Healthcare systems manage sensitive data across fragmented platforms with limited mutual trust. A blockchain ledger with smart contracts introduces verifiable records and controlled consent, so hospitals coordinate data access without losing governance. Microblog @antgrasso
DATA
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AI tool automates a year of accounting in 20 minutes
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C'est DINGUE. J'ai uploadé mes relevés bancaires à Claude Opus 4.6. Il a analysé une année complète de transactions, séparé revenus et dépenses, et tout catégorisé. 20 minutes plus tard, la comptabilité était terminée.
Environ 11 000€ de travail comptable réglé en une -
AI model efficiently categorizes a year of financial transactions in minutes
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C'est DINGUE. J'ai uploadé mes relevés bancaires à Claude Opus 4.6. Il a analysé une année complète de transactions, séparé revenus et dépenses, et tout catégorisé. 20 minutes plus tard, la comptabilité était terminée.
Environ 11 000€ de travail comptable réglé en une -
Edge Central Unlocks OT Data Silos with OPC UA Standardization
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#Sponsored by IOTechSystems.
— Lucian Fogoros (@fogoros) 16 mars 2026
Your OT data is worth millions. But it is trapped inside equipment that was never designed to share it. Every PLC is an island. Edge Central breaks those islands open and normalizes the data into one standard (OPC UA) without replacing anything on the… pic.twitter.com/6rMmWnlHQJ#Sponsored by IOTechSystems.
Your OT data is worth millions. But it is trapped inside equipment that was never designed to share it. Every PLC is an island. Edge Central breaks those islands open and normalizes the data into one standard (OPC UA) without replacing anything on the -
ELLIS Board: Florence d’Alché-Buc on AI and Data
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👋 Meet the ELLIS Board This episode features Florence d’Alché-Buc, Professor at @telecomparis 🇫🇷 and ELLIS Board Member. She shares her views on data vs. algorithms, causality, foundation models, and how AI systems should be evaluated. Watch the video: piped.video/kgLCpIUEwiY
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Pokémon Go’s 30 Billion Images Secretly Built Massive AI Dataset
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143 millions de personnes pensaient chasser des Pokémon.
— VISION IA (@vision_ia) 16 mars 2026
En réalité, elles construisaient l'un des plus grands datasets visuels du monde réel de l'histoire de l'IA.
Niantic vient de révéler que les photos et scans AR collectés via Pokémon Go représentent plus de 30 milliards… https://t.co/lEauNwHvpE143 million people thought they were hunting Pokémon.
In reality, they were building one of the largest real-world visual datasets in the history of AI.
Niantic just revealed that the photos and AR scans collected via Pokémon Go represent more than 30 billion images.
And these -
Machine Learning for Time Series: Forecasting, Prediction, Anomaly Detection
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Machine Learning for #TimeSeries with Python — Forecast trends, Predict the future, Detect anomalies with state-of-the-art ML methods: http://
amzn.to/3xf5ZdI by @benji1a ——————
#DataScience #AI #Forecasting #PredictiveAnalytics #AnomalyDetection #IoT #IIoT #DataScientist -
Model-Based Clustering and Classification for Data Science in R
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Model-Based Clustering and Classification for Data Science, with Applications in R: http://
amzn.to/4aV1VhH
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#Rstats #DataScientist #MachineLearning #ML #AI #Statistics #Mathematics -
Data Science for Business: Data Mining and Analytic Thinking Essentials
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Data Science for Business — What You Need to Know about Data Mining and Data-Analytic Thinking: http://
amzn.to/3dRgs18
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#ML #AI #MachineLearning #DataScientist #Analytics @LeadershipData -
Predictive Statistics: Analysis and Inference Beyond Models
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Predictive #Statistics — Analysis and Inference beyond Models: http://
amzn.to/49TYu9v
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#Probability #DataScience #Mathematics #MachineLearning #ML #DataScientist