In an era increasingly defined by artificial intelligence, the preparedness of an organization's data infrastructure is paramount, according to MathCo co-founder Sayandeb Banerjee. Speaking as part of the EY | BT Hidden GEMs series, Banerjee highlighted that while businesses have long engaged with data, the advent of new AI technologies has elevated the necessity of strategic data readiness.
The Evolving Role of Data in AI
Banerjee explained that the focus has shifted dramatically. "While people have been working on data for a long period of time, now with the advent of new AI technologies it has become even more important to see how one gets their data ready for AI," he stated. He emphasized the immense opportunities available in this evolving space, describing it as a pivotal moment for businesses.
The global journey into AI necessitates a careful consideration of its trajectory and how it will reshape industries. MathCo has introduced its concept of "systemic AI" to address this, a philosophy that has resonated strongly with clients and prospects alike.
Introducing Systemic AI for Business Transformation
Systemic AI, as envisioned by Banerjee, goes beyond merely solving isolated problems or creating what he terms "shiny objects." Instead, its core purpose is to enable profound business transformation. This approach aims to integrate AI capabilities end-to-end across an organization's operations.
"How do you really go end to end and change your marketing process, change your revenue management process or change your supply chain leveraging AI? You can call it AI transformation, so how do we make systemic AI real for more and more of large enterprises is one big focus area for us," Banerjee elaborated.
Driving Business Outcomes with AI
Echoing this sentiment, Shivani Nagpaul of EY India noted a significant shift in tech services, particularly concerning AI projects. Budgets and spending are increasingly being reallocated towards AI initiatives, with a clear focus on accountability.
"The CIOs, the CDOs are now accountable for delivering ROI and at the moment that's the metric that you're driving," Nagpaul commented. This shift indicates a move towards more durable projects and outcomes, where the primary concern isn't just about implementing AI, but about its tangible impact on business performance. The emphasis remains on strategic implementation, ensuring that AI investments yield measurable returns and foster genuine, lasting change within enterprises.