Artificial Intelligence & Machine Learning 101

Beyond the Hype: A Practical Approach to Understanding AI and Machine Learning Technologies to Optimize Business Processes

January 25-26, 2018
The Standard Club
Chicago, IL

March 15-16, 2018
The Harvard Club
Boston, MA

#IENAIML


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.


Key topics will include


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

Chicago
  • 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
Boston
  • Benefit from real world use cases: Understanding the opportunities and limitations of AI
  • Get the latest on deep learning and artificial Neural networks
  • Understand speech recognition technology and state-of the-art applications
  • Learn what it means to “improve” your data
  • Hear about common risks and mistakes in the integration process
  • Learn how to evaluate technology solutions and vendors for your business

Who will you meet?


  • 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 Learning Objectives

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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Location


The Standard Club

320 South Plymouth Court
Chicago, IL 60604
(312) 427-9100

Visit hotel website

Harvard Club

374 Commonwealth Ave
Boston, MA 02115
(617) 536-1260

Visit hotel website

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