The 2026 DataIQ Awards Winners Demonstrate the Greatest Achievements Across the Data and AI Industry
The 2026 DataIQ Awards have celebrated the ingenuity, ambition, and dedication of individuals, teams, and organisations. This year’s winners showed everything from the programmes moving the needle to the leaders setting the standard of excellence.
Hiring, Upskilling, Retaining: What Actually Solves the Data Talent Gap?
AI is changing the data talent equation. Leaders are still struggling to recruit some specialist skills, but the bigger challenge is identifying the right capabilities, assessing candidates when AI can cover up competence, and creating stronger internal pathways for people to develop.
Developing Data and AI Talent in High Maturity Organisations
Building AI capability requires more than hiring. Organisations need to balance specialist recruitment, internal development, and adaptable career pathways to keep pace with rapidly evolving technology.
Data governance in the energy sector remains a stubborn problem despite heavy investment. While data governance is seen as a prerequisite for AI initiatives, using AI to enhance data governance is still largely aspirational.
Embedding data and AI culture to measure business value through literacy programmes
Multiverse hosted a roundtable at the 2024 DataIQ 100 Discussion where members delved into how they are achieving value through data and AI cultures and improving literacy.
Celebrations for excellence in data at the 2024 DataIQ 100 Discussion
Awards for innovation and culture were presented at the DataIQ 100 Discussion, as well as an induction to the DataIQ 100 Hall of Fame for Ming Tang, CDAO, NHS England.
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