Join us as we explore
The New Frontiers of Machine Learning
Free Virtual Event | March 7-8, 2023
Days of content
Speakers
Attendees online
Join us for this second edition of Convergence Conference on March 7-8, 2023 and explore the new frontiers of machine learning, including novel applications, tools and processes! This two-day virtual event features 25+ talks, panels and workshops by leading data scientists who share cutting-edge ML techniques to solve complex problems in the real world.
About Convergence
Machine learning solutions are increasingly employed by companies across industries to generate economic and social value. The power of algorithms provides firms with valuable insights and enables them to build better products and services at a faster pace and at lower costs. However, the AI journey has just begun and nascent, exciting approaches are being developed to create ML models that are even more reliable, ethical, creative and explainable. Convergence gathers data scientists, ML engineers and researchers to meet each other and discover the latest technology, advancements and trends in ML.
Speakers
Omri Allouche
Head of Research at Gong
Kay Firth-Butterfield
Head of AI & Machine Learning at World Economic Forum
Jigyasa Grover
Senior Machine Learning Engineer at Twitter
Ali Vanderveld
Senior Staff Scientist at Wayfair
Brittney Monroe
Senior Engineer at Carvana
Christina Taylor
Senior Engineer II at Carvana
Wei Li
VP & GM, Artificial Intelligence & Analytics at Intel Corporation
Serg Masís
Climate & Agronomic Data Scientist at Syngenta
SAMPLE TOPICS TO BE COVERED
Data-centric AI
AI as a service (AIaaS)
How to Build a Successful ML Stack
The Future of Creative AI: Is it Going to Disrupt the Creator Marketplace?
ML, DL, RL: What is Hype and What is Not?
Economic Impact on Growth in Emerging Trends
Is Data Still the Big Bottleneck in ML? How ML Teams are Overcoming the Data Challenge
The Impact of ML in Biomed and Healthcare
Disrupting Gaming with Machine Learning
Federated ML
AI Bill of Rights: How can Government Policies Hamper Growth
Metaverse – What will be Role of ML Engineers and Data Scientists and How the Can Keep it Real
AI Governance
Repeatability – of Experiments is an Underrated Art
Explainable AI
Ethical AI
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