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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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Business process reengineering (BPR) examples

IBM Big Data Hub

Technologies such as supply chain management software (SCM), enterprise resource planning (ERP) systems, and advanced analytics tools can be used to automate and optimize processes. Last updated 23 February 2024. This might include streamlining payroll processes, digitizing HR operations or automating invoicing procedures.

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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. lack of pet-specific product data (e.g., GCC using a risk-based capital aggregation methodology.

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Regulatory Update: NAIC Summer 2021 National Meeting

Data Matters

Moody’s Analytics, in collaboration with the American Council of Life Insurers, developed the revised bond factors, which are based on more recent historical data, as the data on which the prior factors were based was approximately 30 years old. 43R — Loan-Backed and Structured Securities . 26R – Bonds and SSAP No.

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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?