AI Micro-Summit

Join us for a series of expert panelist discussions as they address the key considerations when adopting and deploying a sustainable IT infrastructure to support your Artificial Intelligence or Machine Learning strategies. Each session will focus on business and planning issues you will be facing as our experienced speakers provide essential recommendations.

The AI Micro-Summit covers each topic in 30-minute sessions you can access remotely. Register today for all the sessions or select the ones you are most interested in attending.

Hear from the Experts in AI

Learn about approaches to optimize your IT infrastructure strategy to support AI initiatives in your company.

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December 1 at 1:00PM PT

How to Recognize and Avoid IT Roadblocks to your AI Deployment Strategy

Tony Paikeday, Sr. Director AI Systems, NVIDIA—In this discussion between Cyxtera and NVIDIA, we will discuss how to work with the teams responsible for mechanizing AI developments. Data Scientists are focused on data acquisition, business understanding and initial modeling. IT/DevOps wants a platform that eliminates infrastructure design complexity, delivers predictable performance at scale, and enables a continuous AI pipeline that takes prototype models into production. Learn how you can streamline the AI develop-to-deploy workflow while addressing the immediate needs expressed by Data Scientists and the manageability required from IT. 

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Upcoming in the Series

Dec8

How to Manage Change and Expenses for AI IT Deployments

Shawn Stephens, Solutions Architect, Enterprise/HPC/AI Solutions, Sirius—In this discussion between Cyxtera and Sirius, we will address the costs of AI IT infrastructure and the advantages of the aaS approach in terms of speed of deployment, impact on the IT organization and managing CapEx v. OpEx.

Summary

Dec15

How to Prepare Production Environments for AI IT

Shawn Stephens, Solutions Architect, Enterprise/HPC/AI Solutions, Sirius—In this discussion between Cyxtera and Sirius, the team will address the physical, connectivity and security preparations any organization should plan for when deploying their AI IT infrastructure.

Summary

Dec22

What Does Success in Enterprise AI Look Like?

Tony Paikeday, Sr. Director AI Systems, NVIDIA—In this discussion between Cyxtera and NVIDIA, we will explore how AI has moved away from the esoteric and theoretical, and into the mainstream, discussing pragmatic use cases that businesses have successfully employed to drive better customer experiences, improved clinical outcomes, streamlined operations, and reduced costs.

Summary

Previous Conversations

Choosing the Right Infrastructure Strategy for Scaling AI
Tony Paikeday, Sr. Director AI Systems, NVIDIA

Deploying AI—Walking the Walk
Amrinderpal Oberai, Director of Data and AI, Groupware Technology

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Our Experts

Shawn Stephens

Shawn Stephens

Solutions Architect, Enterprise/HPC/AI Solutions, Sirius

Biography

Shawn Stephens

Solutions Architect, Enterprise/HPC/AI Solutions, Sirius

Shawn Stephens has more than 23 years of experience focused on designing high-performance computing, enterprise data center, and Artificial Intelligence solutions. Throughout his career he has worked with major commercial accounts in nearly every segment and every region across the country. Before joining Sirius, he was with Cray, Inc. designing large-scale Supercomputing solutions and working on several key AI initiatives. In August 2019, Shawn completed the MIT Sloan Artificial Intelligence- Implications for Business Strategy Program.

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Tony Paikeday

Tony Paikeday

Sr. Director AI Systems, NVIDIA

Biography

Tony Paikeday

Sr. Director AI Systems, NVIDIA

Tony Paikeday is Senior Director of AI systems at NVIDIA, responsible for the go-to-market for NVIDIA’s DGX portfolio of AI supercomputers. In his role, Tony helps enterprise organizations infuse their business with the power of AI with infrastructure solutions that enable insights from data. Tony was previously with VMware, responsible for bringing desktop and application virtualization solutions to market, as well as key enabling technologies including GPU virtualization and software-defined data center. Prior to joining VMware, Tony was at Cisco, building its data center solutions. Prior to Cisco, he held business development roles working with enterprise and service provider accounts, after having started his career as a Manufacturing Engineer for Ford Motor Company. Tony holds an engineering degree from the University of Toronto.

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Amrinderpal Oberai

Amrinderpal Oberai

Director of Data and AI, Groupware Technology

Biography

Amrinderpal Oberai

Director of Data and AI, Groupware Technology

Amrinderpal Oberai is Director, Data & AI at Groupware Technology. He is in a leadership role responsible for strategy, roadmaps, requirements, validation and Benchmarking of DL, ML and Analytics Software Products in its fast-growing Data & AI practice. Previously, he was a Sr. Director of Cloud Operations at Arlo Technologies leading a globally diverse team of engineers and technologists responsible for supporting their world class security products running on global AWS infrastructure.

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Holland Barry

Holland Barry

Sr. VP and Field CTO, Cyxtera

Biography

Holland Barry

Sr. VP and Field CTO, Cyxtera

Holland Barry is a technology executive with over two decades of experience in a variety of technology-focused roles. His expertise spans the spectrum of traditional IT infrastructure, public + private cloud, automation, and network + cloud security. Holland has worked with public and private sector companies, across all major verticals.

Holland is currently focused on Cyxtera’s technology alliances, enterprise bare-metal compute platform, and AI/ML/DL.

Prior to Cyxtera, Holland was the CTO of Catbird Networks and an Enterprise Technologist at Dell.

Holland currently resides in Santa Cruz, CA with his wife and two children.

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