How can data and AI services help enterprises turn information into intelligence?
By Rahul Jha, VP of Cloud, GenAI & Cybersecurity, Visionet Systems
Today, enterprises are sitting on more data than they have ever had access to: transaction records, customer interactions, supply chain signals and years of unstructured documents. But for most organisations this wealth of information has not been matched by a similar increase in business intelligence. Data is being collected at an unprecedented rate, but too little of it is being translated into decisions, action or results. The gap between having data and using it well is slowly becoming the defining line between AI leaders and AI laggards.
The scale-up era has arrived, and it is exposing a data problem
AI is moving beyond experimentation for many enterprises. In EXL’s 2026 U.S. Enterprise AI Study, which surveyed 322 executives, 96% of respondents view scaling AI as very or extremely important and about 40% of organisations have already taken their agentic...
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