WEBINAR
Organizations across industries are using AI to help build better products, streamline operations, and increase customer satisfaction.
Today, speech recognition services are deployed in financial organizations to transcribe earnings calls, in hospitals to assist doctors writing patient notes, and in video broadcasting for live captioning.
Under the hood, researchers and data scientists are building hundreds of AI models to experiment and identify the most impactful models to deploy for their use cases.
PyTorch Lightning, an AI framework built on top of PyTorch, simplifies coding, so researchers can focus on building models and reduce time spent on the engineering process. It also speeds up the development of hundreds of models by easily scaling on GPUs within and across nodes.
maincontent goes here
Content goes here
content goes here
Content goes here
Content goes here
Chintan Patel is a senior product manager at NVIDIA focused on bringing GPU-accelerated solutions to the high-performance computing (HPC) community. He leads the management and offering of HPC application containers in the NGC catalog. Prior to NVIDIA, he held product management, marketing, and engineering positions at Micrel, Inc. He holds an MBA from Santa Clara University and a bachelor's degree in electrical engineering and computer science from UC Berkeley.
Ryan Vanderwerf is a partner solutions architect at Amazon Web Services. He previously did Java virtual machine-focused consulting and project development as a software engineer at Object Computing, Inc. (OCI) on the Grails and Micronaut team. He was chief architect and director of products at ReachForce, with a focus on software and system architecture for AWS Cloud software-as-a-service (SaaS) solutions for marketing data management. Ryan has built several SaaS solutions in several domains, including financial, media, telecom, and e-learning, since 1996.
Aaron (Ari) Bornstein is an AI researcher with a passion for history, engaging with new technologies, and computational medicine. As head of developer advocacy at Grid.ai, he collaborates with the machine learning community to solve real-world problems with game-changing technologies that are then documented, open-sourced, and shared with the rest of the world.
<->
Content here
Webinar: Description here
Date & Time: Wednesday, April 22, 2018