Data Science & Engineering Copilot by info.odysseyx@gmail.com September 27, 2024 written by info.odysseyx@gmail.com September 27, 2024 0 comment 23 views 23 Do you want to leverage the power of AI to streamline your data science and engineering workflows in healthcare? In the upcoming webinar episode: “ “Data Science and Engineering Copilot – Leveraging Advanced AI Machine Learning Models for Healthcare” we will show you how Data Science and Data Engineering Co-Pilot Microsoft Fabric is changing the way healthcare organizations manage, analyze, and gain insights from data. These AI-powered copilots enable healthcare teams to streamline complex data engineering pipelines and accelerate the development of advanced data science models. Data Science Co-Pilot Improve the creation and deployment of machine learning models by providing AI-based insights and automation for model training, validation, and tuning. This allows healthcare data scientists to build predictive models faster and support areas such as predicting patient outcomes, assessing disease risk, and optimizing operations. meantime, Data Engineering Co-Pilot Simplifies the design, integration, and orchestration of data pipelines, enabling healthcare organizations to efficiently process massive amounts of structured and unstructured data. Whether you’re handling patient data, clinical trial results, or operational metrics, this co-pilot automates repetitive tasks and optimizes data flow, significantly reducing manual effort and improving data accuracy. Our demo uses healthcare data as a real-world example through our partnership with iLink Digital, one of Microsoft’s Premier Partners. Microsoft Fabric Services | Microsoft Fabric Partner – i Link Digital (ilink-digital.com) View the entire webinar series calendar invitations Join the webinar on October 21, 2024 (team link) resources: Data Science Engineering Copilot.ics Source link Share 0 FacebookTwitterPinterestEmail info.odysseyx@gmail.com previous post Exciting Business Development Executive Opportunities at Intouch Quality Services in Delhi next post Lesson Learned #509: KeepAliveTime parameter in HikariCP You may also like A good Los Angeles rebuild with fire-resistant houses January 20, 2025 2024 PC shipments increase with strong refresh cycle, Win10 ends January 15, 2025 Biden Battered Over AI Diffusion Policy January 14, 2025 The best thing about CES 2025 January 13, 2025 Meta Scrap fact-checker, eases content restrictions January 8, 2025 2025 Cyber Security Predictions Influenced by AI January 7, 2025 Leave a Comment Cancel Reply Save my name, email, and website in this browser for the next time I comment.