From AI pilots to enterprise intelligence: Why Systemic AI will define the next decade
As artificial intelligence moves from experimentation to enterprise-wide adoption, organisations are discovering that successful AI transformation requires far more than deploying powerful models or launching isolated pilots. It demands a connected architecture, AI-ready data, strong governance, and a relentless focus on business outcomes. In an interaction with Express Computer, Sayandeb Banerjee, Co-Founder & CEO, MathCo, reflects on the company’s decade-long journey from an analytics startup to a global Enterprise AI partner. He discusses why enterprises must embrace “Systemic AI,” the growing importance of owning enterprise intelligence and intellectual property, the metrics that truly define AI success, and how business leaders can prepare for the next era of decision intelligence.
MathCohas completed a decade-long journey from being an analytics-focused startup to becoming a global Enterprise AI partner. Looking back, what have been the defining milestones, strategic pivots, and lessons that shaped this transformation?
When people say, “it’s been a...
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