Artificial Intelligence & Machine Learning 101. Chicago, January 25-26, 2018

AI in Healthcare Summit

Artificial Intelligence & Machine Learning 101: Chicago

January 25-26, 2018
The Standard Club | Chicago, IL
Beyond the Hype:  A Practical Approach to Understanding AI and Machine Learning Technologies to Optimize Business Processes​
Artificial intelligence and machine learning applications are now part of everyday life. Yet while the technology has moved out of academia and into business, an understanding of how this technology works remains firmly in the domain of its creators. The hype and excitement for what this tech can do is doing nothing to dispel the confusion. Designed for business people across industries, with and without technical backgrounds, this 101 course will provide a “how to” foundation for identifying opportunities to integrate machine learning technology into business processes and strategy.

Whether you’re directly involved in machine learning, need a refresher, or work in a position affiliated with AI and ML (HR, marketing, recruiting, PR), you will benefit from this conference. 


Who Should Attend?

  • Business leaders in Marketing, Operations, Procurement, Fulfillment, Finance, Accounting, Human Resources, Customer Service and Call Center in all industries who are considering implementing AI solutions to optimize business processes
  • Technical leaders in IT, Systems Development, Engineering, Data Science, as well as Devops Managers, Agile Project Managers, Network and Systems Architects, Full-Stack Developers, Cloud Architects, Web Administrators, Web Analytics Developers, Information Architects, Database Administrators and Product Managers in all industries who are tasked with integrating AI solutions into existing technology infrastructure
  • Professionals working with and supporting AI and Machine Learning development teams, including HR and talent acquisition staff, marketing, PR,etc. 

Key Topics

Key Learning Objectives

  • Beyond the hype: Understand the terminology and concepts of machine learning and AI
  • Differentiating between types of ML: knowing just a little math makes all the difference!
  • Applications of ML and how to identify opportunities in your own organization
  • Real prerequisites for implementing ML
  • What is and (is not) possible to do with messy real world datasets
  • How to build a roadmap for integrating AI into your organization’s needs
  • How to evaluate technology solutions and vendors for your business
  • Real world use cases:  Understanding the limitations of AI
Attendees will be able to:

  • Explain how the categories of ML technologies function at a high level
  • Understand the differences between major areas of machine learning
  • Determine which business problems are amendable to ML solutions
  • Understand how to structure a problem to make it ready for a machine learning specialist
  • Understand the inherent limitations of today’s hottest ML technologies
  • Identify what is and is not possible to do (currently) with messy real world datasets
  • Evaluate technology solutions to determine what’s hype and what’s not

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