Discover how to optimize DevOps and enhance automation capabilities with machine learning
Join the conversation
#reworkDEVOPS
19 - 20 September 2019
Machine Learning for DevOps Summit
London
Transform DevOps with Data Intelligence
Get your ticketPrevious Speakers include:
Bernhard Hientzsch
Director, Head of Model, Library, and Tools Development for Corporate Model Risk
Wells Fargo
More Speakers Coming Soon
New for 2021
- Deep Dive sessions to facilitate interactive discussions, practical workshops, & technical labs
- Event App to meet fellow attendees and personalize your schedule
- Multiple tracks to encourage cross-industry learnings & collaboration
- In-depth interviews with speakers available to watch again online
- Facilitated networking opportunities to make new connections
Topics we cover
Machine Learning
Predictive Analytics
Troubleshooting
Automation
Anomaly Detection
Collaboration
Architectural Practices
Pattern Recognition
Machine Learning
Predictive Analytics
Troubleshooting
Automation
Anomaly Detection
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.
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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.
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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.
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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.
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Who Should Attend
- Chief Data Scientists
- CTOs
- IT Decision-Makers
- Developers
- ML Engineers
- Heads of Digital Transformation
- DevOps Managers
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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
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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.
Regular Attendees Include
Summary
Jeff Clune, Team Lead at OpenAI
Presentation
Dawn Song, Professor of Computer Science at UC Berkeley
Interview
Shalini Ghosh, Director of AI Research at Samsung Research
Regular Partners Include
Exhibitors & Startups include:
Media Partners & Press
As Featured In
