Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

Lessons learned building an AI company from the ground up

Justin Fier (Darktrace)
4:00pm–4:40pm Wednesday, May 2, 2018
AI Business Summit, AI in the Enterprise
Location: Sutton South
Average rating: ****.
(4.00, 4 ratings)

Who is this presentation for?

  • Technical AI experts, venture capitalists and investors, and anyone interested in getting AI applications to work in the real world

What you'll learn

  • Learn how to build an AI technology that will work at scale and across a diverse set of businesses
  • Explore real-world AI use cases, techniques to make AI accessible to individuals with limited expertise, and lessons learned from four years of AI R&D and AI deployments


Companies in all industries have begun implementing AI, with varying success. Although AI technology seems to be everywhere, implementing AI in practice is a real challenge. The technology needs to be scalable, trusted by the humans that use it, and easily accessible for those with limited AI expertise. Nicole Eagan shares the unique insights on building practical and successful AI applications Darktrace has gained from its 4,000+ deployments.

A successful AI application needs to be scalable, install quickly, learn on the job, and not require ongoing tuning of AI models. Companies can’t assume customers have any prior expertise deploying AI on their businesses networks. Additionally, you needn’t worry about being a purist when developing pragmatic AI applications. Instead, embrace a mix of AI algorithms and techniques, including supervised and unsupervised machine learning and deep learning.

Once the AI is developed, the next challenge is bringing the technology to the market and getting people to trust it. Providing visibility into these applications is one way to build human’s trust in AI. Darktrace has developed techniques—like 3D visualization and human confirmation mode—that work to build this trust. With no existing training dataset in existence, Darktrace created a unique differentiated approach that sets the company apart from the more common training dataset applications that puts AI at the core of its technology and business, not as an add-on feature.

Photo of Justin Fier

Justin Fier


Justin Fier is the director of cyber intelligence and analytics at Darktrace. With over 10 years of experience in cyberdefense, Justin has supported various elements in the US intelligence community, holding mission-critical security roles with Lockheed Martin, Northrop Grumman Mission Systems, and Abraxas. He is a highly skilled technical officer and a specialist in cyber operations across both offensive and defensive arenas.