Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.

In-Person Training
AI for Managers

Michael Li (The Data Incubator), Russ Martin (The Data Incubator)
Monday, April 15 & Tuesday, April 16,
9:00am - 5:00pm
AI Business Summit
Location: Clinton
Secondary topics:  AI in the Enterprise

Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register for a Platinum or Training pass; does not include access to tutorials on Tuesday.

This course is a non-technical overview of AI and data science. You’ll learn common techniques, how to apply them in your organization, and common pitfalls to avoid. Though this course, you’ll pick up the language and develop a framework to be able to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making.

What you'll learn, and how you can apply it

Upon completion of this course, participants will be able to apply their knowledge of data science to:

  • Identify and prioritize which projects a company should pursue
  • Identify potential pitfalls in projects before they start
  • Communicate business objectives to data professionals
  • Understand the business implications of technical decisions and be able to assess the risk-reward trade-offs of different projects
  • Translate data science insights for business professionals and decision makers

This training is for you because...

This module is aimed at business professionals who want to learn about big data. This course is for you if: 1. You work with data scientists or analysts regularly 2. You manage teams or projects with a significant data component 3. You find yourself translating between data and management

Prerequisites:

None

Hardware and/or installation requirements:

N/A

Outline:
Introduction to AI and Data Science

  1. Terms and definitions: what does machine learning mean?

  2. Historical context and present day

  3. Drivers for AI and data science

  4. What’s so different about big data?

  5. AI is eating the world

  6. Making AI practical

Algorithms and Techniques

  1. Data formats, databases, and schemas

  2. Evaluating model performance and validating models

  3. Terminology: regression, classification, supervised and unsupervised

  4. Advanced models: random forests, support vector machines, deep learning, neural

    networks

Industry Use Cases

  1. Finance

  2. Healthcare

  3. Industrial

  4. Technology 

AI Within the Organization

  1. Maturity levels for AI

  2. Evaluating good projects for AI

  3. Build vs. Buy and Hire vs. Train

  4. Skills, tools, platforms needed for AI

  5. Structuring Data and AI Initiatives within your organization: successful and cautionary

    tales

Common Pitfalls and Fallacies in AI and Data Science

  1. AI and data science in the headlines: the good, the bad, and the ugly

  2. Legal and regulatory implications

  3. Litigation and liabilities of bad data science

  4. Common fallacies in data science and AI

  5. Lying with statistics and how to spot it

About your instructors

Photo of Michael Li

Michael Li is the founder of The Data Incubator, an elite fellowship program that trains and places data scientists and quants with advanced degrees (PhD or masters) into industry roles. Formerly, Michael served as a data science lead with Foursquare and with Andreessen Horowitz. He holds PhD in Math from Princeton University.

Russell Martin is a Data Scientist in Residence at The Data Incubator. He received his PhD in Applied Mathematics from the Georgia Institute of Technology. Russ lived and worked in the UK for seventeen years, including at Warwick University and the University of Liverpool, where he taught in the Department of Computer Science. As a Data Scientist in Residence, Russ instructs Fellows in our Data Science Fellowship, teaches online courses, and leads trainings with our corporate partners.

Conference registration

Get the Platinum pass or the Training pass to add this course to your package. .

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