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27
October 2026

When AI removes the IT backlog, who decides what is worth building?

AI is changing the structure of IT organizations, the skills employees need and the way technology is developed. As software development becomes faster and more accessible, the real challenge for CIOs shifts from managing limited IT capacity to making better business decisions. Technology skills remain essential, but business understanding, judgment and leadership are becoming increasingly important.

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15
October 2026

Moving fast with AI without losing customer trust

Organizations are under pressure to implement AI quickly, especially in customer-facing processes. But speed alone does not create business value. Reliable information, human oversight and clear accountability are essential to maintaining customer trust. Successful AI transformation requires organizations to move at the speed of trust.

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The Complete Guide to Evaluation Pipelines for AI Agents

From production traces and isolated trials to evidence you can use for release decisions (The AI Edge, 2026-09-29)

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17
September 2026

The agentic AI transition: from adding agents to redesigning work

Agentic AI is moving from experimentation to business transformation. The real opportunity is not simply to add AI agents to existing processes, but to rethink how work is organized, which decisions can be delegated and where human expertise continues to create the most value.

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02
September 2026

AI governance starts with accountability, not technology

As AI and autonomous agents become embedded in everyday business processes, control and accountability become increasingly important. Effective AI governance is not about slowing innovation down, but about making clear who is responsible, which decisions AI may support or make, and how business value and risks are monitored.

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