Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

AI for business

Jana Eggers (Nara Logics)
9:00am–12:30pm Monday, September 18, 2017
Implementing AI
Location: Imperial B Level: Intermediate
Secondary topics:  Case studies, Enterprise adoption
Average rating: ***..
(3.43, 14 ratings)

Prerequisite Knowledge

  • Experience implementing large-scale software or IT projects
  • A good understanding of the current state of AI or familiarity with algorithms

What you'll learn

  • Explore the gestalt of AI for business


While the past few years have seen a dramatic growth in the number of for-profit enterprises attending conferences like NIPS and ICLR, AI remains a heavily academic-centric field. Now is the time for us to set a framework for how to move AI from the classroom, from the research lab, and from the “horizon 3” innovation team into the mainstream: large-scale core business operations.

Jana Eggers demonstrates how to deliver on an AI project for business, walking you through defining your project, setting expectations, assembling your team, hunting for data, assessing capabilities, implementing it, and rinsing and repeating.

Topics include:

  • Where can AI flourish and where does it flounder (as well as what is hype and what is reality)?
  • How is AI different from regular software development or data science projects?
  • Selecting your project
  • Choosing your weapons (i.e., state of the art in algorithms and the data required)
  • How to judge whether you’re being Agile or dangerously careening off an untrod road
  • Detecting and managing the problems that will occur
  • Making sure you and your machine are actually learning
Photo of Jana Eggers

Jana Eggers

Nara Logics

Jana Eggers is president of Nara Logics. A tech executive focused on products and the messages surrounding them, Jana has started and grown SMBs and led large organizations within enterprises. She supports, subscribes to, and contributes to customer-inspired innovation, systems thinking, Lean analytics, and autonomy, mastery, and purpose-style leadership. Jana’s software and technology experience includes technology and executive positions at Intuit, Blackbaud, Basis Technology (internationalization technology), Lycos, American Airlines, Los Alamos National Laboratory (computational chemistry and supercomputing), Spreadshirt (customized apparel ecommerce), and acquired startups that you’ve never heard of. Jana is a frequent speaker, writer, and CxO educator on innovation, change, and technology. She holds a bachelor’s degree in mathematics and computer science from Hendrix College in Arkansas and pursued graduate studies in computer science at Rensselaer Polytechnic.

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09/18/2017 5:25am PDT

Can we download the presentation slide?

Brian Iinuma | PRESIDENT
09/17/2017 10:45am PDT

Will you have examples of business use cases in your tutorial? I am especially interested in applications of AI for 1) manufacturers and 2) sales and marketing.
Thanks, Brian

Picture of Jana Eggers
Jana Eggers | PRESIDENT
09/14/2017 3:11pm PDT

In addition to the below answer, I’ll add:

  • The Algorithmic CEO: — the coming future of a data-driven world from the CEO impact
  • Unilever Data Use Case Study: — what I love about this is that it shows how important the people organization is to data use
  • Good ML-PSA:
  • Listening to Customers: With any prod dev, it is critical to understand customers. ML/AI is no exception. I won’t cover this explicitly, but it is how I approach all PD. Note: Low quality video
Anita Rao | DIRECTOR
09/12/2017 7:47am PDT

Is there any prep work for this session or any material to read in advance
Any way we can get the content to read up in advance?

Picture of Jana Eggers
Jana Eggers | PRESIDENT
09/09/2017 8:40am PDT

Yuvi, thanks for asking. I’m excited to have you joining. Here’s my reading list for a sampling of important aspects based on your background in large IT projects, and basic understanding of ML:
4. (not about ML, but since you said large scale IT projects vs products; it is important to treat AI like a component of a product)

Looking forward to meeting! Jana

Yuvinder Kochar | MD, TECH & OPS
08/20/2017 11:53am PDT

Jana, This question is about the prerequisites for the session. While I have a strong background in implementing large scale IT projects, I only have very basic understanding of the current state of AI and algorithms. Can you please recommend some material for me to review before the session?
Thank you, Yuvi