Closing the Intelligence Gap: How Leaders Can Scale AI with Strategy, Data and Work
By: Amit Kumar & Srinivasaa HG
- Scattered pilots and quick wins won’t deliver sustainable impact; success requires artificial intelligence (AI) to be woven into core operations.
- Poor governance and low data maturity are the main barriers to scaling AI rather than the algorithms themselves.
- Empowering, reskilling and preparing the workforce is essential to transform alongside AI, not be sidelined by it.
Enterprise technology has continually raised productivity expectations – from enterprise resource planning’s (ERP) “systems of record” to generative artificial intelligence (GenAI) “AI copilots.” Now, AI agents are entering the workforce and everything about how we run businesses is poised to change.
In today’s world, where geopolitical volatility can reroute supply chains in weeks and technology cycles compress from years to months, the question for chief executive officers is no longer whether to transform but how to orchestrate transformation at scale, with speed and accountability rising together. Read more
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