Taming the Complexity of AI Data Readiness

Most enterprises are hindered by "legacy debt" and siloed data, leaving them with massive datasets that function merely as expensive storage rather than a strategic asset. Without a trustworthy foundation, even the most sophisticated models will fail to deliver reliable business value.

This Harvard Business Review Pulse Survey, sponsored by Cloudera, explores how market leaders are shifting from "cloud-first" to "workload-first" strategies to solve for "data gravity". By bringing AI processing directly to the data—wherever it resides—organizations can reduce latency and security risks while bypassing the prohibitive costs of data movement.

Key findings from the Pulse Survey:

Prioritize Data Quality: Discover why 73% of respondents agree that organizations must prioritize AI data quality more than they currently do to ensure credible insights
Overcome Integration Hurdles: Understand why siloed data and lack of a clear data strategy currently impede 56% of enterprise leaders
Harness Agentic Automation: Explore how 65% of organizations expect business processes to be augmented by agentic AI within two years to autonomously monitor data health and lineage

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