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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. lack of pet-specific product data (e.g., lack of pet-specific product data (e.g.,

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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. 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 Summer 2021 National Meeting

Data Matters

The new committee would continue the work of the task force and would oversee a variety of workstreams relating to big data, artificial intelligence, e-commerce, cybersecurity, and data ownership, among others. The earliest effective date for proposed SSAP revisions is expected to be January 1, 2024.

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The history of climate change

IBM Big Data Hub

In a 1967 paper documenting their model’s results, Manabe and Wetherald concluded that if atmospheric CO2 doubled from existing levels, such an increase would result in a global temperature increase of 2.3 Data Blog, World Bank. degrees Celsius. ” (link resides outside ibm.com). ” (link resides outside ibm.com).

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Operationalizing responsible AI principles for defense

IBM Big Data Hub

Co-chair Trusted AI committee Linux Foundation AI Contributed to the NIST AI Risk Management Framework; engage with NIST in the area of AI metrics, standards, and testing Curating responsible AI is a multifaceted challenge because it demands that human values be reliably and consistently reflected in our technology.

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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?