Many tasks once owned by data professionals can now be automated or augmented by AI - meaning leadership itself is evolving. This raises a critical question: how must data leaders evolve to stay relevant and drive value? The need for strategic direction and business alignment is only increasing.
Challenge assumptions, share perspectives and explore how AI is reshaping data leadership and what this means for the future of CDO's.
Debate how AI is transforming the role of data leaders.
Discuss how skill requirements are evolving in an AI-driven environment and how to keep pace.
Weigh in on what data leaders should be doing now to future-proof teams, roles and career paths.
The rules of hiring in data and analytics are being rewritten- organisations now need talent who can connect data, AI and real business outcomes. With AI tools generating polished answers in seconds, distinguishing genuine expertise from surface-level knowledge is becoming increasingly difficult. At the same time, the pathway for developing junior talent is narrowing, as entry-level tasks are automated this creates long-term risks for workforce sustainability. This creates a new leadership imperative- building credible, future-ready teams in a market where roles, skills and expectations are constantly evolving.
Understand how roles are evolving and why business fluency is becoming as critical as technical skill.
Learn how to assess true capability in the age of AI, identifying talent that can apply judgement and commercial thinking.
Explore strategies to close the junior talent gap while attracting and retaining high-performing individuals to build future-ready teams.
Check out the incredible speaker line-up to see who will be joining Mahesh.
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