ABOUT THIS WEBINAR
Join Martin Isaksson, CEO of PerceptiLabs, and Bill Wright of Red Hat for a discussion on the impact of software infrastructure on AI modeling, deployment and continuous training. The PerceptiLabs visual AI modeling platform, the Open Data Hub reference architecture and Red Hat OpenShift will be used as practical examples of an optimized AI infrastructure.
FEATURED PRESENTERS
Bill Wright – Head of AI/ML and Intelligent Edge for Global Verticals and Accounts, Red Hat
Bill Wright leads worldwide business development and technical strategy for AI/ML and Intelligent Edge for the Global Accounts and Verticals group at Red Hat. He started Red Hat’s AI Network initiative to advance the use of AI and machine learning in mobile network and edge infrastructures. He is a member of the ETSI ENI industry specifications group, with which he works to standardize the use of AI/ML techniques in mobile network management systems.
He previously served as Director of Product Management with Affirmed Networks, where he led the company’s efforts in virtualization, management tools, and security planning. Before then, he worked at VMware, where he collaborated on pioneering research with technology partners and Tier 1 operators in the use of virtualization for network functions. This research culminated in a first-ever production network function virtualization deployment at a multinational mobile operator, effectively kickstarting a new multibillion-dollar market.
Václav Pavlín – Architect, Office of the CTO, Red Hat
Václav Pavlín is an architect with the Office of the CTO team at Red Hat. There he leads the Open Data Hub project, which aims to enable and integrate tools for AI/ML workloads on OpenShift. He has extensive experience with building, deploying, and managing containerized applications on OpenShift and Kubernetes, as well as with container technologies in general. He is actively contributing to Kubeflow, JupyterHub, and other Open Source projects.
Martin Isaksson – CEO and Co-Founder, PerceptiLabs
Martin Isaksson is CEO and Co-Founder of PerceptiLabs, a startup focused on making machine learning easy by accelerating the workflow and advancing explainability of machine learning.
Martin received his M.Sc. in Robotics/Artificial Intelligence from the Royal Institute of Technology and UPC Barcelona in 2017.
In the summer of 2017, Martin presented a deep neural network that he built for segmentation of muscular stem cells in microscopy images at the first-ever Swedish Symposium on Deep Learning (SSDL 2017).
Robert Lundberg – CTO and Co-Founder, PerceptiLabs
Robert Lundberg is the CTO and Co-Founder of PerceptiLabs, a startup focused on making machine learning easy by accelerating the workflow and advancing explainability of machine learning. PerceptiLabs created a visual modeling tool that gives developers full transparency into the process of machine learning models’ development.