DATA & AI

Your organization’s next leap starts with strategic,
scalable and governed AI adoption

By:
Bart Moens

AI is evolving. Your strategy must evolve too

AI is shifting from supportive analytics to autonomous action. In 2026, organizations that adopt agentic AI—systems that can execute decisions within clear guardrails—are positioned for exponential gains. According to our research, AI leaders are 2.5× more likely to achieve higher revenue growth because they invest strategically in end-to-end process automation, reliable data foundations, and embedded governance. The future belongs to those who scale AI responsibly and holistically to end-to-end process automation, reliable data foundations, and embedded governance. The future belongs to those who scale AI responsibly and holistically, with reliable data foundations, embedded governance, and end-to-end process automation.

Beyond GenAI: Why agentic AI will redefine enterprise leadership

In today’s enterprise world, AI is no longer a tech topic — it’s a leadership choice. In this video, Bart Moens, Head of Data & Analytics at NTT DATA Benelux & France, explains the shift from generative AI to agentic AI and why the real question for leaders is: Which decisions are we ready to delegate and on what data?

Watch the video

A person presenting complex data visuals on a large screen in a classroom or meeting room setting.

Six strategic AI choices that will shape 2026

AI is entering a new phase. Over the past years, organizations have focused mainly on experimenting, piloting, and building early use cases. But 2026 will be different. We are now seeing AI systems evolve from tools that simply advise systems that can act autonomously and execute decisions within clear boundaries.