Session Outline
With the mass adoption of AI, the possibilities for good are stunning, so too is the potential for calamity. AI models rely on a constant influx of high-quality data for training and inference. Yet data management is still a huge challenge for enterprises. A recent survey found that the top technology-related challenge for AI is identifying, collecting, or aggregating data from across the company, ensuring its completeness and accuracy in preparation for use in AI.
In this session at the Data Innovation Summit 2024, we have Giuseppe Mura! Giuseppe is Director of Solution Engineering, EMEA at Software AG. In his talk, Giuseppe looks at how organizations can overcome AI scaling challenges. Challenges like data silos, poor data quality and the lack of observability, monitoring, and explainability.
Key Takeaways
- The challenges of scaling AI
- How modern data integration can remove AI scaling challenges
- Moving beyond data integration for even better AI results