The world is digitizing with increasing speed, and global interconnectivity is rising right along with it, generating abundant data. This data can facilitate more intelligent business decisions and ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

Here we explore the ways predictive analytics and prescriptive analytics are being used in the call center today, and trends to watch for tomorrow. Predictive analytics can help evaluate behavioral ...

Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

I recently had the opportunity to discuss current IBM artificial intelligence developments with Dr. Lisa Amini, an IBM Distinguished Engineer and the Director of IBM Research Cambridge, home to the ...

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The company is focusing on enabling autonomous asset optimization in manufacturers through data foundations and predictive ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and ...