Webcast: Enterprise AI: Creating the Smart Data Center for Deep Learning

Start Date:3/5/2019

Start Time:10:00 AM CST

Duration:30 minutes


AI (Artificial Intelligence) isn’t sci-fi, and for organizations to gain competitive advantages it demands transforming the data center to process the enormous data compute required for machine learning (ML) and deep learning (DL). Hear from our guest industry analyst Mike Gualtieri on why AI applications require massively parallel compute ability to enable business use cases like risk management, product bundling or fleet management. Learn from our panel of experts why it’s important and achievable that you pursue exascale computing, helping to enable the fastest time to insight.

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Mike Gualtieri

VP, Principal Analyst Serving Application Development & Delivery Professionals

Mike's research focuses on software technologies, platforms, and practices that enable technology professionals to deliver digital transformations that lead to prescient digital experiences and breakthrough operational efficiency. His key technology coverage areas are AI, machine learning, deep learning, AI chips and systems, digital decisions, streaming analytics, prescriptive analytics, big data analytical platforms and tools (Hadoop/Spark/Flink; translytical databases), optimization, and emerging technologies that make software faster and smarter. Mike is also a leading expert on the intersection of business strategy, artificial intelligence, and innovation.

Mike provides technology vendors with actionable, fine-tuned advisory sessions on strategy, messaging, competitive analysis, buyer-persona analysis, market trends, and product road maps for the areas he directly covers and adjacent areas that wish to launch into new markets or use new technologies.

Mike is a recipient of the Forrester Courage Award for making bold calls that inspire leaders and guide great business and technology decisions.

Scott Soutter

Portfolio Offering Manager, PowerAI

Scott Soutter is a global offering manager with the IBM Cognitive Systems business, with responsibility for solutions in deep learning and artificial intelligence and high-performance computing. Within this role, Scott has helped governmental agencies, scientific and research communities, and commercial customers incorporate novel approaches to applied artificial intelligence to the most complex compute problems globally. In the past two years, Scott has launched two products in to production, with multi-million dollar profitable revenue results: PowerAI, the fastest and most advanced deep learning platform for model development, and PowerAI Enterprise, the most advanced platform to bring applied artificial intelligence in to production.

Previously, Scott was a global technical sales manager with IBM’s Software Defined Infrastructure business, where he led a team of global solution architects with expertise in cluster computing, high-performance filesystems, and complex industry architectures. During his 20-year career with IBM, Scott has been a global cluster sales executive for high-performance and technical computing, a technical architect for IBM Unix systems sales, and a business development executive who helped build one of IBM’s largest joint design systems customer.

As part of the team that helped establish a multi-year joint technology alliance with Cisco Systems, Scott was awarded the IBM Louis V. Gerstner Chairman's Award.

Scott holds a BA in anthropology and an MBA with a focus on organizational change. Scott resides in Portland, Oregon, with his family. In his spare time he enjoys fly fishing, amateur photography, and recreational swimming.

Nick Werstiuk

Director, Offering Management Spectrum Computing

Nick Werstiuk is the Director of Offering Management for the Spectrum Computing portfolio within IBM Cognitive Systems.

In the Offering Management role, he and his team are responsible for the vision, strategic direction and roadmap across the Software Defined Computing portfolio of offerings, driving the expansion from HPC into AI and Deep Learning and Cloud based offerings. Since joining Platform Computing in 2004 he has worked on a wide range of new product, business development and strategic initiatives, identifying growth opportunities and strategies for Platform Computing.

Nick’s career in enterprise technology spans more than 20 years, having spent the first 10 years of his career in telecom network infrastructure, holding a range of Product Management, Marketing, and Engineering positions at Bell Canada. Over the last 15 years, Nick has helped to drive the product commercialization and the customer adoption of new products at several software companies including Platform Computing, divine Inc, eAssist Global Solutions, and Delano Technology Corp.

Nick graduated, with Honours, from the University of Toronto, with a Bachelor of Applied Science in Electrical Engineering.

Aaron Smith

NA Product Marketing Manager, Power Systems

Webcast: Enterprise AI: Creating the Smart Data Center for Deep Learning
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