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Leadership Seminar Deep Learning & Artificial Intelligence

A consortium of Case Western Reserve University, Soothsayer Analytics & INSOFE offer this unique program designed to help you establish a Data Science Center of Excellence.

This program is designed exclusively for executives and business leaders that seek a competitive edge for their organizations by leveraging the most powerful tools of Business Intelligence and Data Science.

After this seminar you will be able to lead your organization into the next frontier of design thinking, sound strategy and business intelligence. You will be able to learn from cases in which companies successfully implemented Artificial Intelligence and Deep Learning solutions and identify the areas of growth and opportunity in your own organization.

About the Seminar

Our 1-Day Deep Learning & Artificial Intelligence Leadership Seminar is designed to teach Decision Makers the frameworks, tools, and strategies required to ask the right questions, establish proper processes, scope projects, and build high-functioning Data Science teams. This is a domain-agnostic seminar designed to demystify the subject and provide strategic insight, so no technical background is required.

Goal

The goal of this seminar is to demystify the subject and provide strategic insight, so no technical background is required. This one-day program is designed exclusively for executives and business leaders and will provide a foundation for Data Science success.

You will be exposed to several use cases where organizations successfully implemented A.I. & Deep Learning solutions by combining technical expertise, design thinking, sound strategy, and agile methodologies. You will then harness what you learn to create an initial Data Science blueprint/roadmap for your organization.

Why Attend?

Attending this seminar will provide you the ability to methodically answer questions such as:

  • How will my organization benefit from A.I. & Deep Learning?
  • What new products, solutions, services, and processes can we create to revolutionize our business and performance?
  • How do I democratize these new technologies?
  • How do I build an internal center of excellence and/or properly vet and interact with external partners?
  • How do I minimize organizational friction and maximize utility while instituting these disruptive innovations?
Who Should Attend?

Senior executives with a P&L that want to harness A.I. & Deep Learning to gain a competitive advantage, predict the future, and revolutionize business processes. This is a domain-agnostic seminar that is ideal for leaders of any size company looking to disrupt the status quo.

Benefits
  • Learn what A.I. & Deep Learning can and cannot do for your organization.
  • Learn how to prepare your organization to effectively embrace A.I. & Deep Learning and drastically reduce the learning curve.
  • Learn how to apply design thinking, sound strategy, and agile methodologies to develop demonstrably valuable A.I. & Deep Learning solutions.
  • Network with peers from diverse industries and functions to formulate fresh ideas.

Mentor & Professor

Dr. Dakshinamurthy V Kolluru

PhD from Carnegie Mellon University, USA

Dr. Kolluru holds a Ph.D. in Materials Science from Carnegie Mellon, started his career as a Rocket Scientist, and founded the #2 Data Science certificate program (INSOFE) in the world. In addition to being a globally recognized Data Science academician, he has over 2 decades of experience in research, training and consulting for companies like Abercrombie, Dun & Bradstreet, Ford, Deloitte, HP, Philips, Honeywell, D E Shaw & Co., Broadridge Financials, Microsoft, Vistakon (a Johnson and Johnson company) & many more.

Our world-renowned faculty has built hundreds of A.I. & Deep Learning solutions and Data Science Centers for several of the world’s largest companies and leading startups. Such experience has greatly influenced this seminar and enabled us to condense years of learning into a manageable time commitment that will not distract from your ongoing initiatives.

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