https://insideainews.com/tag/feature-stores/ Illuminating AI's Frontiers: Your Go-To News Destination. Tue, 07 Mar 2023 02:29:50 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/feature-stores/ 32 32 136462205 https://insideainews.com/2023/03/07/databricks-launches-simplified-real-time-machine-learning-for-the-lakehouse/ https://insideainews.com/2023/03/07/databricks-launches-simplified-real-time-machine-learning-for-the-lakehouse/#respond Tue, 07 Mar 2023 15:00:00 +0000 https://insidebigdata.com/?p=31820 Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications. Now, organizations can leverage the Databricks Lakehouse Platform to integrate real-time machine learning systems across their business, from personalized recommendations to customer service chatbots, without the need to configure and manage the underlying infrastructure.]]> https://insideainews.com/2023/03/07/databricks-launches-simplified-real-time-machine-learning-for-the-lakehouse/feed/ 0 31820 https://insideainews.com/2021/04/01/the-fate-of-feature-engineering-no-longer-necessary-or-much-easier/ https://insideainews.com/2021/04/01/the-fate-of-feature-engineering-no-longer-necessary-or-much-easier/#respond Thu, 01 Apr 2021 13:00:00 +0000 https://insidebigdata.com/?p=25874 In this contributed article, editorial consultant Jelani Harper believes that features are the definitive data traits enabling machine learning models to accurately issue predictions and prescriptions. In this respect, they’re the foundation of the statistical branch of AI. However, the effort, time, and resources required to engender those features may become obsolete by simply learning them with graph embedding so data scientists are no longer reliant on hard to find, labeled training data. ]]> https://insideainews.com/2021/04/01/the-fate-of-feature-engineering-no-longer-necessary-or-much-easier/feed/ 0 25874 https://insideainews.com/2021/01/17/molecula-secures-17-6-million-in-series-a-funding-to-democratize-machine-scale-analytics-and-ai/ https://insideainews.com/2021/01/17/molecula-secures-17-6-million-in-series-a-funding-to-democratize-machine-scale-analytics-and-ai/#respond Sun, 17 Jan 2021 14:00:13 +0000 https://insidebigdata.com/?p=25505 Molecula, an enterprise feature store built for machine-scale analytics and AI, announced it closed a $17.6 million Series A round of funding, bringing its total funding to $23.6 million. The round is led by Drive Capital, with participation from TTV Capital and existing investors including Tensility. ]]> https://insideainews.com/2021/01/17/molecula-secures-17-6-million-in-series-a-funding-to-democratize-machine-scale-analytics-and-ai/feed/ 0 25505 https://insideainews.com/2021/01/10/feature-stores-are-critical-for-scaling-ml-initiatives-and-accelerating-both-top-line-and-bottom-line-impact/ https://insideainews.com/2021/01/10/feature-stores-are-critical-for-scaling-ml-initiatives-and-accelerating-both-top-line-and-bottom-line-impact/#respond Sun, 10 Jan 2021 14:00:45 +0000 https://insidebigdata.com/?p=25484 Feature stores are emerging as a critical component of the infrastructure stack for ML. They solve the hardest part of operationalizing ML: building and serving ML data to production. They allow data scientists to build more accurate ML features and deploy these features to production within hours instead of months.]]> https://insideainews.com/2021/01/10/feature-stores-are-critical-for-scaling-ml-initiatives-and-accelerating-both-top-line-and-bottom-line-impact/feed/ 0 25484