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Enterprises need unified data infrastructure to unlock AI's full potential.

Enterprises face significant hurdles in adopting AI due to fragmented and inadequate data infrastructure. Experts from Databricks and Infosys emphasize the need for unified, governed, and open data architectures to ensure high-accuracy AI outputs. This foundational work is crucial for businesses to leverage their data as a strategic asset, enabling measurable outcomes and unlocking new operational efficiencies. AI

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IMPACT Accelerates enterprise AI adoption by highlighting the critical need for robust data infrastructure and governance.

RANK_REASON This is an opinion piece by industry executives discussing the challenges and requirements for enterprise AI adoption.

Read on MIT Technology Review →

COVERAGE [1]

  1. MIT Technology Review TIER_1 · MIT Technology Review Insights ·

    Rebuilding the data stack for AI

    Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest obstacle to meaningful adoption is the state of their data. While consumer-facing AI tools have dazzled users with speed and ease, enterprise leaders are discovering…