MIT Technology Review Insights Report · In partnership with Uniphore
Redefining Enterprise Intelligence with Autonomous AI
Composable infrastructure, sovereign data, and cross-functional coordination can enable intelligence to flow — and AI to grow smarter.
Global AI investment is surging — but the majority of enterprises are still not generating real returns. The reason isn’t the models. It’s the infrastructure, the processes, and the silos sitting beneath them.
Produced by MIT Technology Review Insights in partnership with Uniphore, this report draws on in-depth interviews with executives and experts from KPMG, Databricks, IDC, and Continent 8 Technologies to examine what’s separating AI’s high performers from everyone else — and what it takes to build AI that scales.
What you’ll learn:
- Why enterprise AI stalls before it reaches production — and the structural reasons most organizations miss
- How composable architecture and sovereign data unlock AI that compounds across the entire enterprise, not just the functions that deployed it
- What lifecycle governance really looks like in practice, and why getting it right accelerates AI deployment rather than slowing it down
- What agentic AI demands from enterprise readiness, and the competitive cost of getting it wrong