Data-centric AI begins upstream in the enterprise stack before the data is used to train the models. Join Nurtekin Savas, Head of Enterprise Data Science at @CapitalOne
, as he discusses the journey of data across an enterprise & how data-centric workflows can drive business
@snorkelai
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Data-Centric AI: Enterprise Data Workflows and Model Training
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Future of Data-Centric AI Conference June 7-8 Expert Insights
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The Future of Data-Centric AI Conf is 2 weeks away on June 7-8, where @EMostaque @StabilityAI
, Nurtekin @CapitalOne
, @amrcn_werewolf @microsoft
, Aparna L @snorkelai
, @JileiHou @Qualcomm
, & other industry experts will share their insights. Register today: https://
future.snorkel.ai -
Data-Centric AI Community Launches Knowledge Sharing Platform
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1000s of data scientists will share their ideas & knowledge at The Future of Data-Centric AI conf. We're looking to capture that same magic in our Slack community. Our vision for the community? A place for you to learn & innovate with like-minded folks. http://
snkl.ai/community -
AI Safety Research Growth: From 2% to Future Leadership
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Incredible progress in AI safety research with a 358% growth from 2016 to 2021, according to data by the brilliant team at @CSETGeorgetown
! But this comprises only 2% of all AI research. How can we make the next leap in #AISafety?” -
No-code tools accelerate enterprise AI deployment timelines
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It still takes over 7 months for enterprises to develop and deploy AI applications. We are excited to partner with @predibase at https://
future.snorkel.ai on Jun 7-8. Join us to learn how to leverage no-code/low-code tools to build AI without months of code. -
AI Unlocks Human Potential: Innovative Applications Across Domains
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Dive into how AI can unlock human potential! Join Bryan Wood from @BankofAmerica as he explores innovative AI apps across domains , enhancing creativity , & expanding automation horizons . Get inspired & discover the limitless possibilities of AI at https://
future.snorkel.ai -
Balancing Power and Responsibility in GenAI Ethics
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How do you balance of power & responsibility in the context of AI? Join the discussion at https://
future.snorkel.ai as Daniel Wu & @profvjreddi dissect the ethical implications & computational demands of #GenAI amidst the escalating ML arms race. -
Simulants: AI Method Synthesizes Privacy-Preserving Clinical Trial Data
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"Simulants" is a method for synthesizing clinical trial data that maintains subject privacy, facilitating data sharing and innovation in fields like drug safety and bias analysis. Submitted by: Afrah Shafquat @Medidata
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Data-IQ Framework Stratifies Training Data by Predictive Confidence
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"Data-IQ" is a versatile framework enabling the systematic stratification of training data into outcome-based subgroups using predictive confidence & aleatoric uncertainty, aiding in feature acquisition, dataset selection, & reliable model usage. By: Nabeel Seedat @Cambridge_Uni
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Minimax Optimal Stability Estimation Under Distribution Shift
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"Minimax Optimal Estimation of Stability Under Distribution Shift" this study proposes an estimator for gauging system stability under environmental changes, providing a method to predict performance deterioration and ensure robustness. Submitted by: Yuanzhe Ma @Columbia