Explore the path to interoperability with @michaelarmbrust (the original creator of #DeltaLake) & Ryan Blue (an original creator of #ApacheIceberg). They discuss the evolution of open table formats, how Databricks is solving interoperability & more: https://
dbricks.co/4ejg3my
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Interoperability Path for Open Table Formats Explored
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Artificial Intelligence Transforming Human Resources and Workforce
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How Artificial Intelligence is Transforming Human Resources and the Workforce
#AI #AIio #BigData #ML #NLU #Futureofwork @ahier @guzmand
@DavidBrin @denisegarth @dez_blanchfield @diioannid @DioFavatas @gerald_bader -
Data Democratization: Empowering Non-Technical Users for Better Decisions
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Data democratization is about more than increasing #DataAccess. It's about empowering people of all technical backgrounds to use the right data in their roles to make optimal business decisions. Learn more, including the critical safeguards you need: https://
ow.ly/FsI850TvPyq -
Industrial IoT Landscape: Measuring Company Performance and Growth
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How does your company measure up in the #IIoT landscape? Download the report to uncover critical gaps and opportunities for growth: https://
buff.ly/3SSsa10 #sponsored #hivemq_iiot #IndustrialIoT #BusinessStrategy @Fabot70 @GregorianCT1 via @fogoros -
Data Engineers Critical for GenAI Success and Code Development
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The best #GenAI models will not succeed without good data. That’s why data engineers are even more critical today. This guide shares practical guidance on using AI tools for faster code dev, implementing data governance & more. Read here
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MongoDB Schema Modeling: Beyond Schemaless Myth
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Challenge accepted! I think my point would be that you can model your data in MongoDB as you would in PG. there are good reasons why documents could get you farther, depending on the workload, but this idea of "schemaless" MongoDB has always been wrong. There's always schema.
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New ‘Faces in Things’ Dataset Advances Face Detection Algorithms
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This new dataset, “Faces in Things,” dwarfs those of previous studies that typically used only 20-30 stimuli. This scale allowed the researchers to explore how state-of-the-art face detection algorithms behaved after fine-tuning on pareidolic faces, & could also act as a
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Researchers Create Large Facial Pareidolia Dataset for Computer Vision
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Face pareidolia had been largely unexplored in computer vision until now. The researchers’ extensive, human-labeled dataset of >5,000 pareidolic images far surpasses previous collections.
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Data Leader’s Technical Guide to Scaling Generative AI
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A data leader’s technical guide to scaling gen AI
#AI #AIio #BigData #ML #NLU #Futureofwork @oluskayacan @richardkimphd @MariaFariello @johnpearcenews5 @ResurgentAV @rohanmuralee @globaliqx -
Meta Expands Fraud Data-Sharing Framework for UK Banks
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This is what bank and fintech execs in the fraud / fincrime space have been calling for, for years… Meta today says it has expanded its data-sharing framework for scams to help banks in the UK fight online fraud.