Artificial Intelligence (AI)

Focus your AI efforts on improving your development pipeline, not on punishing people or making other HR decisions.

Anders Wallgren

Feb 13, 2019

Should you use AI to make decisions about your software team?

Take a measured approach

AI will make ITSM more intelligent, from predicting when servers will crash to performing root cause analysis.

Esther Shein

Feb 6, 2019

How AI will transform IT service management

Is there rain in your forecast?

Enter the confluence of AI and DevOps, or learn more about it if you're already there, at these conferences.

John P. Mello Jr.

Jan 29, 2019

The best predictive analytics and machine-learning conferences of 2019

AIOps is coming of age

Guide

Be part of an empowered global community at RSA Conference 2019, March 4 – 8 in San Francisco.

RSA Conference 2019: Register Today

While it’s hard to completely eradicate bias in AI algorithms, a focus on these three things can minimize the risks.

Beth Stackpole

Dec 18, 2018

Can AI be bias-free? It depends on who's inputting data

Garbage in, garbage out

Savvy DevOps teams are building AI into their development pipelines via containerization. Here's how to get started, and cautions to consider.

James Kobielus

Nov 26, 2018

How containerization brings AI to your DevOps pipeline

Crush it with your cloud apps

Self-healing applications don't need AI or machine learning. Here's how to get started more simply.

Rouan Wilsenach

Nov 20, 2018

How to develop self-healing apps: 4 key patterns

No AI needed

Combine SIEM and AI to tap social media threat intelligence in your security operations. Here's how.

Lee Shin Yau

Nov 13, 2018

How to leverage social media data in your SIEM platform

SecOps gets social

IT ops should use predictive analytics to both anticipate issues and to automate the response as well. Here's how to get started.

David Linthicum

Oct 24, 2018

Predictive analytics: How to bring fortune telling to CloudOps

No crystal ball required

Prepare and harden your AI and machine-learning systems before attackers learn how to do so.

Robert Lemos

Oct 3, 2018

The state of AI and security: Tools emerge to take on adversarial attacks

Be on alert with machine learning

These orgs, events, and certifications for machine learning and predictive analytics will get you up to speed on what the technology can do for you.

Susan Salgy

Sep 4, 2018

Top 30 resources for predictive analytics pros to get on target

Ready, aim ... career

Guide

Join us at the Micro Focus ADM Summit to learn how global competition is demanding innovative apps that meet all customer expectations.

ADM Summit 2019: Register Today

Here's what AIOps capabilities are currently available, the tools that provide those features, and some bumps to beware of.

Christopher Null

Aug 22, 2018

Essential guide to AIOps: Top tools and implementation tips

Eat the elephant

Report

Optimize your penetration testing budgets and get a better return on investment with this strategic approach.

Gartner: How to Get the Most From Your Application Security Testing Budget

Guide

This guide provides an overview of each OWASP Top 10 2017 application security risk, and practical tips for writing secure code.

A Developer’s Guide to the OWASP Top 10

Machine learning has enormous potential, but to reap the benefits you must be positioned to take advantage of all of it. Here's how.

Ben Lorica

Aug 21, 2018

4 tips for adopting enterprise machine learning

Prepare for the journey

Advances in AI-related software development are helping developers, not replacing them. Here are four changes to expect.

Robert Lemos

Jul 24, 2018

Will AI help dev and test teams—or replace them?

Embrace your inner AI

Here's how machine learning can help you test more and better—which translates into job security.

Joe Colantonio

May 23, 2018

How AI is changing test automation: 5 examples

Get HAL out of your head

AI-based testing will help testers produce more and better-quality tests. Here's why this will be important to your organization.

Jonathan Alexander

May 17, 2018

Why AI is the perfect software testing assistant

AI amplifies efficiency

From AI to explainability, visualization, and data lakes, technologies beyond machine learning will change the way organizations fight data fraud.

Kedar Samant

Apr 20, 2018

Get the most from machine learning: What's next for detecting data fraud

Expose the fakes

Testers who thrive in machine learning will be the ones who can build relationships, brainstorm, collaborate—and lead.

Geoff Meyer

Mar 29, 2018

How to navigate the human-machine partnership in testing

Testing's soft side

Report

By 2021, 30% of application development organizations will use AI-enabled test automation that supports the DevOps life cycle. Are your tools ready?