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According to a report by Gartner, Inc., by 2027, 50 per cent of business decisions will be augmented or automated by AI agents for decision intelligence. This integration will enhance decision flows by handling complex analysis and data retrieval. Gartner recommends D&A leaders prioritise critical decisions that can benefit from advanced AI. Idoine cautioned that AI agents aren't "a panacea, nor are they infallible," stressing the need for effective governance and human AI literacy.

Another significant prediction in the report is that organisations that prioritise AI literacy for their executives are projected to achieve 20 per cent higher financial performance by 2027.

Additionally, Gartner suggests D&A leaders implement experiential upskilling programs, such as developing domain-specific prototypes to make AI tangible.

However, a critical challenge highlighted in the report is that by 2027, 60 per cent of D&A leaders will face critical failures in managing synthetic data, risking AI governance, model accuracy, and compliance. While synthetic data is crucial for privacy and generating diverse datasets, complexities arise in ensuring its accuracy, scalability, and integration.

Additionally, looking ahead, by 2028, 30 per cent of GenAI pilots will be built in-house for large-scale production, driven by lower costs and increased control, rather than relying on packaged applications. Building GenAI models internally offers greater flexibility and long-term value.

Lastly, by 2029, 10 per cent of global boards are predicted to utilize AI guidance to challenge executive decisions that are material to their business. As AI becomes integral to board-level strategy, robust data governance, regulatory clarity, and reputation management will become paramount.

"Nearly everything today - from the way we work to how we make decisions - is directly or indirectly influenced by AI. But it doesn't deliver value on its own - AI needs to be tightly aligned with data, analytics and governance to enable intelligent, adaptive decisions and actions across the organization," said Carlie Idoine, VP Analyst at Gartner.

Gartner's key predictions include a significant increase in business decisions augmented or automated by AI agents, a direct correlation between executive AI literacy and higher financial performance, and potential critical failures in managing synthetic data that could risk AI governance, model accuracy, and compliance.

The company advises integrating some strategic assumptions into their planning over the next two to three years.