InformationWeek:

IT professionals in the field discuss some of the best practices that help to make DevOps initiatives successful.

Eliminating bias in the data and algorithms that drive artificial intelligence and machine learning initiatives requires constant vigilance on the part of not only data scientists but up and down the corporate ranks.

One in six people around the globe lack a legal identity, making it almost impossible for them to get real jobs, to vote, and to own property. Blockchain promises to give them proof of identity.

Defining KPIs can be a whole different ballpark when you're in public sector IT. But even if you're not, the takeaway from these stories can easily be applied to the private sector: focus on the impact, the people, the customer, and success will follow.

GSK began an overhaul transformation of its R&D data and analytics infrastructure three years ago. Here's what it looks like today.

More business processes and highly-specialized tasks are being targeted for automation with the goal of making people and companies more efficient. If you haven't considered how intelligent automation will affect your career and your company, and even if you have, following are some points to consider that may help you navigate the issue.

Re-architecting for the cloud is never easy, but following some key steps can result in an optimized strategy that positions your company for cloud migration success.

Countries, as well as companies, are vying for supremacy in the artificial intelligence market.

A new report identifies the traits of organizations that are getting value -- higher revenues and profits -- due to their machine learning initiatives. Does your enterprise have what it takes?

Many enterprises are adopting hybrid cloud strategies, but in doing so, they face significant challenges.

While it's a challenging and time-consuming process, the creation of an enterprise data warehouse stocked with the right data will ease management, empower the business, and enhance the customer experience.

Spearheaded by the Virginia Institute of Marine Science, the StormSense project combines IoT sensors, cloud systems, predictive analytics modeling, and data visualization mapping to predict flooding impacts and deliver warnings to residents in the Virginia Beach area.

A company's effort to comply with GDPR don't end on May 25. The work is ongoing, tied to a recognition of privacy as a fundamental right.

A takeaway from an Interop ITX panel discussion: Data isn't a commodity to work with, but is a vehicle for unifying IT and the business at large.

[VIDEO] IT leaders and experts, including keynote speaker, Beth Niblock, CIO, City of Detroit, share highlights from their presentations at Interop ITX 2018 along with insights about the future of IT.

[VIDEO] If you missed Interop ITX or would like to relive it, we have you covered. We've compiled 11 interviews with IT leaders and experts who attended and spoke at Interop ITX 2018, including keynote speakers Sam Ramji, VP Product Management, Google Cloud and Joe Barkai, Consultant, Speaker, Author and Blogger.

Private companies have conditioned us to expect instant response and services, so we expect that from government agencies, too. But government doesn't always have the same funding that private companies do. Here's how these enterprises are addressing their digital transformations.

It's time to consider: Does the technology promise hope or hype for society and business?

Several organizations are assembling the technologies to enable self-sovereign identity, a way for individuals to control who they are online. Blockchain is one of those essential components.

Workforce analytics have traditionally focused on HR's use of them when their value can actually have significant overall business impacts. Realizing this, more business leaders are demanding insights into workforce dynamics to unearth insights that weren't apparent before.