Informatica partners with Carnegie Mellon to boost GenAI in data

Informatica has entered into a strategic partnership with Carnegie Mellon University's School of Computer Science to further research and applications of generative AI in data management.

The collaboration is designed to merge Informatica's expertise in enterprise data management with Carnegie Mellon's academic capabilities in computer science and artificial intelligence. The two organisations intend to accelerate work in generative AI (GenAI), with an emphasis on integration into Informatica's CLAIRE AI suite.

Key areas identified for research and development include the automation of data management processes using GenAI, with the objective of reducing operational costs, complexity, and time to value for enterprises. Another focus lies in the development of metadata-driven agentic AI to facilitate automation in multi-source enterprise GenAI applications. This approach is designed to simplify the deployment of AI solutions that require access to multiple data sources. Additionally, the collaboration will seek to innovate methods for optimising AI training and inference, aiming to improve efficiency in environments where multiple AI models are in use and to ensure an advantageous price-to-performance ratio for global, distributed GenAI solutions.

Rik Tamm-Daniels, Group Vice President of Strategic Ecosystems at Informatica, commented, "Our partnership with Carnegie Mellon University underscores Informatica's commitment to pushing the boundaries of what's possible with generative AI in data management. By uniting our expertise with CMU's research excellence, we are pioneering AI-driven innovations that will redefine enterprise data management. These advancements will be embedded within CLAIRE GPT and CLAIRE AI Copilot, bringing transformative benefits to our customers and the industry at large."

Martial Hebert, Dean of Carnegie Mellon University's School of Computer Science, also highlighted the potential impact of the collaboration: "Partnerships between academia and industry are essential for driving meaningful advancements in artificial intelligence. By working with Informatica, we can explore real-world applications of generative AI while providing valuable research and hands-on learning opportunities for our students and faculty. This collaboration will contribute to AI breakthroughs that shape the future of technology."

The anticipated outcomes from the partnership are expected to feed into the continued development of Informatica's Intelligent Data Management Cloud platform. This platform aims to provide enterprises with the tools needed to build scalable, AI-ready data architectures. Informatica states that innovations resulting from the partnership will also be made available to the broader AI research community.

The agreement roots itself in Informatica's broader strategy around AI-driven data solutions, reinforcing its approach to developing new software categories and data management platforms that aggregate, manage, and unify data across various cloud and hybrid systems. Carnegie Mellon's involvement is positioned to provide research opportunities for students and faculty and facilitate the transfer of theoretical AI advancements into practical, enterprise-ready technologies.