Le plus gros problème actuellement dans l’IA appliquée à la médecine, ce n’est pas que l’IA ne soit pas meilleure que les médecins humains — le vrai problème, c’est l’accès aux données. Tant que la prise de tension, les analyses de sang, les scanners, etc. restent compliqués à
DATA
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Database centralization risks for AGI fine-tuning concerns
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Once we are all in the same database it will be far easier to fine tune the AGI on us.
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AI-Powered Data-Driven Decision Making Framework
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8/ AI Decision Making Prompt: "Help me make a data-driven decision: {describe your dilemma}. Analyze risks, benefits & provide a logical framework to evaluate options. Suggest AI-powered analytics tools to enhance decision-making in {specific business area}."
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India Launches AI Mission to Develop Domestic AI Capabilities
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New Delhi: Under the aegis of the IndiaAI Mission, MeitY we are proud to host a pivotal event themed “Make AI in India, Make AI Work for India”. With strategic interventions across Compute, Foundation & Start-ups, Data, Applications, this event defines the future trajectory of
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AI Agents Evolving from 50 First Dates to Cheers Through Memory
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From '50 First Dates' to 'Cheers': The acquisition of memory brings growing context, awareness and relevance to AI agents, even as such personalization ramps up the need for data privacy, security and responsible use wsj.com/articles/the-ai-expe… @WSJ @Techmeme @EvanKirstel
→ View original post on X — @steve_rosenbush, 2025-05-29 20:21 UTC
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Credit Usage Patterns During Positive and Negative Circumstance Changes
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In the case of happy/neutral changes in circumstances, actually using that additional credit might be a gradual adjustment over time, which is observable in a way the circumstance itself is not. In many but not all negative scenarios, usage might spike quickly.
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Banks Use AI to Dynamically Manage Credit Risk Real-Time
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These behaviors are particularly concentrated at the largest banks with the best technology investments, because they have the capability to do something which is poorly understood and was once very hard for anyone to do: dynamically pare credit exposure in close to real time.
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Language Data Gap Threatens LLM Training Diversity Globally
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Did you know that less than 5% of the world's 7,000 languages have meaningful online representation? This highlights the data dearth that a recent @StanfordHAI white paper revealed in the context of training large language models. Read more via @TechBrew
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Company Recognized as Leader in Gartner Magic Quadrant
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We're honored to be recognized as a Leader once again in the Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms 🎉 pic.twitter.com/Kb813CjXPA
— DataRobot (@DataRobot) 29 mai 2025We're honored to be recognized as a Leader once again in the Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms