As organizations adopt the Snowflake AI Data Cloud to power advanced analytics, GenAI, and agentic AI workloads, building scalable, trusted, and cost-efficient data pipelines become critical.
Legacy ETL tools and fragmented point solutions derail AI initiatives and increase cost and complexity.
Experts from Informatica and Snowflake joined DBTA’s webinar, From Integration to Insights: AI-Ready Data Integration with Informatica and Snowflake, as they discussed applying metadata-driven governance, data quality, and observability to deliver trusted, AI-ready data.
“Modern Analytics and AI are transforming enterprises into insight-driven, adaptive organizations,” said Etty Afriat, Sr. director, product management at Informatica.
Informatica can solve critical data challenges for Snowflake customers. Informatica can help customers build a modern, AI-ready data foundation for the Snowflake AI Data Cloud, Afriat explained.
With Informatica, customers can get end-to-end data management for Snowflake with an AI-powered, metadata-driven, cloud-native platform to discover, catalog, ingest, cleanse, integrate, optimize, govern, secure, and prepare data—validated for the Snowflake AI Data Cloud.
Informatica Data Governance for Snowflake enables business domain owners to secure PII information through tag-based masking policy. Customers can apply tag values based on the domain and context in which the data is used. They can automate AI-based classification based on the sematic data type as compared to technical representation.
View how and where Snowflake tags are applied within Snowflake. Customers can also view detailed end-to-end, column-level lineage in and out of Snowflake.
Discover relationships between databases, schemas, columns and tables using Snowflake tags.
Global enterprises are seeing real impact with AI, noted Venkat Suru, principal partner SE at Snowflake, but not every enterprise is succeeding with AI.
The core pillars of high-impact AI organizations include:
- AI in every workflow: Unlock intelligence in the workflows of every team and every agent.
- Business logic and context: Ensure AI decisions align with your goals, rules, and company context.
- Unified data foundation: Unify all data into one trusted foundation, regardless of where it lives.
Snowflake powers the organization’s AI transformation with its portfolio, Suru explained. The Snowflake AI Data Cloud is enterprise-ready by design. Customers can go from idea to production faster; access all their data without moving it; and enable proven security controls that follow their data.
For the full webinar, featuring a more in-depth discussion, Q&A, and more, you can view an archived version of the webinar here.