Discover how to optimize the machine learning lifecycle & streamline your pipeline for better production
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#reworkAI
Part of the MLOps Summit San Francisco
15 - 16 June 2022
MLOps Summit
San Francisco
Create Efficient ML Workflows & Decrease Time to Production
Early Confirmed Speakers:
Hiranmayi Ranganathan
Machine Learning Specialist
Accelerating Therapeutics for Opportunities in Medicine (ATOM)
New This Year
Receive access to multiple stages to optimize cross-industry learnings & collaboration
Solve shared problems with pioneering AI attendees during round table discussions, Q&As with speakers or schedule 1:1 meetings
Attend technical labs, participate in practical workshops & meet investors during Deep Dive Sessions
Topics we cover
Machine Learning
Troubleshooting
Automation
Anomaly Detection
Collaboration
Architectural Practices
Cloud Computing
Data Efficiency
End-To-End Delivery
Machine Learning Pipelines
Machine Learning Workflows
Effective Training
Deployment
Machine Learning
Troubleshooting
Automation
Anomaly Detection
Collaboration
Architectural Practices
Cloud Computing
Data Efficiency
End-To-End Delivery
Machine Learning Pipelines
Machine Learning Workflows
Effective Training
Deployment
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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Extraordinary Speakers
Discover advances in MLOps from the world’s leading innovators. Learn from pioneering researchers in areas such as continuous delivery, pipeline efficiency, scaling model inference, team roles & managing ML model portfolios. Explore how these agile techniques can optimize ML workflows to minimize the costs of ML production, management & deployment.
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Discover Emerging Trends
The summit will highlight cutting-edge trends in MLOps from using agile management techniques to end-to-end delivery and reducing operational complexity. Hear best practices for designing & managing the ML production process through the automation of lifecycles for training & testing data sets.
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Expand Your Network
A unique opportunity to interact with industry leaders, data engineers, MLOps specialists & IT decision-makers leading the efficient ML production revolution. Learn from & connect with influential industry innovators sharing best practices to streamline your ML lifecycles.
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Who Should Attend
- Cloud Engineers
- CTOs
- Data Engineers
- Data Scientists
- Developers
- DevOps Managers
- Heads of Digital Transformation
- IT Decision-Makers
- Software Engineers
- ML Engineers
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Join the discussion
- Influential AI speakers
- Leading technologists & innovators
- Keynote presentations & panel sessions
- Roundtable discussions + speaker Q&A
- Unlimited networking & connections
- Discover technology shaping the future
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Downloads
Download the Attendee List to see who you can expect to meet!
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
What people say about RE•WORK/
Adam McMurchie, Senior Cloud Data Engineer
"The staff at RE•WORK along with Nikita are amongst the most talented and experienced professionals that I have had the pleasure of working with. Their dedication to high calibre content and pushing the forefront of innovation technology is highly inspirational.
Shalini Ghosh, Principal Research Scientist
"I have been really impressed with their work and the impact that they had on the AI community. The RE-WORK conferences are very well organized and meticulously planned...It’s not surprising that within a relatively short time, RE•WORK became one of the premier organizations for the AI community (and the scientific community, in general)."
Steve Kilpatrick, Director,
"We’ve been working with the team at RE•WORK for the last 5 years. It’s been nothing but a great experience. They’ve worked super hard to build their reputation in the market as being one of (if not THE) best global, dedicated AI Conferences around"
Sumit Gupta, VP, AI & Machine Learning
"The RE•WORK Summit was excellent. A great mix of speakers topics...outstanding"
Ilona Bartman, Medical Education Research Associate
"The talks were great and of a high level, I had a great time moving between the two tracks"
Data Scientist
"The value in attending for me was: learning about the state of the art methods in Deep Learning. What is done with it, how much data a crunched in a usual application, which infrastructure is needed? Limitations? Also to make contacts to companies and researchers."
Stefan Trockel, Co-Founder
"I found the Summit really cool and inspiring. In contrast to many conferences out there, it had a real depth to some technical topics and a good mix with use-case core learnings based talks. Really good quality."
Glen Moutrie
There have been some very technical talks which are really hard to come by in such a new field, great summit!
Sadid Hassan, Senior Director AI
“Always a pleasure to be part of RE•WORK events; I really like the speaker pool and diverse topics, and am always amazed at how efficiently the events are organized - kudos to the entire RE•WORK team!”
Event Organiser/
Katie Flash
Senior Conference Producer- Americas
Our events are all carefully created from scratch. The whole process from research to post-production is crafted by our team, so we are always available to assist with any queries! We look forward to meeting you at the event!
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