The race toward AI is revealing a plethora of much-needed optimizations at the architectural level—and upgraded data management strategies are taking center spotlight.
Experts from Snowflake and Informatica joined DBTA’s webinar, From Data to Insights: Leading-Edge Analytics & BI with Informatica & Snowflake, to evaluate actionable strategies and success stories for future-proofing data management strategies, propelling enterprises toward AI success.
Amol Dongre, senior director of product management and data integration, Informatica, began by explaining that the needs for both modern analytics and AI are intertwined. With both modern analytics and AI transforming enterprises into insight-driven, adaptive organizations, AI can catapult analytics into modernity.
However, “To reap all those benefits, you need good data. That is the foundation of everything. In our view, good, prepared, transformed data that is user consumable is as necessary for AI use cases as it is for analytics; and that is where the challenge lies,” said Dongre.
Data’s ongoing, rapid growth in complexity—reflecting different aspects of business and existing in different sources—makes its utility for AI and analytics difficult to enact.
Dongre pointed to Snowflake’s data cloud platform and Informatica’s data integration and AI engineering offerings as the solution to developing a robust data foundation for analytics and AI.
Informatica’s Intelligent Data Management Cloud (IDMC), which offers a comprehensive set of services for modernizing data architecture, delivers the necessary data integration and AI engineering interactable through CLAIRE, Informatica’s seamless AI interface for its services. IDMC offers the following key benefits:
- Support for all patterns paired with 10x improvement in developer productivity
- Workload optimization driving 7.5x cost performance benefit
- Data- and platform-agnostic with 50k-plus metadata-aware connections
- Future-proof platform with over 90% portability of business logic
- Enterprise-grade operationalization with 99.9% SLA
Venkat Suru, principal partner SE, Snowflake, emphasized that a point solution is no longer suitable for the complexities of today’s data architectures. That’s why integrations between platforms—such as Snowflake and Informatica—are crucial for developing the proper data foundation for AI success.
Snowflake’s AI Data Cloud offers the flexibility, security and governance, and compute required by modern architectures plagued with modern complexity. With Informatica driving the crucial data quality component of the data architecture puzzle, Snowflake and Informatica’s platforms provide "clean, quality, governed data, and for you to be able to monetize in the platform [with data products].”
This is only a snippet of the full From Data to Insights: Leading-Edge Analytics & BI with Informatica & Snowflake webinar. For the full webinar, featuring more detailed explanations, demos, a Q&A, and more, you can view an archived version of the webinar here.