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Informatica Expands AI Capabilities
Data platform vendor Informatica is enhancing its AI capabilities to meet the growing demands of generative AI within enterprises. With a history in AI dating back to 2018, when it launched its first Claire AI tool for data, Informatica has made significant strides in this field. The company recently introduced Claire GPT, featuring advanced natural language capabilities, as part of its Intelligent Data Management Cloud (IDMC) launched in 2023. The primary goal is to simplify, accelerate, and enhance data access and utilization, making Informatica a compelling acquisition target. In May, Salesforce announced its intention to acquire the company for $8 billion.
Addressing Data Challenges
As the acquisition progresses through necessary approvals and regulatory scrutiny, enterprises continue to grapple with data challenges that require urgent attention. Today, Informatica unveiled its Summer 2025 release, highlighting the evolution of its AI journey over the past seven years to meet enterprise data needs. This update introduces natural language interfaces that can construct complex data pipelines from straightforward English commands, AI-driven governance that automatically tracks data lineage to machine learning models, and auto-mapping capabilities that reduce week-long schema mapping projects to mere minutes.
Upcoming AI Impact Series
The AI Impact Series is set to return to San Francisco on August 5. This event will feature leaders from Block, GSK, and SAP, providing an exclusive insight into how autonomous agents are transforming enterprise workflows—from real-time decision-making to comprehensive automation. Space is limited, so secure your spot now: https://bit.ly/3GuuPLF.
Tackling Fragmented Data
The latest release addresses a persistent challenge in enterprise data that generative AI has intensified. Pratik Parekh, SVP and GM of Cloud Integration at Informatica, explained to VentureBeat, “Data continues to be fragmented in the enterprise, and that fragmentation is growing rapidly; it’s not converging at all. This necessitates bringing all of this data together.” To fully grasp Informatica’s current initiatives, it is essential to understand its journey thus far. The initial implementation of Claire in 2018 focused on practical machine learning problems that affected enterprise data teams. The platform utilized accumulated metadata from thousands of customer implementations to offer design-time recommendations, runtime optimizations, and operational insights.
Advancements in Metadata Systems
This foundation is built on what Parekh refers to as a “metadata system of intelligence,” which encompasses 40 petabytes of enterprise data patterns. Rather than being abstract research, this represents applied machine learning aimed at resolving specific bottlenecks in data integration workflows. The metadata system has continued to evolve, and the Summer 2025 release introduces auto-mapping capabilities that address a long-standing data issue. This feature automatically maps fields between various enterprise systems using machine learning algorithms trained on millions of existing data integration patterns.
Parekh noted, “If you have worked with data management, you know mapping is a pretty time-consuming task.” The auto-mapping feature simplifies the process of creating a Master Data Management (MDM) record by taking data from a source system, such as SAP, and integrating it with other enterprise data. For enterprise data professionals, the MDM serves as the ‘golden record,’ intended to be the definitive source of truth regarding a specific entity. The auto-mapping feature can comprehend the schemas of different systems and accurately create the corresponding data field in the MDM.
Efficiency and Accuracy
The results demonstrate the benefits of Informatica’s long-term investment in AI. Tasks that previously required extensive technical expertise and considerable time can now be completed automatically with high accuracy. Parekh remarked, “Our professional services have done some work mapping that typically takes seven days to build. This is now being done in less than five minutes.”
Enhancements in User Experience
A vital component of any modern AI system is a natural language interface, often accompanied by a copilot to assist users in executing tasks. Informatica’s approach aligns with this trend, yet it distinguishes itself through its metadata and machine learning technology. The Summer 2025 release enhances Claire Copilot for Data Integration, which became generally available in May 2025 after nine months of early access and preview. This copilot allows users to enter requests such as “bring all Salesforce data into Snowflake,” enabling the system to orchestrate the necessary pipeline components efficiently.