools?

By Brian McHugh on Tue, Dec 11, 2018 @ 08:12 AM



IT teams are automating faster than ever. But without a coherent strategy, automation loses its power.

Automation in IT

In a recent study by Enterprise Management Associates (EMA), 56% of respondents reported having “too many scheduling and automation tools in place.”

This statistic isn’t too surprising, but as the study continues, it becomes part of a paradox.

It turns out that 75% of the study’s participants (56% of whom have too many automation tools) have recently purchased new automation tools and are likely to agree (strongly) with the assertion that “the need for automation is growing”.

Which means that the study’s participants —automation veterans from large companies— have recently procured new automation tools, believing they need more automation, yet simultaneously believe that they have too many automation tools.

This would hurt even Watson’s head.

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A Brief Overview of IT Automation

By Brian McHugh on Tue, Nov 13, 2018 @ 10:11 AM

What is IT Automation?

IT Automation refers to the tools and practices used to automate jobs, batch processes, and workflows for IT.

Traditionally, IT Automation is used to automate repetitive, time-consuming, and error-prone tasks such as file movements and onboarding. However, there is a diverse range of IT Automation tools, some of which also automate more complex tasks involving cloud resource-provisioning and big data management.

Despite the wide variety of IT Automation tools on the market, all IT Automation tools allow users to schedule jobs for specified times or events. The rest of the features and capabilities vary, as well as the mechanics that go into developing the automated workflows.

For example, if an IT team is relying on one-off, custom scripts, then new scripts will be needed to automate new workflows. Or, if the IT team is using integrated IT Automation software, users may be able to automate new workflows using prebuilt job steps or APIs.

Topics: IT Automation
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The Netflix Model for Product Training is Key to IT Automation ROI

By Nick Sainato on Fri, Oct 26, 2018 @ 12:10 PM

Get More IT Automation ROI

In today’s evolving business market, organizations are faced with keeping up with changing and increasing demands. This is not a new idea, especially for IT departments. Even growing IT budgets can’t keep up with the ever-growing resource demands of the market. Our readers know the keys to shrinking this IT Resources Gap —and putting the right product and strategy in place is one essential.

However, even the most intuitive products have a learning curve. And even if users think they know it, they probably haven’t optimized their usage, or their IT Automation ROI. The Netflix model drives the value of product training programs within organizations, which in turn drives return on product investment.

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