Machine Learning: A Pragmatic Approach to Adoption

Machine Learning: A Pragmatic Approach to Adoption
This invaluable webinar will also cover:
  • What is Machine Learning/AI?
  • What constitutes a solid ML use case?
  • What ML tools are currently out there?
  • What does a data scientist actually do?
  • What is the best way to get started?

If you’re interested in learning how Machine Learning can maximize your organization’s potential through faster and smarter decision making but aren’t sure how to start, you’re in luck!

Get started with Machine Learning with our ML Strategy Kickstart:

://bit.ly/2K6c5An

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Presenters:

Director, Cloud Solutions and Microsoft MVP

Ned Bellavance is an IT professional with over 15 years of experience in the industry. Starting as a humble helpdesk operator, Ned has worked up through the ranks of systems administration and infrastructure architecture, and in the process developed an expansive understanding of IT infrastructure and the applications it supports. Currently, Ned works as the Director of Cloud Solutions for Anexinet in the Philadelphia metropolitan area, specializing in Enterprise Architecture both on-premise and in the cloud. Ned holds a number of industry certifications from Microsoft, VMware, Citrix, and Cisco. He also has a B.S. in Computer Science and an MBA with an Information Technology concentration.

Michael Golub – Senior Vice President Analytics and Machine Learning

High-energy leader of technology and methodology transformations. Over twenty-five years of experience driving large-scale solution design and delivery initiatives using emerging tools and techniques. Fosters a learning environment, with a history of bridging the gap between business and technology concerns in order to bring about positive and lasting change for organizational effectiveness and enterprise competitive advantage.

Specialties: Technical and Organizational Modernization / Program Management / Solution Development / Advanced Analytics / Agile Methodologies / Process Improvement