From Big Data To Context Graphs: A 2018 Vision For AI As The Blueprint For 2026 Agents

InnovationFrom Big Data To Context Graphs: A 2018 Vision For AI As The Blueprint For 2026 AgentsByKarpagam Narayanan,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 08, 2026, 08:00am EDTSaving lives and creating experiences with Customer support agents at Ascendo.AI; Investor; Speaker on Enterprise AI and Entrepreneurship. gettyThe biggest mistake in enterprise AI has never been a lack of data. It has been the belief that more data automatically creates more intelligence.That was true in 2018, when I wrote that the fear of not having enough data can stall an enterprise’s digital strategy. It is even more true now, in 2026, as the industry shifts from talking about data volume to talking about tokens. The language has changed, but the underlying problem has not.Enterprises today sit on trillions of tokens across CRM systems, databases, documents, emails, tickets, Slack threads and wikis. But AI agents do not need all of it. They need the right tokens—the small, precise slice of context that allows them to act quickly, accurately and safely.That is the real evolution of enterprise AI; not bigger input, but better selection.The Problem Was Never ScarcityIn 2018, the industry was obsessed with accumulation—collect more data, add more sensors, buy more tools and store more history. The assumption was that intelligence would emerge from scale.My argument was different. Enterprises should first learn how to extract value from the data they already have. Too often, companies treat data collection as the first step when it should be the last resort.That insight matters even more now. In the age of LLMs, feeding an agent everything is not a sign of sophistication. It is usually a sign of poor design. The raw fire hose creates noise, raises cost and increases the chance of error. More information is not always better. Sometimes...