CASE STUDY

By combining Informatica’ s AI-driven innovations with CMU’ s cutting-edge research, the partnership aims to accelerate breakthroughs in GenAI-powered data management, particularly within Informatica’ s CLAIRE AI suite. Key areas of focus will include:

AI-driven automation – Advancing the use of GenAI to automate and accelerate data management processes, reducing costs complexity and time to value of data management.

Additionally, the partnership will contribute key innovations to the broader AI research community, reinforcing Informatica’ s position as a trailblazer in Generative AI.

Intelligent CIO asked Jignesh Patel, Professor, Computer Science Department, Carnegie Mellon University, and Rik Tamm-Daniels, Group Vice President of Strategic Ecosystems at Informatica, further questions about the project.

Jignesh Patel, Professor, Computer Science Department, Carnegie Mellon University

What future AI breakthroughs do you think this collaboration could contribute to?

Metadata-driven Agentic AI – Developing AIbased automation for multi-source enterprise GenAI applications, enabling businesses to deploy advanced AI solutions that access data from diverse sources with ease.

Optimized AI training and inference – Innovating new approaches to enhance training and inference efficiency in multi-model enterprise environments, ensuring the best price-to-performance ratio for global, distributed GenAI applications.

“ Our partnership with Carnegie Mellon University underscores Informatica’ s commitment to pushing the boundaries of what’ s possible with generative AI in data management,” said Rik Tamm-Daniels, Group Vice President of Strategic Ecosystems at Informatica.“ 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, said:“ Partnerships between academia and industry are essential for driving meaningful advancements in AI. By working with Informatica, we can explore real-world applications of GenAI 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 findings from this research initiative will further enhance Informatica’ s Intelligent Data Management Cloud( IDMC) platform, equipping enterprises with next-generation AI capabilities to build robust, scalable and AI-ready data foundations.

Generative AI and data are synergistic forces that present a rare opportunity to rethink nearly every aspect of data platforms, including core algorithms and human interfaces. This collaboration brings together leading researchers from CMU, the birthplace of many foundational techniques in data and AI, and Informatica a leader in life-cycle data management.

Together, we aim to tackle a wide range of issues, particularly those that are high-risk and high reward. It’ s a chance to reimagine what a life-cycle data management system could look like if designed from scratch today, leveraging the latest advances in AI and data. Beyond rethinking algorithms for tasks like data cleaning, we also see a need for innovations in AI infrastructure to support low-latency, human-in-theloop operations that remain cost-effective at scale.

How are‘ hands-on’ learning opportunities for students and faculty impacted by the adoption of Informatica technologies?

Today, numerous research inputs, including those related to workload characteristics and the deployment of AI infrastructure at scale, are far easier

www. intelligentcio. com INTELLIGENTCIO NORTH AMERICA 15