One of the biggest risks in data work is optimizing for speed over fit. But if a solution doesn’t actually help someone make a better decision, or, worse, leads to a misleading one, it can cause more ...

From labor shortages and healthcare gaps to misinformation and data security risks, there are areas where technology could ...

Methodical problem formulation is the key to data strategies supporting AI for supply chain. Amazon, Unilever, AGCO, Walmart, and more have used this approach.

New data management and integration solutions featuring AI and machine learning signal that help is on the way to meet the ballooning enterprise data challenge.

CoreLogic CEO Pat Dodd talks about their data-driven solutions for client technology needs from the CoreLogic Discovery Platform.

Predictive intelligence at this level is both a data problem and a scale problem. Solving these is key to making it an implementable reality.

At CubeSmart, Schwan has the opportunity to pull from his many experiences to interact across different teams and initiatives. His team uses data to inform pricing and uses advanced analytics to ...

The unstructured data problem In the fast-paced world of financial services, few challenges are as persistent or as costly as the management of unstructured data. With thousands of finance ...

By prioritizing data accuracy and interoperability, stakeholders can begin to unlock the potential of AI in healthcare.