Animesh Singh
Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair
Animesh is the Executive Director leading the next generation AI and ML Platform at LinkedIn, enabling creation of AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platform, Machine Learning Pipelines, Feature Pipelines, Metadata engine etc. Leading the creation of LinkedIn GAI platform for fine tuning, experimentation and inference needs. Animesh has more than 20 patents, and 50+ publications.
Past IBM Watson AI and Data Open Tech CTO, Senior Director and Distinguished Engineer, with 20+ years experience in Software industry, and 15+ years in AI, Data and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, drove the strategy and execution for Kubeflow, OpenDataHub and execution in products like Watson OpenScale and Watson Machines Learning.
Andrew Ng
Dr. Andrew Ng is the Founder and CEO of Landing AI, whose flagship product is an enterprise AI platform that allows customers to build and deploy AI-powered visual inspection solutions. Dr. Ng has helped two of the world’s leading technology companies in their “AI transformation”; He was the founding lead of the Google Brain team as well as the VP & Chief Scientist at Baidu, where he led the company’s ~1300 person AI Group and was responsible for driving the company’s global AI strategy and infrastructure.
Dr. Ng is also Chairman and Co-founder of Coursera, a leading online education company, and an Adjunct Professor at Stanford University’s Computer Science Department. His AI courses have had over 8 million enrollments. Dr. Ng has authored or co-authored over 200 research papers in machine learning, robotics, and related fields. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world. He holds degrees from Carnegie Mellon University, MIT, and the University of California, Berkeley.
