Research · MIT Technology Review
AI needs a strong data fabric to deliver business value
Compiled by KHAO Editorial — aggregated from 1 outlet. See llms.txt for citation guidance.
◌ Single Source
Artificial intelligence is moving quickly in the enterprise, from experimentation to everyday use.
Key facts
- According to Stanford’s 2026 AI Index, AI is sprinting, and they're struggling to keep up
- By the end of 2025, half of companies used AI in at least three business functions, according to a recent survey
- Exclusive: Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players
- This content was produced by Insights, the custom content arm of MIT Technology Review
Summary
But as AI becomes embedded in core workflows, business leaders are discovering that the biggest obstacle is not model performance or computing power but the quality and the context of the data on which those systems rely. Without that context, AI can generate answers quickly but still make the wrong decision, says Irfan Khan, president and chief product officer of SAP Data & Analytics. "AI is incredibly good at producing results," he says. In the emerging era of autonomous systems and intelligent applications, that context layer is becoming essential.