IBM Big Data Hub

MAY 8, 2023

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Usage risk—inaccuracy The performance of an AI system heavily depends on the data from which it learns.

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Insurance Risk Artificial Intelligence Government 68

John Battelle's Searchblog

JANUARY 25, 2019

My current work is split between two projects: One has to do with data governance, the other political media. Big data, data breaches, data mining, data science…Today, we’re all about the data. And second… Governance. But Governance? Data Governance.

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Government IT Marketing ROT 92

IBM Big Data Hub

OCTOBER 3, 2022

And with good reason: it’s a lot of data to process effectively, and not all AI systems are created with the proper ethical guardrails in place. Organizations need to be able to trust their data science outcomes. Here’s how that North American healthcare company achieved its goals using data fabric.

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Risk Data science Insurance Cloud 52

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

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Analytics Data science Cloud Metadata 62