September 26-27, 2016
New York, NY

How to scope an AI project

Jana Eggers (Nara Logics)
11:00am–11:40am Tuesday, 09/27/2016
Implementing AI
Location: 3D09 Level: Non-technical
Average rating: ****.
(4.50, 2 ratings)

Prerequisite knowledge

  • Familiarity with both large IT projects and software development practices
  • What you'll learn

  • Learn practical tips on scoping a project across time, money, and people
  • Understand the differences between AI projects and typical IT and data science projects
  • Description

    Jana Eggers has been implementing large-scale AI systems for the Global 200 for the last few years. These systems have solved problems ranging from classic product recommendations to fraud and anomaly detection to decision support systems across industries including banking, healthcare, ecommerce, government, pharma, and telco. Drawing on her experience, Jana covers the dos and don’ts of scoping a project across time, money, and people and compares and contrasts AI projects with typical IT and data science projects to explore the new aspects you need to consider as you add AI to your tech portfolio.

    Topics include:

    • Planning for cultural adaptation
    • How time spent in design pays off a hundredfold by the time you get to production
    • Garbage in, 100x garbage out
    • Preparing for a project that is more like R&D than IT
    • Coordination between many types of science and across complexities
    • Why you need dedicated, experienced AI people
    Photo of Jana Eggers

    Jana Eggers

    Nara Logics

    Jana Eggers is CEO of Nara Logics, a neuroscience-inspired artificial intelligence company providing a platform for recommendations and decision support. A math and computer nerd who took the business path, Jana has had a career that’s taken her from a three-person business to fifty-thousand-plus-person enterprises. She opened the European logistics software offices as part of American Airlines, dove into the internet in ’96 at Lycos, founded Intuit’s corporate Innovation Lab, helped define mass customization at Spreadshirt, and researched conducting polymers at Los Alamos National Laboratory. Her passions are working with teams to define and deliver products customers love, algorithms and their intelligence, and inspiring teams to do more than they thought possible.