Discover how to optimize DevOps and enhance automation capabilities with machine learning

Previous Speakers include:

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Marios-Eleftherios Fokaefs

Assistant Professor

École Polytechnique de Montréal

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Aaron Blythe

Enterprise Architect

NAIC

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Vilas Veeraraghavan

Director of Engineering

Walmart Labs

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Omari S. Felix

DevOps Engineer

Capital One

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Haresh Chudgar

Software Engineer

Spotify

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Chandni Sharma

Cloud Engineer

Google

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Boshika Tara

Software Engineer

Capital One

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Julia Kroll

Data Engineer

Amazon Alexa

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Nicola Montecchio

Music Information Retrieval Scientist

Spotify

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Cory McLean

Senior Software Engineer

Google Brain

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Alan Lu

Director of Engineering & Applied Science

eBay

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Courtney McGill

Lead Machine Learning Engineer

Bank of New York Mellon

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Amir Shevat

Director of Developer Relations

Slack

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David Klein

Chief AI Developer

Conservation Metrics

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Bernhard Hientzsch

Director, Head of Model, Library, and Tools Development for Corporate Model Risk

Wells Fargo

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Adam McMurchie

Head of DevOps

Barclays

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Pooyan Jamshidi

Assistant Professor

University of South Carolina

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Diego Oppenheimer

Founder & CEO

Algorithmia

More Speakers Coming Soon
View all Speakers

New for 2019

  1. Deep Dive sessions to facilitate interactive discussions, practical workshops, & technical labs
  2. Event App to meet fellow attendees and personalize your schedule
  3. Multiple tracks to encourage cross-industry learnings & collaboration
  4. In-depth interviews with speakers available to watch again online
  5. Facilitated networking opportunities to make new connections
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Machine Learning for DevOps Summit

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Topics we cover

Machine Learning

Predictive Analytics

Troubleshooting

Automation

Detect Anomalies

Increase collaboration

Architectural Practices

Pattern Recognition

Machine Learning

Predictive Analytics

Troubleshooting

Automation

Detect Anomalies

Increase collaboration

Architectural Practices

Pattern Recognition

Why Attend

Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.

  • Speakers

    How can you leverage Machine Learning

    The adoption of machine learning is being used more & more to improve DevOps practices. Examples include: troubleshooting and triage analytics; preventing production failures; ensuring application delivery; managing production and alert storms.

  • Discover

    Best practices & examples

    Discover best practices when implementing ML tools to DevOps, including the preparation & monitoring phases, to ultimately deliver more value to your business through better automation, more efficient problem solving, reduced operational complexity, and increased collaboration.

  • Network

    Expand Your Network

    A unique opportunity to interact with industry leaders, developers, data scientists, DevOps specialists & IT decision makers leading the ML revolution. Learn from & connect with 200+ industry innovators sharing best practices to implement machine learning into DevOps.

  • Join

    Join the discussion

    • 30 speakers
    • 200 leading technologists & innovators
    • Group brainstorming sessions
    • Interactive workshops
    • 7+ hours of networking
    • Access to all the filmed presentations
    • Discover technology shaping the future
  • Download

    Downloads

    View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

Companies Attending

Netflix
Capgemini
Shutterstock
Andarko Petroleum
Toyota Connected
TD Ameritrade
Amazon
Apple
Google
facebook
Microsoft
sony
Target
Fidelity Investments
Walmart

Summary

The 5th Annual Edition of the San Francisco Deep Learning Summit

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Presentation

Frontiers of Computer Vision: Beyond Accuracy from Sara Hooker, AI Resident, Google Brain

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Interview

Cathy Pearl, Head of Conversation Design Outreach at Google

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Regular Partners Include

Accentureusa.001
Algorithmia.001

Exhibitors & Startups include:

Cloudminds.001
Osmosis ai.001
Pipeline ai.001

Media Partners & Press

Startuptech unleashed
Xprize.001
Nanalyze logo
Data incubator .001
Topbots .001
Venturebeat logo
Forbes.001
Atelier.001
7wdata.001
Pl synced.001
F6s.001
Tractica.001
Sv business journal.001
Sv forum.001
Mit tech review.001
Wired.001
Inside big data.001
Events ai.001
Kd nuggets.001
Cognilytica
Nexchange
Techbeacon.001

As Featured In

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Machine Learning for DevOps Summit

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