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AI's Data Problem: Not Investment, But Infrastructure
18 Jun
Summary
- Poor real-time data infrastructure hinders AI scalability for 72% of IT leaders.
- Data lineage and fragmented ownership also pose significant AI implementation challenges.
- Companies prioritize data streaming platforms to fix AI system issues.
Businesses are actively investing in artificial intelligence, yet the true impediments to AI adoption are not the scale of these investments, but the underlying data systems. Research indicates that 72% of IT leaders find that inadequate real-time data infrastructure prevents proper AI scalability. Additional significant challenges include uncertainty in data lineage, reported by 66% of respondents, and fragmented data ownership, affecting 65% of companies.
These data-related hurdles have resulted in fewer AI deployments than anticipated and diminished return on investment. Only 32% of companies have agentic AI in production, with most experiencing delays. To address this, 80% of organizations are now prioritizing the use of enterprise data to drive AI systems. Data streaming platforms are recognized as crucial support, with 88% of IT leaders citing them as essential.
