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The latest AI news, analysis and insights from DevOps.com.

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AI

Workflow Automation Poised to Accelerate DevOps

Automation is taking the market by storm. Research firm Gartner predicts that by 2020, more than 40% of data science tasks will be automated, and that is just the tip of the iceberg. Businesses are turning to automation to reduce costs, increase productivity and gain a competitive advantage. Add DevOps to the mix and it […]

Frank Ohlhorst · Jul 12, 2019
AI

Low-Code Providers Continue Enhancing Their Development Platforms

Enterprise low-code development continues to grow in popularity as software vendors continue to unveil tool enhancements designed to help business users and non-developers build functional applications and business processes. The help from low-code platforms (and other platforms that are integrating low-code capabilities) couldn’t come at a better time, as enterprises continue to struggle to digitize […]

George V. Hulme · Jul 9, 2019
AI

AI for IT Operations: All It’s Cracked Up To Be?

Artificial intelligence for IT operations (AIOps) is becoming a critical tool for organizations attempting to bring automation quickly to network management and IT problem resolution. However, many organizations are still unsure how to deploy AIOps for the most value and to net the full, promised results. Perhaps the challenges come from not looking beyond data […]

Frank Ohlhorst · Jul 2, 2019
AI

How Systemic Approaches to ITOps Impact the Business Culture

We are at an inflection point in the rise of big data. Enterprise IT infrastructure is producing data at a scale like the world has never seen before. IT operations (ITOps) management has accelerated past the notion of data storage and processing (vis a vis the Hadoop model) and into the world of analytics-as-a-service. We […]

Bhanu Singh · Jun 24, 2019
AI

Moogsoft Advances AIOps Workflow

Moogsoft is moving to make it easier to create custom workflows around its AIOps platform while expanding the number of integrations provided to include connectors to New Relic Insights, Microsoft Teams and proxy support for polling integrations with IT platforms Zenoss, Zabbix, vCenter, vSphere, Solarwinds, Spectrum and SevOne. Gabe Coelho-Kostolny, senior product management and product […]

Mike Vizard · Jun 17, 2019
AI

How AI is Transforming Testing Today

Currently, there is much debate about how artificial intelligence (AI) will transform our lives. One of the technology’s key benefits lies in its power to transform traditional approaches to app development and software testing. Gartner identified AI-driven development as one of its top three strategic technology trends for 2019. Digital transformation is dependent on better-quality […]

Antony Edwards · May 30, 2019
AI

Are Self-Service Machine Learning Models the Future of AI Integration?

DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. As a result, the market is seeing an influx of self-service machine learning models and machine learning-as-a-service offerings designed to help development teams more […]

Ericka Chickowski · May 28, 2019
AI

DevOps Chat: We Are Devo, With Walter Scott

If you have massive amounts of data, Devo wants to help. The Madrid-based company specializes in the handling and processing of massive amounts of data. In this DevOps Chat we spoke with Devo CEO Walter Scott about the use cases for Devo in a data-crazy world. Walter is a seasoned CEO in the tech sector. […]

Alan Shimel · May 17, 2019
AI

Technology: Isolation in the Age of Automation

Dependence on technology makes us more independent overall, but it also makes us more isolated. So, what happens if things come to the point where we depend on machines more than we depend on other human beings? Earlier this month I attended a presentation about machine learning on mobile phones at Google IO 2019. Right […]

Bob Reselman · May 17, 2019
AI

Nutanix Eases Development of IoT Apps

Nutanix, a vendor of hyperconverged infrastructure solutions, has released a new developer environment that allows developers to try and test IoT and AI apps in the cloud. Starting May 7, developers can sign up for a free 10-day trial of this experience. The developer environment is built under Nutanix’s Xi IoT Platform and gives developers […]

Frank Ohlhorst · May 10, 2019
AI

3 Steps to Building Data Science Models

Have you ever considered supplementing your development skills with some data science? Expand your range and follow this quick tutorial on how to build your own predictive models using open datasets, Jupyter notebooks and Sequential models. Pick Your Data Game Your first step in learning data science is to find a dataset that fits your […]

Magdalena Baracz · May 9, 2019
AI

What Can Automation Learn From DevOps?

A recent Capgemini survey revealed that while enterprise-scale automation is still in its infancy, IT automation projects are moving along. IT is starting to view automation less tactically and more strategically. The Capgemini survey also showed that IT automation can be responsible for several quick wins, including self-healing, event correlation, diagnostics, application releases, cybersecurity monitoring […]

Bhanu Singh · Apr 22, 2019
AI

XebiaLabs Injects Predictive Analytics Into DevOps Platform

XebiaLabs is moving to take the guesswork out of DevOps following the launch of a set of tools that leverage machine learning algorithms to predict when and how the release of an application is most likely to go awry. The Risk Prediction Module being added to the XebiaLabs DevOps platform comes on the heels of […]

Mike Vizard · Apr 17, 2019
AI

Developing Simple and Stable Machine Learning Models

A current challenge and debate in artificial intelligence is building simple and stable machine learning models capable of identifying patterns and even objects. Is it possible to know which models will work best or to simply see the data? It is possible, and the question is figuring out how to get there. Simple models are […]

Meir Maor · Apr 12, 2019
AI

5 DevOps Trends Worth Knowing in 2019

DevOps today is more than the buzzword it was 10 years ago. Back then, the idea of combining development with production in your IT infrastructure was not common; the logistics were nonexistent and most of the time businesses decided it was far too much effort. However, if the last nine years has taught us anything, […]

Gil Artmoore · Apr 11, 2019
AI

SolarWinds IT Trends Report 2019: Measuring the Skills Priority in DevOps

Although historically technology professionals were among the most adaptive specialists in the job market, a recent survey from SolarWinds found that DevOps teams, web product managers (WPMs) and developers lacked confidence in their current ability to effectively manage their current environments while engaging in future technologies. This balancing of current trends with future innovations is […]

Joe Kim · Apr 9, 2019
AI

VMware Doubles Down on IT Automation

VMware this week moved to inject application and operating system monitoring capabilities into the VMware vRealize cloud management platform to make it easier to employ dashboards to map the relationships between applications and the underlying IT infrastructure they run on. In addition, VMware enhanced its capacity optimization tools to enable IT teams to run “what […]

Mike Vizard · Apr 4, 2019
AI

The New AI Overseer Role in DevOps

Robot overlords are the stuff of science fiction fantasy. Today, with more teams implementing artificial intelligence (AI), DevOps teams need a hard, continuous look at reality. An AI overseer watching apps at work could make the difference between sadness and euphoria in your efforts. We’re seeing AI misses more and more often. Facebook recently admitted […]

Don Dingee · Mar 27, 2019
AI

Perfecto Applies AI to Writing Test Scripts

Artificial intelligence (AI) is starting to be applied to the writing and update test scripts. Perfecto has unfurled Perfecto Codeless, which employs machine learning algorithms to automate writing of test scripts in a way that allows them to not only run continuously, but also adjust to changes made to the application. Eran Kinsbruner, chief evangelist […]

Mike Vizard · Mar 21, 2019
AI

In Service Management, AI Is Still Aspirational

Artificial intelligence (AI) has become a matured concept, the excitement of which is bearing results for a number of sectors and it holds a good deal of promise for a bright future. AI is the act of making possible for machines to learn from “experience” while adjusting to new input and stimuli so they can […]

Nancy Van Elsacker Louisnord · Mar 12, 2019
AI

DevOps and Security: The Path to DevSecOps

A secure DevOps is highly beneficial for organizations. However, a secure DevOps environment shouldn’t be the end goal. When it comes to DevOps security, it’s important to integrate security right from scratch, secure the entire architecture, automate the security and use this technology to test the environment and the codes and respond to concerns immediately. […]

Subramonian Krishna Sarma · Mar 4, 2019
AI

Incidence Avoidance in Action

Today, CIOs are faced with the challenge of making enterprise technologies perform on par with offerings from consumer-facing technology leaders, such as Facebook or Netflix, meaning technology or services being seamlessly available with no performance lag. Of course, these expectations are not always aligned with the realities of managing complex hybrid enterprise systems that were not […]

Brad Clay · Mar 4, 2019
AI

What AI Could Mean for Developers

Artificial intelligence has been dominating the tech news headlines for a few years now, as the innovations in the sector keep rolling out at increased rates. The technology is, for lack of a better term, awesome, and when used correctly, it can have tremendous effects. We have already begun to see artificial intelligence in the […]

Anthony Coggine · Feb 26, 2019