Qwoted is a free expert network: we help reporters connect with experts & we help those same experts build relationships with top reporters.
Event Date |
Wed Nov 9 GMT - Thu Nov 10 GMT (about 2 years ago)
In your timezone (EST): Tue Nov 8 7:00pm - Wed Nov 9 7:00pm |
Location |
Leonardo Royal London Tower Bridge
45 Prescot St, London E1 8GP, UK |
Region | EMEA |
Discover how to optimize the machine learning lifecycle & streamline your pipeline for better production
New This Year!
1. Receive access to multiple stages to optimize cross-industry learnings & collaboration
2. Solve shared problems with expert AI attendees during round table discussions, Q&As with speakers or schedule 1:1 meetings
3. Attend technical labs, participate in practical workshops & meet investors during Deep Dive Sessions
4. Hybrid-Event options to participate virtually & connect with global attendees if you can't join in-person
5. Witness live interviews and podcast recordings with speakers & re-watch again on our Video Hub
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
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.
Who Should Attend?
• Cloud Engineers
• CTOs
• Data Engineers
• Data Scientists
• Developers
• DevOps Managers
• Heads of Digital Transformation
• IT Decision-Makers
• Software Engineers
• ML Engineers
2022 Speakers
Anna FitzMaurice
Senior Data Scientist, BBC
Pavlos Mitsoulis-Ntompos
MLOps Engineering Manager, King
Detlef Nauck
Head of AI & Data Science Research, BT
Ioannis Mesionis
Lead Data Scientist, EasyJet
Harpal Sahota
Lead Data Scientist, MATCHESFASHION
Ghida Ibrahim
Lead Quantitative Engineer, Meta
Andrey Velichkevich
Senior Software Engineer, Apple
Dejan Golubovic
Software Engineer, MLOps, CERN
Natalia Koupanou
Senior Lead Data Scientist, Huge Inc
Andy McMahon
Machine Learning Engineering Lead, NatWest Group
Massimo Belloni
Data Science Manager, Bumble
Christopher Yim
Machine Learning Ops Engineer, Recycleye
Michael Phelan
Global MLOps and Data Science Leader, Johnson & Johnson Consumer Health
Casper da Costa-Luis
Product Manager, Iterative
Christian Rehm
Senior Machine Learning Engineer, Wayfair
Aerin Booth
Cloud Sustainability Advocate, Genesis Cloud
Li Rong
Software Engineer, Yelp
Tom Steenbergen
ML Platform Lead, Picnic Technologies
Reinu Mann
Global Head of DevOPs and Product Strategy, Mars
Yufei Ai
Insight Manage of Data Science, John Lewis & Partners
2022 Partners
• Iterative
• Valohai
• Genesis Cloud