Latest articles from CIO magazine

AI centers of excellence can accelerate AI adoption — and organization-wide transformation — by consolidating talent, standardizing platforms, spreading successes across business lines, and uncovering…

Artificial intelligence is fast proving a business differentiator. Here are the key roles and skills you may soon need to fill for your AI A-team.

The coronavirus pandemic has agile teams adjusting to asynchronous remote collaboration. IT leaders who have spearheaded the agile development efforts of far-flung teams share their…

Machine learning is fast becoming a must-have for retailers looking to stave off disruption, but the barriers to entry — upfront cost and data prep…

For many organizations, AI remains a mystery not to be trusted in production, thanks to its lack of transparency. But demand, advances, and emerging standards…

Data is fast replacing code as the foundation of software development. Here’s how leading organizations anticipate processes and tools transforming as developers navigate this paradigm…

Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to…

Enterprises are undertaking AI pilots and putting artificial intelligence into production. Here’s where leading organizations are placing their bets — and seeing early results.

Looking to move beyond point solutions and proofs of concept? Here’s what it takes to develop to a holistic AI strategy honed for business results.

Organizations seeking to reap the full benefits of robotic process automation are beginning to see artificial intelligence as a key technology for optimizing their process…

New tools and cutting-edge projects show how machine learning and advanced analytics may soon revolutionize how software is designed, tested, and deployed.

For most organizations, DIY artificial intelligence is out of reach. Here’s how to cut through the hype and create business value with off-the-shelf AI.

Deciding whether to buy off-the-shelf AI or build your own AI-based business solutions is a complex equation based on available talent, business needs, desired outcomes,…

From customer service to risk management, artificial intelligence is ushering in the next financial revolution — as long as compliance issues can be addressed.

As enterprises further develop artificial intelligence projects, they are finding that some roles are essential to success. But the right talent can be hard to…

Early adopters are beginning to reap real business results from artificial intelligence implementations. But rolling out an AI initiative isn’t without its challenges.

From data center monitoring to connected kegerators, sensors, internet of things projects are inching their way into IT departments, reaping efficiencies, increasing security, and bringing…

Workplace AI: Emerging technologies, ethical questions

Artificial intelligence holds great business promise, but most organizations aren’t positioned to take advantage. Here’s how early adopters are transforming AI projects into business value.

Companies are increasingly turning to artificial intelligence to help strengthen customer relationships, provide unique experiences, and increase revenue.

Forget the tech giants’ rosters of data science PhDs. As AI moves into the enterprise, blended teams with business skills become more important for driving…

Enterprise augmented reality can offer some benefits to IT operations, but high prices and usability issues are hindering adoption

From predictive maintenance to digital twins, artificial intelligence is ushering in the next manufacturing revolution — if not for shortages of skills, data, and standards.

AI expertise is in short supply and high demand. Here’s how companies are filling the gap by training staff on the skills necessary to make…

Health care companies are embracing artificial intelligence for everything from drug research to diagnostics, but challenges centered around privacy, data and the AI ‘black box’…

Artificial intelligence is starting to eat the world, one step at a time, and IT operations is no exception. Although still early in deployment, companies…

Companies are increasingly adding IoT to their logistics operations in pursuit of greater visibility and efficiency in their supply chains — and to stave off…

Interest in machine learning and AI for SCM is increasing as companies envision a more predictable, automated future for logistics and distribution.

Data science democratized: What used to take data scientists months to prepare may soon be put together in a few days by data-astute business users.

Bad data is big issue for artificial intelligence, and as businesses increasingly embrace AI, the stakes will only get higher. Here’s how not to get…