Five timeless, mutually reinforcing principles that every company needs to get right.

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing unstructured data quality issues, identifying...

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Poor data quality undermines good decision-making and dooms many AI initiatives. However, many organizations are operating in unmanaged data mode or organized...

Many organizations are investing in AI to improve efficiency and decision-making, yet they struggle to see meaningful impact. The problem? Their underlying business processes weren’t designed for AI. Without rethinking how work gets done, AI initiatives often fail to deliver their promised value. A new approach to process thinking can help reverse this situation. On […]

AI does not need to fail on a global scale to cause enormous damage - to individuals, companies, and societies. Models frequently get things wrong, hallucinate,...

Process management has long been a go-to method for achieving the improvements in operational performance that stakeholders constantly demand. By applying...

Process management, which swept the business world in the 1990s and then fell out of favor, is experiencing a renaissance, thanks to AI. The two reinforce...

While most leaders understand the importance of good data to their operations, too many fail to recognize the critical role that people play in creating...

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;...

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Today's AI developers struggle to predict which algorithms will work. AI lacks a basis for inference: a solid foundation on which to base predictions...

Many senior managers find themselves wondering: If data is such a game changer, why is it so hard to extract any value from it? For companies struggling...

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At many companies, gaps in organizational structure get in the way of data science success. A new type of role, connectors, can bridge those gaps to help...

Historically, technology arrives in clusters. With electrification came dynamos, generators, switch gears and power distribution system. With the printing...

Building a data driven culture is hard. To capture what it takes to succeed, the authors look at the first two years of a new data program at Kuwait's...

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...