Intelligent CIO North America Issue 60 | Page 4

Computer Science Department, www. intelligentcio. com value of data management.

CONTENTS ISSUE 60

09 14 18 20 24

NEWS: Latest news round-up from across the Middle East
CASE STUDY: Informatica and Carnegie Mellon University partner to drive innovation in GenAI for data management
EXPERT COLUMN: Appreciating AI while being aware of its limitations
LATEST INTELLIGENCE: The latest whitepapers from Ecliptor and Legrand
FEATURE: Protecting executives in an evolving digital world
09
20
CASE STUDY
Case STUDY
Key areas of focus include: AI-driven automation, metadatadriven Agentic AI and optimized AI training and inference.
Informatica and Carnegie Mellon University partner to drive innovation in GenAI for data management
Jignesh Patel, Professor,
I nformatica and Carnegie Mellon University( CMU) School of Computer Science- one of the world’ s foremost institutions for computer science and AI research – have partnered to advance the development and application of GenAI technologies for data management.
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
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
CASE STUDY
Carnegie Mellon University 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.
Generative AI and data are synergistic forces that present a rare opportunity to rethink nearly every aspect of data platforms, including core algorithms and
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. 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,
“ 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 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. that will redefine enterprise data management. These
How are‘ hands-on’ learning advancements will be embedded within CLAIRE GPT and CLAIRE AI Copilot, bringing transformative benefits opportunities for students and to our customers and the industry at large.” faculty impacted by the adoption of Informatica technologies?
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
Today, numerous research inputs, including those related to workload characteristics and the deployment of AI infrastructure at scale, are far easier
14 INTELLIGENTCIO NORTH AMERICA 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.
PARTNERSHIPS BETWEEN ACADEMIA AND INDUSTRY
ARE ESSENTIAL FOR DRIVING MEANINGFUL ADVANCEMENTS IN AI.
GenAI while providing valuable research and hands-on
www. intelligentcio. com INTELLIGENTCIO NORTH AMERICA 15

14

CASE STUDY
Key areas of focus include: AI-driven automation, metadatadriven Agentic AI and optimized AI training and inference.
4 INTELLIGENTCIO NORTH AMERICA www. intelligentcio. com