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  • 1
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Sponsored by intel and LSEG LABS Scaling AI is a notoriously difficult challenge. But it’s easier when you see what’s worked for others—and what hasn’t. This half-day virtual event brings together AI and machine learning engineers from across industries to show how they approach scaling at every stage of the project lifecycle. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive and learn to leverage AI to drive real business results. What you’ll learn and how you can apply it Understand what scaling AI does (and doesn’t) include See what scaling AI might look like from design through deployment Explore what current AI leaders are achieving through scaling Discover real-world technical applications This recording of a live event is for you because… You're a machine learning engineer or data scientist interested in the challenges and benefits of scaling. You’re responsible for scaling your organization's machine learning and are looking for hands-on examples. You're wondering how to improve your own AI and machine learning. Recommended follow-up: Read AI and Analytics at Scale (report) Watch Meet the Expert: Dean Wampler on Scaling ML/AI Applications with Ray (recorded event)
    Note: Online resource; Title from title screen (viewed September 22, 2021) , Mode of access: World Wide Web.
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  • 2
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 52 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: O’Reilly Radar: Data & AI will showcase what’s new, what’s important, and what’s coming in the field. It includes two keynotes and two concurrent three-hour tracks—designed to lay out for tech leaders the issues, tools, and best practices that are critical to an organization at any step of their data and AI journey. You’ll explore everything from prototyping and pipelines to deployment and DevOps to responsible and ethical AI.
    Note: Online resource; Title from title screen (viewed October 14, 2021) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You’ll learn about everything from scaling to deployment and from pipeline to model decay—straight from our experts. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive, and learn to leverage AI to drive real business results. What you'll learn-and how you can apply it Understand how MLOps can help you evolve from manually building models Learn how to use PyTorch to effectively deploy and scale your AI models Explore design patterns that will help you tackle problems that frequently crop up during the ML process This Superstream is for you because... You want to learn more about moving machine learning from model to production. You want to better understand MLOps. You’re interested in improving your skills in scaling, model monitoring, and deployment. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration
    Note: Online resource; Title from title screen (viewed March 17, 2021) , Mode of access: World Wide Web.
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