Hi, Welcome back! I've found a flipbook presentation in the knowledge base that covers "The Production Gap: Why Bad Data, Not AI, Blocks Scale" - featuring Altair's journey to an AI-ready data foundation. This appears to be a speaking presentation with 14 slides covering enterprise data management challenges and solutions.
This presentation explores critical challenges organizations face when implementing AI initiatives. It covers why 95% of AI pilots fail, the limitations of traditional data management approaches, and how companies can build AI-ready data foundations. The presentation features a case study from Altair (now a Siemens company) and their journey to convergence through Agentic MDM.
Key Topics Covered
- The Production Gap and why bad data blocks AI scale
- Why traditional integration tools aren't enough for AI readiness
- Core issues blocking AI: technical debt, legacy MDM limitations, API failures
- Altair's transformation from legacy systems to AI-ready infrastructure
- Real-time sync, governance, and automation requirements
- 3 steps to AI-ready data: Expose Debt, Establish Trust, Scale AI
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