Remove Efficiency Remove Government Remove Sourcing
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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. Agency for International Development’s Global Health Supply Chain Program.

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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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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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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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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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How data stores and governance impact your AI initiatives

IBM Services

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Business Partners

Concerns around security, governance and lack of resources and expertise also top the list of respondents’ concerns. Optimized: Cloud environments are now working efficiently and every new use case follows the same foundation set forth by the organdization.