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Driving AI Value: From Quick Wins to Long-Term Impact

As AI investments surge, CIOs face mounting pressure to prove business value amid fast-paced tech changes. For many CIOs, a key priority is moving beyond technical achievements to focus on initiatives that bring tangible business benefits, according to Arun Chandrasekaran, distinguished VP and analyst at Gartner.

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Chandrasekaran underscored the importance of setting a pace that aligns with organizational readiness and using frameworks including the "AI Use Case Prism" to prioritize projects by balancing business value with technical feasibility.

"CIOs need to be pragmatic about AI expectations," Chandrasekaran said. "Starting with quick wins can build momentum, but the real goal is sustained value through a robust AI strategy."

With generative AI technologies evolving at breakneck speed, Chandrasekaran advised CIOs to adopt a balanced approach, which involves using AI's potential without succumbing to the hype. By carefully selecting high-value use cases and fostering a culture of continuous innovation, CIOs can help their organizations stay competitive while laying a strong foundation for AI's future integration.

In this video interview with Information Security Media Group, Chandrasekaran also discussed:

• Focusing on high-impact, high-feasibility AI projects to gain organizational support;
• Establishing small teams and trend-spotting practices to drive AI prototyping;
• Managing expectations and adopting a measured approach as the technology evolves.

Chandrasekaran specializes in AI and cloud computing, focusing on gen AI, MLOps and serverless technologies. He advises CIOs and CTOs, conducts workshops for Global 2000 organizations, and delivers key insights on emerging tech trends to drive innovation and strategic decision-making.