Comet Announces Convergence 2023

Free virtual event designed around the needs of today’s ML community, with an eye on building for the future

Comet, provider of the leading MLOps platform for machine learning (ML) teams from startup to enterprise, today announced its second annual Convergence conference. The event, which is free to the ML community, will take place virtually March 7-8, 2023.

Convergence 2023 comes at a time when 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. For this reason, it is imperative that ML practitioners have the space to collaborate and share ideas and use cases to drive greater ML adoption and overall project success.

Comet will bring together more than 2,500 data scientists, machine learning engineers, analysts and managers to explore the new frontiers of machine learning (ML), dissecting trends and discussing the latest advancements. Convergence 2023 will feature expert speakers and thought leaders who will dive into cutting-edge ML techniques, applications and tools to solve complex problems in the real world. Current speakers include ML leaders from companies such as Twitter, Carvana, Wayfair, Intel, Syngenta, Microsoft, JLG Industries and many more.

This year’s program, which features talks on topics like The Role of Data Scientists in the Age of GPT and LLMsand Sculpting Data for Machine Learning, is part of an expanded agenda based on the success of the inaugural Convergence conference. Now a two-day event, Convergence 2023 will feature talks, Q&A sessions, panels and lots of virtual networking. Day one will focus on novel ML applications while the second day is concentrated on MLOps best practices and a hands-on tutorial on the open source tool Kangas by Comet. The full agenda can be found here.

“Machine learning techniques are continuously advancing, with more and more companies embracing them across industries,” said Gideon Mendels, CEO and co-founder of Comet. “The exchange of best practices, insights and novel approaches significantly accelerates the process of implementing ML solutions in organizations successfully. For that reason, we designed Convergence to be the best platform for practitioners and managers to stay ahead of current machine learning trends and see what has worked for others.”

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