Title

AWS re:Invent 2023 - How to use generative AI to deliver self-service data products (HYB105)

Summary

The session focused on leveraging generative AI to enhance self-service data products.
Dinodo, a logical data management company, uses data virtualization to integrate, manage, and deliver data.
Generative AI is used to interpret natural language queries and generate SQL queries for data retrieval, improving user experience and efficiency.
The concept of a data fabric was introduced, which simplifies data architecture by providing a unified view of data from various sources without data replication.
Data fabric uses AI for learning and recommendations, accelerating query performance, and providing real-time cost monitoring (FinOps).
Denodo's platform integrates with AWS services and supports hybrid environments, combining data from AWS and non-AWS sources.
A customer case study of LeasePlan was presented, showcasing the benefits of using Denodo's logical data fabric.
Denodo is recognized as a leader in data integration and has won customer choice awards.
Attendees were invited to try Denodo through the AWS marketplace or the Denodo website and to visit the Denodo booth for demos and additional resources.

Generative AI is emerging as a powerful tool for simplifying data access and analysis, allowing users to interact with data systems using natural language.
The concept of data fabric is gaining traction as a means to reduce complexity in data management and to provide faster, more efficient access to data across various sources.
Denodo's approach to data virtualization is positioned as a solution to the challenges of data integration, particularly in hybrid cloud environments.
The integration of AI in data management platforms like Denodo's can lead to personalized recommendations, improved query performance, and better cost management.
Real-time cost monitoring (FinOps) is becoming an important feature for cloud services, helping organizations manage and optimize their cloud spending.
The session highlighted the importance of adapting to new technologies like generative AI and data fabric to stay competitive in the rapidly evolving field of data management.