Snorkel AI, the data-centric AI platform company, has announced this year’s agenda for Future of Data-Centric AI Conference 2023 (FDCAI). Now in its third year, the virtual event will bring together thousands of data scientists, ML engineers, software developers, Fortune 500 organizations, AI-first companies and academia from around the world to share best practices and the latest advancements in AI. Speakers from esteemed organizations such as Capital One, EY, Google, Kaiser Permanente, Microsoft, Stability AI, Wayfair, Wells Fargo and more will elaborate on ways to leverage new AI developments such as large language models (LLMs), foundation models, generative AI, programmatic labeling, weak supervision, prompting, synthetic data and more.
The event will take place on June 7-8, 2023 and is hosted by Snorkel AI in partnership with Gretel AI, Hugging Face, Lambda Labs, Microsoft, Predibase, Seldon AI, and Together. Various sessions will explore topics such as new AI advances, the need for data-centric approaches, AI models, data science, and ML engineering. Additionally, the conference includes an AI poster competition that offers $15K in prizes and submissions from renowned institutions such as Argonne National Lab, Columbia University, Cornell University, Medidata, Stanford University, TitanML, University of Cambridge, University of Toronto, University of Utah and University of Wisconsin-Madison.
About Snorkel AI
Snorkel AI is a data-centric AI platform company that helps organizations to make AI application development faster and more practical by eliminating the need for manually-labeled training data. Its AI platform, Snorkel Flow, is powered by programmatic labeling. The company is funded by investment firms such as Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners and funds and accounts managed by BlackRock and based in Palo Alto. All sessions at Future of Data-Centric AI Conference 2023 are free to attend. For more information, please visit: https://www.snorkel.ai/ or follow @SnorkelAI on social media.
