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Mastering healthcare data governance with data lineage

IBM Services

The healthcare industry faces arguably the highest stakes when it comes to data governance. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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AI governance is rapidly evolving — Here’s how government agencies must prepare

IBM Services

The global AI governance landscape is complex and rapidly evolving. Key themes and concerns are emerging, however government agencies must get ahead of the game by evaluating their agency-specific priorities and processes. The term governance can be slippery.

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What can AI and generative AI do for governments?

IBM Services

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

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What are the different types of sourcing?

IBM Services

Sourcing isn’t just a concern for procurement teams. The sourcing process sits within supply chain management and is used for identifying, vetting and selecting the best suppliers. The sourcing process sits within supply chain management and is used for identifying, vetting and selecting the best suppliers.

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Open source large language models: Benefits, risks and types

IBM Services

There are two types of these generative AI models: proprietary large language models and open source large language models. On the other hand, open source LLMs are free and available for anyone to access, use for any purpose, modify and distribute. What are the benefits of open source LLMs?

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How data stores and governance impact your AI initiatives

IBM Services

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources.

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5 key areas for governments to responsibly deploy generative AI

IBM Services

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. AI plays a pivotal role in unlocking value from data and gaining deeper insights into the extensive information that governments collect to serve their citizens.