The New Era of Gen AI: Enabled by Logical Data Management
Many organizations are still struggling to implement a data foundation that can scale across the increasing number of data sources and increasing volumes of data required by Gen AI; enable all Gen AI applications and other data consumers to access the data they need in real time, and in a safe and privacy-compliant manner.
Many organizations are still struggling to implement a data foundation that can scale across the increasing number of data sources and increasing volumes of data required by Gen AI; enable all Gen AI applications and other data consumers to access the data they need in real time, and in a safe and privacy-compliant manner.
Yet despite these data management challenges, Gen AI yields considerable benefits. Industry-leading data management vendors have built Gen-AI-based functionality into their platforms that accelerate data preparation and consumption, automatically optimize for performance and cost-effectiveness, and keep up with ever-increasing data demands from the business, without sacrificing quality or security.
In this position paper, we will cover each of these points in depth:
- The use cases in which Gen AI is enjoying early adoption and success in the enterprise
- Some of the challenges of using Gen AI in the enterprise
- How the Denodo Platform addresses these challenges
- How Gen AI is being leveraged within the Denodo Platform