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Practical perspectives on AI, data, cloud, governance and technology talent from the teams who deliver it.
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AI agents that can call tools and act on systems introduce security risks that traditional application controls do not fully address. A practical guide to the threats and the safeguards that keep agents useful and safe.
Regulation and stakeholder expectations around AI are rising. This guide sets out the core building blocks of a governance program that enables innovation rather than blocking it.
The EU AI Act can apply to organizations outside Europe that build, sell or use AI affecting people in the EU. A practical guide to the steps global companies can take now, whatever their starting point.
Demand for AI and data skills is volatile and hard to forecast. A blended talent model gives you speed, flexibility and long-term capability at the same time.
Boards and finance teams want to know what AI investments are returning. A practical framework for defining value up front, measuring it honestly and deciding where to invest next.
The skills organizations need for AI and data are changing quickly, and competition for experienced practitioners remains intense. A practical guide to defining roles, hiring well and keeping the people you have.
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