Sep 9–12, 2019

Executive Briefing: Similar but different—Delivering software with AI

Jana Eggers (Nara Logics)
11:05am11:45am Thursday, September 12, 2019
Location: LL21 A/B
Average rating: *****
(5.00, 1 rating)

Level

Intermediate

Just as we’ve gotten settled into best practices for software design and delivery across a variety of platforms (desktop, web, mobile), we get another wrench thrown in the works: AI.

Jana Eggers explores what happens when you start adding AI to great software by covering six key features of software development that are similar when adding AI, six that are different, and how to adjust. The six similarities she’s seen are the need for MVP focus; PM, PD, and UX required; know thy user; it’s more complicated than you expect; success means constant evolution; and hype is distracting. The six corresponding differences are data leads in MVP definition (versus ideas); diversity is required; help the user know themselves; it’s complex; success (often) means the business is evolving with the software; and hype is masking reality.

Prerequisite knowledge

  • Experience with software design to delivery (useful but not required)

What you'll learn

  • Gain a framework for thinking about how your organization needs to stay the same and how it needs to change for delivering software with AI
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.

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