Gartner: integrated governance needed to realise benefits of AI

Data and IT leaders face intensifying pressure to deliver successful business outcomes from artificial intelligence (AI) initiatives amid market hype and unpredictable, hidden infrastructure costs. Research from Gartner indicates that 80% of organisations are increasing their AI investments, despite over half of IT leaders admitting they feel pressured to adopt generative AI tools before they are ready.

Financial unpredictability remains a significant hurdle, as vendors charge based on complex metrics such as graphics processing unit (GPU) hours and token consumption. While 60% of IT leaders fear unexpected costs from AI agents, only 20% of data and AI leaders share this concern. Gartner advises implementing cost-driven designs early in prototyping and evaluating small language models as alternatives.

Crucially, when it comes to successful AI implementation, the most satisfied organisations are those investing 30% more in foundational activities, such as data management, governance, and talent. 

To enhance successful outcomes, Gartner suggests combining existing risk management, data protection, and cybersecurity governance functions into a single AI governance team. Under a unified governance structure, organisations should consolidate policies into a consistent framework aligned with the organisation's risk tolerance and cultural values regarding responsible AI use. 

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