AWS Marketplace: New Options for IT Automation Environments

By Brian McHugh on Thu, Jul 11, 2019 @ 09:07 AM

Organizations are running more workloads in the cloud than ever before, driven by dynamic business needs and unpredictable requirements. But cloud-based IT Automation resources —just like on-premises resources— often require costly installations.

IT Automation in the Cloud

In order to meet the growing demand for dynamic, flexible resources, IT Automation providers are listing more offerings in cloud marketplaces (such as AWS or Azure) than ever before. This is great for IT.

Obtaining IT Automation resources through a cloud marketplace means IT doesn’t have to spend time on installations, justify new perpetual licenses, or plan for new maintenance requirements, allowing IT to quickly procure new job schedulers and execution agents as needed, without making long-term commitments to the vendor.

This makes it easier for IT to create dynamic, hybrid environments that integrate, coordinate, and automate processes across disparate infrastructure resources, from a single point of control.

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Exploring the Case for Unified IT Automation (Free Webinar)

By Brian McHugh on Tue, Jul 02, 2019 @ 08:07 AM

ASCI’s recent webinar, From Siloed to Scalable: Exploring the Case for Unified IT Automation, includes a popular quote from Jack Welch, General Electric’s legendary CEO.

“If the rate of change on the outside exceeds the rate of change on the inside, the end is near.”

Welch was suggesting that organizations need to change faster than the markets they participate in. That’s great advice. In order to stay competitive, an organization should have the technologies, policies, and roadmaps that everyone else will want six months from now.

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Credential Management for IT Automation? Here's Why It's Necessary.

By Editorial Staff on Tue, Jun 11, 2019 @ 09:06 AM

By the IT Automation Editorial Staff in conjunction with CyberArk

Do We Need Credential Management?

2.3 billion credentials were stolen in 2017, affecting a variety of industries, according to the 2018 Credential Spill Report.

How did hackers gain access to 2.3 billion accounts? Because, despite repeated warnings, organizations are not as careful with their passwords as they should be.

OpenVPN has found that a whopping 25% of US employees use the same password for each of their accounts —and to make matters worse, most of them don’t password-protect their devices.

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Informatica World 2019 Recap: Improving Data for Better AI

By The IT Automation Editorial Staff on Thu, Jun 06, 2019 @ 08:06 AM

The biggest news from this year’s Informatica World, explained by the speakers who were there.

Artificial intelligence is popping up everywhere, from factory floors to hospital rooms to IT departments and more. The use cases are varied, the circumstances are diverse, but every AI tool has one thing in common: a need for data.

There’s plenty of data. Years ago, organizations began building data lakes, waiting for new technologies and tools that would help turn that data into binary gold. Those tools are now here, driven by AI and machine learning (ML), and there’s one big problem: Much of the data is insufficient.

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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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