DataFramed #328 The Challenges of Enterprise Agentic AI with Manasi Vartak, Chief AI Architect at Cloudera
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Oct 27, 2025 Manasi Vartak, Chief AI Architect at Cloudera, discusses the complex landscape of enterprise AI. She delves into the importance of having a robust governance framework to manage privacy and security challenges. The conversation highlights the necessity of understanding data lineage for accountability and the distinction between using private AI and cloud services. Vartak also addresses the skills needed for teams to adapt, the balance between prototyping and production, and exciting future directions for agentic AI in various industries.
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Gen AI Is Early, Not Mature
- Generative AI is still in early days and behaves like a 'kitten' compared to decades-long enterprise cycles.
- Specific use cases already show strong impact, but broad adoption will take much longer.
Start With Business Problems
- Lead with business problems, not technology, to avoid POCs that never deliver value.
- Focus on use cases with clear business backing and measurable outcomes.
Data Makes LLMs Enterprise-Useful
- Enterprise value comes from connecting LLMs to proprietary data while preserving permissions and privacy.
- Evaluating non-deterministic LLM outputs remains an open technical and trust challenge.