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  • 1
    Online Resource
    Online Resource
    The Generative AI Conference : practical insights and proven playbooks (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835884041 , 1835884040
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence Congresses ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Generative AI is dominating discussions on AI. It is a superpower that every tech professional must harness, but harnessing its power takes knowledge, strategy, and vision. We present you with the recordings from our acclaimed Generative AI conference in one comprehensive video collection. We've packaged the invaluable insights and techniques shared by bestselling AI authors, innovators, and practitioners from Meta, Microsoft, Deloitte, JPMorgan, NVIDIA, Salesforce, and more. These talks and tech sessions provide unique perspectives on realizing generative AI's immense potential. Let the brightest minds equip you with the knowledge to help you put generative AI to work for your unique needs. What you will learn Panel Discussion: Put Generative AI to Work! Navigating the Hype and Shaping the Future with Gen AI Revelations from 30 AI Visionaries About Generative AI's Future in Business The Large Language Model Revolution in Recommender Systems Personalization Fireside Chat: Navigating Responsible AI Development Amidst LLMs Innovation Tackling OWASP's Top 10 Risks Head On Audience This video collection caters to forward-thinking technology professionals and leaders in various industries who aspire to leverage generative AI for business transformation. It is designed for product leaders interested in integrating generative AI into their overall business strategy, AI specialists and researchers in search of the latest techniques for developing custom generative models, data scientists aiming to uncover insights and automate processes using generative AI, as well as business owners and entrepreneurs exploring new revenue opportunities powered by generative AI. About the Authors Clint Bodungen: Clint Bodungen is a globally recognized cybersecurity authority and brings over a quarter-century of experience to the table. A veteran of the United States Air Force and seasoned professional at notable cybersecurity firms like Symantec, Kaspersky Lab, and Booz Allen Hamilton, he is renowned for his innovative approaches in the field. Clint has contributed to the field as the author of two insightful books: 'Hacking Exposed: Industrial Control Systems' and 'ChatGPT for Cybersecurity Cookbook.' These works underscore his wide-ranging knowledge and expertise in cybersecurity, establishing him as a thought leader in this ever-evolving field. Denis Rothman: Expert in AI Transformers including ChatGPT/GPT-4, Bestselling Author John K. Thompson: Bestselling Author, Innovator in Data, AI, & Technology Amit Kumar: Sr. Enterprise Solutions Architect - Generative AI, NVIDIA Vinoo Ganesh: Speaker, Technologist, and Startup Advisor Amey Dharwadker: Engineering Leader, Machine Learning at Meta Bill Schmarzo: Dean of Big Data, Bestselling AI author Maria Parysz: AI Practitioner, CEO and Owner at LogicAI & RecoAI, ElephantAI Sadid Hasan: AI Lead, Microsoft Andreas Welsch: Chief AI Strategist, Intelligence Briefing Aleksander Molak: Causality Advocate, Bestselling Author, AI Researcher & Strategist Shyam Varan Nath: Specialist Leader - AI & Analytics, Deloitte Sebastian Raschka: Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Strata Data Superstream Series : Creating Data-Intensive Applications (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As the scale of data continues to grow (alongside an ever expanding ecosystem of tools to work with it), developing successful applications is an increasingly challenging proposition—and a necessity. At each stage of the process, from architecting to processing and storing data to deployment, there are a range of aspects to consider. Things like scalability, consistency, reliability, efficiency, and maintainability. It can be hard to figure out the right way forward. In this event, you’ll gain insight into design and engineering best practices through interactive sessions and live coding demos. Join us to learn how to make the right decisions for your applications. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Learn how to build, scale, and test robust data pipelines Get an overview of next-generation technologies for developing underlying data architectures Explore design considerations to make your applications successful and reliable Understand how to ask the right questions when developing ethical data products This Superstream is for you if... You need to know the latest trends in data workflows, techniques, and tools. You want to improve the scalability, reliability, security, and maintainability of your applications. You want to better understand the systems you already use and the distributed systems on which modern databases are built. You want to learn the best ways to integrate data governance and ethical data practices into your applications. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Designing Data-Intensive Applications (book)
    Note: Online resource; Title from title screen (viewed May 4, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    O’Reilly Radar : Data & AI (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    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.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Data superstream : Building data pipelines and connectivity (2022)
    [Place of publication not identified] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Database management ; Management information systems ; Information storage and retrieval systems ; Database management ; Information storage and retrieval systems ; Management information systems ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by Intel Data pipelines are the foundation for success in data analytics, so understanding how they work is of the utmost importance. Join us for hours of expert-led sessions that will give you insight into how data is moved, processed, and transformed to support analytics and reporting needs. You'll also learn how to address common challenges like monitoring and managing broken pipelines, explore considerations for choosing and connecting open source frameworks, commercial products, and homegrown solutions, and more. About the Data Superstream Series: This three-part Superstream series is designed to help your organization maximize the business impact of your data. Each day covers different topics, with unique sessions lasting no more than four hours. And they're packed with insights from key innovators and the latest tools and technologies to help you stay ahead of it all. What you'll learn and how you can apply it Learn how to build, deploy, and run a fully functioning ETL pipeline with Airflow Discover how to build robust data pipelines at scale Understand challenges in managing and monitoring hundreds of thousands of pipelines--and get tips on automating them Explore approaches to historical data preprocessing and data lifecycle management This recording of a live event is for you because... You're a data or software engineer or solution architect interested in learning about the latest trends in moving, processing, and transforming data. You want to learn how to address common challenges and improve the scalability and stability of your pipelines. You want to better understand the systems that you already use and learn how to take full advantage of their capabilities. Recommended follow-up: Read Data Pipelines Pocket Reference (book) Read Data Science on AWS (book) Read Data Quality Fundamentals (early release book) Read What Is Data Observability? (report) Explore Build a Robust Data Pipeline (four-part interactive scenario set).
    Note: Online resource; title from title details screen (O'Reilly, viewed August 24, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
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