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April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

Artificial intelligence strategy: Delivering deep learning

Chris Benson (Lockheed Martin)
4:50pm–5:30pm Tuesday, May 1, 2018
Implementing AI, Interacting with AI
 Location: Sutton North/Center
Average rating: ***..
(3.00, 2 ratings)
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Who is this presentation for?

  • CTOs, CDOs, and CAIOs

Prerequisite knowledge

  • A high-level understanding of modern AI approaches, especially deep learning

What you'll learn

  • Learn how to create a strategy for delivering deep learning into production
  • Understand how deep learning is integrated into a modern enterprise architecture
  • Explore AI implementation strategies, the prerequisite data strategies that specific AI strategy depend upon, and the trade-offs that each approach implies

Description

Google CEO Sundar Pichai asserts that while the last decade was about mobile first, the next decade will be about AI first. Within the worlds of artificial intelligence and machine learning, deep learning is where a continual stream of the most exciting advancements are being made, from self-driving cars, self-organizing drone swarms, computer vision, and conversational interfaces to advanced industrial robots, speech recognition, and emotion recognition. It is amazing AI that works today, and it is the driving force behind the current AI/ML revolution.

Deep learning will impact nearly every industry on the planet, and there will be countless opportunities to take advantage of this technology. Over the next decade, deep learning models will become common microservices within enterprises architectures. Software engineers will be expected to design, develop, and deploy deep learning microservices into production.

However, reaping the benefits of deep learning is hard to achieve. Success requires a well-considered AI strategy that accommodates business drivers, data acquisition and preparation, model architecture, algorithm selection, robust cloud infrastructure, service integration, and delivery mechanisms. Chris Benson walks you through creating a strategy for delivering deep learning into production and explores how deep learning is integrated into a modern enterprise architecture. Along the way, Chris analyzes various AI implementation strategies, the prerequisite data strategies that specific AI strategy depend upon, and the trade-offs that each approach implies, drawing on real-world examples from Honeywell, a global leader in applying artificial intelligence to advanced robotics and the internet of things.

Photo of Chris Benson

Chris Benson

Lockheed Martin

Chris Benson is Principal Artificial Intelligence Strategist at Lockheed Martin – the world’s largest defense contractor – where he leads AI Ethics strategy for combat and non-combat missions in every environment from the bottom of the ocean to outer space, and everywhere in between.

He was previously Chief Scientist for Artificial Intelligence & Machine Learning at Honeywell SPS, where he created Honeywell’s very first dedicated AI team.

Chris is Co-Host of the Practical AI podcast, which reaches thousands of AI enthusiasts each week, and is also the Founder & Organizer of the Atlanta Deep Learning Meetup – one of the largest AI communities in the world. Known for his passion, energy, and clarity, Chris is among the AI community’s most in-demand professional keynote speakers.

Chris and his wife Joanne are active in animal rescue and wildlife rehabilitation, and founded the Animal Institute, a 501©3 charitable nonprofit organization that strives to make strategic improvements in animal rights issues through advanced technology innovations (like artificial intelligence), educational programs, and advocacy for non-partisan, no-kill, vegan legislation and regulation.

His opinions are his own, and do not reflect the official positions of Lockheed Martin.