Why should AI Hardware Vendors Attend Enterprise Generative AI Summit West?
Gain exposure to the latest and greatest Generative AI adopters. Firstly, larger enterprise firms within finance, pharma and retail need to understand complete solutions for Generative AI infrastructure. Secondly, cloud service providers and hyperscalers want to understand cost-per-component and cost-per-inference within training models. Lastly, connect with dominant and emerging players within the Generative AI vendor space, from Generative AI software, middleware and foundation model builders who want to create their hardware infrastructure and need partners to help scale their operations.
As such, the Enterprise Generative AI Summit West is the perfect venue to connect with a comprehensive ecosystem of players across various industries. Enhance your product offerings through firsthand enterprise knowledge and connections with key decision-makers within organizations.
Don’t miss out on this opportunity to expand your knowledge and network in the Generative AI field.
Vendors who have signed up to attend...
Featured Speakers Include
Sai Teja Akula
Senior Director, Data Science
LTX Trading
With over a decade of dedicated experience in the field of Artificial Intelligence, Sai stands at the forefront of implementing and leveraging Data Science within organizations. A respected figure in the AI community, Sai has played an instrumental role in the transformation of traditional business models by seamlessly integrating advanced data-driven solutions. His expertise extends from developing sophisticated machine learning algorithms to strategizing the holistic implementation of AI within organizational infrastructures
Julius Lo
Director
NEUCHIPS
Julius is a Director of NEUCHIPS, an AI ASIC startup for recommendation inferencing. Julius leads NEUCHIPS software team, covering server integration to on-board firmware. Before NEUCHIPS, Julius worked for Global Unchip Corp., hTC and Mediatek, devoting himself to RTL circuit design, Linux device drivers and performance optimization with power balancing in 20+ chips. He is an author of 6+ international patents in the areas of scheduling and data compression.
Gayathri Radhakrishnan
Partner
Hitachi Ventures
Gayathri (G) Radhakrishnan has over two decades of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A, and venture investments at both Fortune 500 companies (Corning, Dell, Micron) and early-stage startups in the technology sector. Currently, a Partner at Hitachi Ventures, she focuses on technology startups driving digital transformation. Previously, she was with Micron Ventures, actively investing in startups applying AI in the areas of Manufacturing, Healthcare, Mobility, and also data center and storage related technologies. She also worked as an earlystage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. Gayathri holds a Masters in Electrical Engineering from The Ohio State University and an MBA from INSEAD in France. She is also a Kauffman Fellow.
Aayush Mudgal
Senior Machine Learning Engineer
Pinterest
Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur.