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

It's the organization, stupid.

Jana Eggers (Nara Logics)
11:05am–11:45am Wednesday, September 20, 2017
Impact on business and society
Location: Franciscan AB Level: Non-technical
Secondary topics:  Case studies, Enterprise adoption
Average rating: ****.
(4.50, 2 ratings)

Prerequisite Knowledge

  • Familiarity with the complexities of large-scale tech projects

What you'll learn

  • Understand how to launch a thriving AI project that actually delivers results the enterprise cares about


Because enterprise AI is still in its infancy, we are focused on the technology itself more than the successful implementation, integration, and iteration in the enterprise. Having spent the last three years working with Global 200 customers to get AI systems into production, Jana Eggers can tell you that the technology is (finally) ready—but the organization is not. Jana discusses the top five reasons orgs struggle—data silos, the tech-business gap, driving innovation, resistance to change, and the hype-reality gap—and shares ideas on how to overcome them.

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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09/11/2017 7:36am PDT

Having focused extensively and for many year, on Human-Machine Teaming (HMT)… would like to hear your thoughts on load-balancing of respective humans and machines across an organization or network. The extreme nodes are either all human or all machine, but what do the blended nodes look like? What are your pro-rata thoughts?