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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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4 strategic sourcing use cases to strengthen your supply chain

IBM Services

For sourcing teams, that means pivoting their mindset around selecting suppliers from a tactical, lowest-cost-above-all approach to a strategic one. Where tactical sourcing is a short-term strategy, strategic sourcing is for long-term business goals. And from that group, 71% would pay a premium for it.

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Impact Sourcing: Empowering Communities, Transforming Business, and Creating Long-term Impact | Webinar

Everest Group

Live Webinar Impact Sourcing: Empowering Communities, Transforming Business, and Creating Long-term Impact February 22, 2024 | 9 A.M. Impact sourcing has emerged as a strong and effective option in the global services segment and has become a model of choice for many leading service providers globally. CST | 10 A.M. EST | 3 P.M.

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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.

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Five open-source AI tools to know

IBM Services

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. Open-source AI projects and libraries, freely available on platforms like GitHub, fuel digital innovation in industries like healthcare, finance and education.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Services

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

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Why data governance is essential for enterprise AI

IBM Business Partners

Safe, widespread AI adoption will require us to embrace AI Governance across the data lifecycle in order to provide confidence to consumers, enterprises, and regulators. Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on.