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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Conversely, confidence in the accuracy and consistency of your data can minimize the risk of adverse health outcomes, rather than merely reacting to or causing them. Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients.

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5 key areas for governments to responsibly deploy generative AI

IBM Big Data Hub

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

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Regulatory Update: NAIC Fall 2018 National Meeting

Data Matters

NAIC Continues its Evaluation of Insurers’ Use of Big Data. The white paper identifies best practices currently used in a number of states and provides guidance for regulators in implementing those best practices. GCC using a risk-based capital aggregation methodology. sector; and.

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Business process reengineering (BPR) examples

IBM Big Data Hub

This transformation entails replacing manual, paper-based workflows with digital systems that use technologies like Robotic Process Automation (RPA) for routine tasks. Frustrated customers were left stranded in call lines and Bouygues at risk of being replaced by its competitors. Last updated 23 February 2024. The result?

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Regulatory Update: NAIC Summer 2021 National Meeting

Data Matters

Highlights include, among others, adoption of revised risk-based capital bond factors for life insurers, amendments to SSAP No. NAIC Adopts Revised Risk-Based Capital Bond Factors for Life Insurers. 71, and an amendment to the purposes and procedures manual to add instructions for review of funds.

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Operationalizing responsible AI principles for defense

IBM Big Data Hub

Defense leaders focused on operationalizing the responsible curation of AI must first agree upon a shared vocabulary—a common culture that guides safe, responsible use of AI—before they implement technological solutions and guardrails that mitigate risk. Model output is based on the data it was trained on.

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How Meta’s Llama 3 will impact the future of AI

IBM Big Data Hub

In January of 2024, Meta CEO Mark Zuckerberg announced in an Instagram video that Meta AI had recently begun training Llama 3. Should the next generation of models follow a similar timeline, they would be released by sometime around July 2024. ” How will Llama 3 compare to Llama 2?