Point of view
From pilot to production: scaling generative AI in the enterprise
Generative AI pilots are easy to start and hard to scale. Five decisions separate the programs that reach production from those that stall.
Analyses
Analyses pour un avenir porté par l’IA
Des perspectives concrètes sur l’IA, les données, le cloud, la gouvernance et les talents technologiques, par les équipes qui les mettent en œuvre.
Point of view
From dashboards to decisions: making analytics adoption stick
Many organizations have more dashboards than ever and still struggle to make data-driven decisions. Adoption is a design and leadership challenge, not a tooling problem.
Point of view
Data foundations first: why AI programs stall without them
AI ambitions often collide with fragmented, poorly governed data. You do not need a perfect data estate to start — but you do need the right foundations for each use case.
Guide
Securing agentic AI: protecting tools, data and decisions
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.
Guide
A practical guide to responsible AI governance
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.
Guide
Preparing for the EU AI Act: what global companies should do now
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.
Point of view
AI agents in the enterprise: where they create value today
AI agents can plan, use tools and complete multi-step tasks. The opportunity is real — but so is the need for clear boundaries, evaluation and human oversight.
Playbook
FinOps for AI: keeping cloud and model costs under control
AI workloads introduce new and less predictable cost drivers, from accelerator capacity to per-token model pricing. A playbook for applying FinOps disciplines so AI spending scales with value, not just usage.
Playbook
Modernizing legacy data platforms to the cloud: a playbook
Moving a legacy warehouse to the cloud is a chance to fix long-standing problems — or to move them somewhere more expensive. A practical playbook for getting it right.
Guide
The blended team model: combining consultants, contractors and permanent hires
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.
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