What happens when enterprise AI moves faster than the data foundations that should support it? That question guided my conversation with Sumit MehraCTO and co-founder of Tredence, who accompanied me while traveling between client meetings on the US West Coast. Sumit has a clear picture of what will happen, and he believes we are entering a phase he calls data Darwinism.
According to him, the next phase of AI advantage will not be won by the companies with the most models or the flashiest demos, but by those with the strongest data habits. Clean, managed, connected data is now the primary fuel for autonomous decision-making systems, and those companies that fail to achieve this will struggle to move past the superficial profits. As we unpacked this shift, it became clear how much of the real work in AI is just beginning.
Over the years, Tredence has built a reputation for solving the last mile of analytics by taking insights from slide presentations and putting them into the hands of the people doing the work. Sumit described that first chapter with a sense of pride, but he was quick to point out that a new transition is already underway.
With agents now influencing and making decisions about supply chains, forecasting and customer experiences, companies are moving from assessing insights to assessing decisions. That shift requires stronger data platforms, tighter governance and a cultural adjustment that many organizations are still struggling with. Sumit spoke openly about how teams need support to achieve trust agent-driven results, and how the leadership layer plays an important role in bridging the long-standing gap between business and technical groups.
Our discussion also covered the rise of real-time decision systems, the move toward unified data platforms, and how vertical AI is reshaping expectations within industries that rely on precision. Whether it’s supply chain visibility, marketing personalization or the growing need for credible governance models, Sumit emphasized that organizations can no longer rely on siled data or fragmented strategies.
As Tredence expands deeper into regulated sectors through the acquisition of Further Advisory, the work ahead touches everything from finance to healthcare. It got me thinking about how ready most companies really are for this next phase, where each agent is only as trustworthy as the data beneath it. What is your position on data Darwinism, and how prepared do you think your own organization is for the future?
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