Infosys Partners with Stanford HAI to Advance Enterprise AI Research
Infosys, a global leader in digital services and consulting, announced its collaboration with the Stanford University Institute for Human-Centered Artificial Intelligence (Stanford HAI). By joining Stanford HAI’s Corporate Affiliate Program, Infosys aims to accelerate AI research initiatives, focusing on responsible and impactful AI development.
The collaboration will enable Infosys to engage with Stanford HAI faculty and researchers on key topics, including responsible AI, the efficiency and effectiveness of business processes through AI and machine learning, and optimizing AI models for cost and scale efficiency. The partnership is set to enhance Infosys’ AI-first strategy by integrating cutting-edge research and proven practices into its AI platform, Infosys Topaz.
“We are excited to welcome Infosys to the Stanford HAI Corporate Affiliate Program. At HAI, we focus on building and deploying human-centered artificial intelligence that benefits humanity. Together, we hope to push the boundaries of AI research and develop solutions that are ethical, trustworthy, and impactful”, said James Landay, Co-Director of Stanford HAI.
Mohammed Rafee Tarafdar, Chief Technology Officer at Infosys, emphasized the significance of this collaboration: “We are thrilled to collaborate with Stanford HAI, marking a significant milestone in our AI-first journey. Through this partnership, Infosys will support the development of cutting-edge thought leadership and research that will help enterprises accelerate their AI journey responsibly. By incorporating the latest AI research and practices into Infosys Topaz, we aim to drive innovation and deliver transformative AI solutions for our clients and the industry”.
Infosys’ partnership with Stanford HAI underscores its commitment to advancing AI technologies that are ethical, scalable, and aligned with the future needs of enterprises. This collaboration is expected to yield innovations that not only enhance business processes but also contribute to the broader AI research community.
