Adnan Masood
Chief AI Architect at UST
Artificial intelligence (AI) and machine learning (ML) define the cutting edge of data and analytics. But organizations struggle with providing productive environments for AI/ML models and ensuring that their data scientists have the tools they need to build the most powerful, effective solutions.
In this session, Dr. Adnan Masood, Chief AI Architect at UST, a solutions software company that partners with Denodo, explains how logical data fabric enables a powerful new form of AI, data-centric AI. Fasten your seatbelts for a deep presentation from a practitioner with considerable knowledge and experience.
You will learn:
- Why data-centric AI is becoming more important that model-centric AI
- The differences between traditional software and AI software, or software 2.0, augmented by logical data fabric
- The importance of ML operations (MLOps) in managing models in production, and why MLOps relies on data
- Why a small amount of good data can be more powerful than a large amount of bad data
- Why fine-tuning foundation models relies on good data from a large number of different sources, and how logical data fabric enables this
