Ravi Shankar
Sr. VP & CMO
Terry Dorsey
Data Architect and Evangelist
Christopher Gardner
Data Analyst and Author
In your AI development projects, you can easily be hindered by laborious data access, inconsistent definitions, and batch-oriented data pipelines, which take time and increase the compute cost.
In this session, you’ll learn how a logical data management approach can streamline your development process with consistent semantics, reusable data products, and simplified, governed data access, through a centralized data marketplace experience. A logical approach optimizes your data lakehouse, reducing data movement while improving performance. It provides AI and analytics teams faster access to the data they need.
In this webinar, you’ll learn:
- How to reduce engineering effort by reusing data logic instead of rebuilding pipelines
- How to deliver consistent, trusted data across tools and AI workloads, using shared semantics
- How to improve performance and lower data and AI costs without duplicating or moving data
