Most companies have massive amounts of data at their disposal – yet fail to utilize it in any meaningful way. But analytics is enabling many firms to aggressively leverage their data in key business decisions and processes. In a recent Harvard Business Review webinar, Tom Davenport explained how firms can build their entire strategies around […]

  Featuring Tom Davenport, the President’s Distinguished Professor of Information Technology at Babson College, and co-author of the book All in on AI: How Smart Companies Win Big with Artificial Intelligence, and Laks Srinivasan, the co-founder and CEO of the Return on AI Institute. Complimentary HBR Webinar March 17, 12:00 pm EDT AI is consuming […]

Companies should apply a step-by-step portfolio management approach when it comes to AI. They should view the connected portfolio through a dual lens:...

Some observers are beginning to question whether gen AI will produce enough value to exceed its costs. It can, but extracting economic value from gen...

The most effective companies we interviewed use process mining to generate operational insights at scale, identify process inefficiencies, define targeted...

An entirely new "management paradigm" for data is needed. As used here, a "management paradigm" embodies a common language, a holistic vision of the ways...

Case Study Reprint

ShotSpotter, Inc. is a company that leverages Internet of Things (IoT) technology and Artificial Intelligence (AI) to provide services to police departments....

Data is more important than ever, but most organizations still struggle with a few common issues: They focus more on data infrastructure than data products;...

The Chief Data Officer is arguably one of the most important roles at a company. It's also a position that has become notoriously hard to stay in. The...

Leveraging a company's proprietary knowledge is critical to its ability to compete and innovate, especially in today's volatile environment. Organizational...

Generative AI is impressive, but the hidden environmental costs and impact of these models are often overlooked. Companies can take eight steps to make...

Instead of worrying about whether they're adopting AI fast enough, most companies would be better served by making sure they're getting the basics right....

Businesses say they want to make more effective use of data, analytics, and AI, but many are not making progress. One survey of U.S. executives found that 63% do not believe their companies are analytics driven. Another survey found that in 2019 only 31% of large U.S. firms said they were data driven compared to […]

Improvements in technology have dramatically changed what enterprise analytics can do, but predictive and descriptive analytics still require time, expertise,...

It used to be that when companies needed new information systems, they either had to hire a developer or use off-the-shelf software. Now, however, there's...