Jana Eggers often tells people, “If you don’t want to learn, don’t use AI.” The point of using AI is to find new ways of getting more from our data. However, we often find ourselves just using it to replicate what humans would have done—sometimes better, sometimes just more efficiently. Jana covers a new angle for AI: how it can support, possibly even drive, you to being a learning organization.
Peter Senge first coined the term “learning organization” in the ’90s. The basic idea is that an organization that learns can consistently transform itself to gain competitive advantage. The five characteristics of a learning organization are: systems thinking, personal mastery, mental models, shared vision, and team learning. Jana reviews the benefits of a learning org and details how to build an AI program that can support you in achieving those benefits.
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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Are there any statistics you can draw from your work on drawing more insight from data using AI? Might there be a metric that helps compare per-AI use with post-AI use?