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Four GenAI Skills Every Worker Must Master

Gartner has identified the four generative AI skills that workers must develop in 2025: recognizing use cases, understanding the technology, writing effective prompts, and evaluating results. A practical guide for CIOs and HR leaders.

Adopting GenAI Without Risk: The Personas and Landing Zone Method

Adopting GenAI without exposing sensitive data is possible with a structured approach based on risk personas and cloud landing zones. A practical guide for infrastructure and IT operations leaders.

GenAI in Finance Is Still in Pilot Mode. What Comes Next?

GenAI in finance: adoption doubled in one year but still stuck at the pilot stage. 63% of CFOs are optimistic about future value, but organizations are deliberately slowing spending to align with governance and risk management.

GenAI and Finance: Where Investments Are Heading

The Finance Technology Bullseye 2026 analyzes 63 technologies across adoption, value, and future investment. GenAI is the number one priority, but most organizations are still in the pilot phase. Here is the complete map.

The GenAI Use Cases You Can’t Afford to Miss in Corporate Communications

Content tailoring, audience response simulation, and disinformation intelligence are the GenAI use cases with the best value-to-feasibility ratio for communications teams. Here is why you should start here.

GenAI in Marketing and Communications

An analysis of 18 GenAI use cases for the communications function: which ones deliver real value, which remain hard to implement, and how to prioritize investments.

GenAI in the public sector: three lessons from the cases that work

Contact centers, transportation, citizen services: AI in the public sector is maturing. The cases that produce real results share three characteristics that most pilots ignore.

GenAI in transportation: what worked, what disappointed

71% of transportation companies have already adopted or will adopt GenAI by 2026. But not all use cases have delivered on their promises. An updated map on where to invest and where to wait.

GenAI in education: where to really invest

Generative AI in education is not all the same: some applications deliver concrete results within 18 months, others remain stuck in pilot phase. A map for deciding where to invest.

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