#aireadydata — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aireadydata, aggregated by home.social.
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Samsung Electronics Simultaneously Recruits Seoul National University Professor and Meta Veteran to Accelerate Semiconductor AI Transformation
Samsung Electronics has simultaneously recruited a leading authority in deep learning and vision AI along with a data…
#EuropeSays #Korea #KR #SamsungElectronics #AIReadyData #AX·PICenter #DataEngineering #DeepLearning #HanBo-hyung #HanTae-rin #Meta #Samsung #semiconductors #SeoulNationalUniversity
https://www.europesays.com/korea/119844/ -
Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Meet Ramona Walls, who will present “From biodiversity data to knowledge in the age of AI: Where do ontologies and standards fit?” at #TDWG2026
She will discuss the persistent challenges of meaning, context, trust, and governance—and how ontologies, standards, and community agreements are essential to build transparent, scalable, and AI-ready biodiversity knowledge.
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Strong data catalogs transform the way teams think. They shift work from guesswork to clear action. What’s your take? #DataCatalogs #SingleSourceOfTruth #DataQuality #DataTrust #DataOps #DataStrategy #AIReadyData #DataFuture
https://www.linkedin.com/pulse/building-data-catalogs-quiet-power-behind-single-truth-mohindroo--icosc -
Strong data catalogs transform the way teams think. They shift work from guesswork to clear action. What’s your take? #DataCatalogs #SingleSourceOfTruth #DataQuality #DataTrust #DataOps #DataStrategy #AIReadyData #DataFuture
https://www.linkedin.com/pulse/building-data-catalogs-quiet-power-behind-single-truth-mohindroo--icosc -
https://www.europesays.com/britain/48438/ How LSEG is building the backbone of AI-ready data #AIData #AIReadyData #CapitalMarketsData #DataGovernance #DataManagement #DataQuality #FinancialData #FinancialMarkets #fintech #LondonStockExchangeGroup #LSEG #LSEGData&Analytics #MCP #ModelContextProtocol #RegTech #WealthTech
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MoSPI official Rohit Bhardwaj urges caution on AI adoption, stresses AI-ready, trustworthy data and structured formats for government institutions. https://english.mathrubhumi.com/news/india/govt-official-urges-caution-on-ai-adoption-until-solutions-are-tested-and-trustworthy-hd5mmfbf?utm_source=dlvr.it&utm_medium=mastodon #AIinGovernment #ArtificialIntelligence #AIReadyData #MoSPI
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MoSPI official Rohit Bhardwaj urges caution on AI adoption, stresses AI-ready, trustworthy data and structured formats for government institutions. https://english.mathrubhumi.com/news/india/govt-official-urges-caution-on-ai-adoption-until-solutions-are-tested-and-trustworthy-hd5mmfbf?utm_source=dlvr.it&utm_medium=mastodon #AIinGovernment #ArtificialIntelligence #AIReadyData #MoSPI
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MoSPI official Rohit Bhardwaj urges caution on AI adoption, stresses AI-ready, trustworthy data and structured formats for government institutions. https://english.mathrubhumi.com/news/india/govt-official-urges-caution-on-ai-adoption-until-solutions-are-tested-and-trustworthy-hd5mmfbf?utm_source=dlvr.it&utm_medium=mastodon #AIinGovernment #ArtificialIntelligence #AIReadyData #MoSPI
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MoSPI official Rohit Bhardwaj urges caution on AI adoption, stresses AI-ready, trustworthy data and structured formats for government institutions. https://english.mathrubhumi.com/news/india/govt-official-urges-caution-on-ai-adoption-until-solutions-are-tested-and-trustworthy-hd5mmfbf?utm_source=dlvr.it&utm_medium=mastodon #AIinGovernment #ArtificialIntelligence #AIReadyData #MoSPI
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Strong data catalogs transform the way teams think. They shift work from guesswork to clear action. What’s your take? #DataCatalogs #SingleSourceOfTruth #DataQuality #DataTrust #DataOps #DataStrategy #AIReadyData #DataFuture
https://www.linkedin.com/pulse/building-data-catalogs-quiet-power-behind-single-truth-mohindroo--icosc -
Strong data catalogs transform the way teams think. They shift work from guesswork to clear action. What’s your take? #DataCatalogs #SingleSourceOfTruth #DataQuality #DataTrust #DataOps #DataStrategy #AIReadyData #DataFuture
https://www.linkedin.com/pulse/building-data-catalogs-quiet-power-behind-single-truth-mohindroo--icosc -
AI-Ready Data: как дообучить LLM без боли и с максимальной отдачей
В последние месяцы я всё чаще сталкиваюсь с одним и тем же выводом: внедрение LLM-систем (особенно с использованием RAG-подхода) тормозится не из-за самой модели, а из-за отсутствия качественных данных. Самое дорогое в процессе — это не запуск пайплайна, не подбор архитектуры, а подготовка структурированных, очищенных и корректных данных, пригодных для обучения или дообучения моделей. Всё чаще этот подход называют AI-Ready Data.
https://habr.com/ru/companies/naumen/articles/925520/
##AIReadyData ##LLM ##DataEngineering ##RubyOnRails ##RAG ##LowCode
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AI-Ready Data: как дообучить LLM без боли и с максимальной отдачей
В последние месяцы я всё чаще сталкиваюсь с одним и тем же выводом: внедрение LLM-систем (особенно с использованием RAG-подхода) тормозится не из-за самой модели, а из-за отсутствия качественных данных. Самое дорогое в процессе — это не запуск пайплайна, не подбор архитектуры, а подготовка структурированных, очищенных и корректных данных, пригодных для обучения или дообучения моделей. Всё чаще этот подход называют AI-Ready Data.
https://habr.com/ru/companies/naumen/articles/925520/
##AIReadyData ##LLM ##DataEngineering ##RubyOnRails ##RAG ##LowCode
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AI-Ready Data: как дообучить LLM без боли и с максимальной отдачей
В последние месяцы я всё чаще сталкиваюсь с одним и тем же выводом: внедрение LLM-систем (особенно с использованием RAG-подхода) тормозится не из-за самой модели, а из-за отсутствия качественных данных. Самое дорогое в процессе — это не запуск пайплайна, не подбор архитектуры, а подготовка структурированных, очищенных и корректных данных, пригодных для обучения или дообучения моделей. Всё чаще этот подход называют AI-Ready Data.
https://habr.com/ru/companies/naumen/articles/925520/
##AIReadyData ##LLM ##DataEngineering ##RubyOnRails ##RAG ##LowCode
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非構造データを価値化する！DNPの構造化AI × RAG 体験デモアプリを作ってみた
https://qiita.com/dnp-nishikawa/items/3a9723a4666342cc4015?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
非構造データを価値化する！DNPの構造化AI × RAG 体験デモアプリを作ってみた
https://qiita.com/dnp-nishikawa/items/3a9723a4666342cc4015?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
非構造データを価値化する！DNPの構造化AI × RAG 体験デモアプリを作ってみた
https://qiita.com/dnp-nishikawa/items/3a9723a4666342cc4015?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items