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  • 1
    Online Resource
    Online Resource
    Building analytics teams : harnessing analytics and artificial intelligence for business improvement (2022)
    [Birmingham, UK] : Packt Publishing
    Details
    ISBN: 9781837636624 , 1837636621
    Language: English
    Pages: 1 online resource (1 sound file (12 hr., 5 min.))
    Edition: [First edition].
    DDC: 001.42
    Keywords: Quantitative research ; Business planning ; Audiobooks
    Abstract: Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI About This Audiobook Learn to create an operationally effective advanced analytics team in a corporate environment Select and undertake projects that have a high probability of success and deliver the improved top and bottom-line results Understand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your team In Detail In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The audiobook demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The audiobook dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the audiobook explains how to govern executive expectations and select winning projects. By the end of this audiobook, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. Audience This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 10, 2023)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Data for all (2023)
    Shelter Island, New York : Manning Publications
    Details
    ISBN: 9781633438774 , 1633438775
    Language: English
    Pages: 1 online resource (xxvi, 163 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 658.05
    Keywords: Business Data processing ; Data protection ; Big data
    Abstract: The data you generate every day is the lifeblood of many large companies—and they make billions of dollars using it. In Data for All, bestselling author John K. Thompson outlines how this one-sided data economy is about to undergo a dramatic change. Thompson pulls back the curtain to reveal the true nature of data ownership, and how you can turn your data from a revenue stream for companies into a financial asset for your benefit.
    Note: Includes bibliographical references and index. - Description based on print version record
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  • 3
    Online Resource
    Online Resource
    Data for all (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (7 hr.)) , sound, color.
    Edition: Video edition.
    DDC: 658/.05
    Keywords: Business Data processing ; Data protection ; Big data ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Do you know what happens to your personal data when you are browsing, buying, or using apps? Discover how your data is harvested and exploited, and what you can do to access, delete, and monetize it. Data for All empowers everyone--from tech experts to the general public--to control how third parties use personal data. Read this eye-opening book to learn: The types of data you generate with every action, every day Where your data is stored, who controls it, and how much money they make from it How you can manage access and monetization of your own data Restricting data access to only companies and organizations you want to support The history of how we think about data, and why that is changing The new data ecosystem being built right now for your benefit The data you generate every day is the lifeblood of many large companies--and they make billions of dollars using it. In Data for All, bestselling author John K. Thompson outlines how this one-sided data economy is about to undergo a dramatic change. Thompson pulls back the curtain to reveal the true nature of data ownership, and how you can turn your data from a revenue stream for companies into a financial asset for your benefit. About the Technology Do you know what happens to your personal data when you're browsing and buying? New global laws are turning the tide on companies who make billions from your clicks, searches, and likes. This eye-opening book provides an inspiring vision of how you can take back control of the data you generate every day. About the Book Data for All gives you a step-by-step plan to transform your relationship with data and start earning a "data dividend"--hundreds or thousands of dollars paid out simply for your online activities. You'll learn how to oversee who accesses your data, how much different types of data are worth, and how to keep private details private. What's Inside The types of data you generate with every action, every day How you can manage access and monetization of your own data The history of how we think about data, and why that is changing The new data ecosystem being built right now for your benefit About the Reader For anyone who is curious or concerned about how their data is used. No technical knowledge required. About the Author John K. Thompson is an international technology executive with over 37 years of experience in the fields of data, advanced analytics, and artificial intelligence. Quotes An honest, direct, pull-no-punches source on one of the most important personal issues of our time....I changed some of my own behaviors after reading the book, and I suggest you do so as well. You have more to lose than you may think. - From the Foreword by Thomas H. Davenport, author of Competing on Analytics and The AI Advantage A must-read for anyone interested in the future of data. It helped me understand the reasons behind the current data ecosystem and the laws that are shaping its future. A great resource for both professionals and individuals. I highly recommend it. - Ravit Jain, Founder & Host of The Ravit Show, Data Science Evangelist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    Causal artifical intelligence : the next step in effective business AI (2024)
    Hoboken, NJ : Wiley
    Details
    ISBN: 9781394184149 , 139418414X , 9781394184156 , 1394184158 , 9781394184132
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 006.3/33
    Keywords: Qualitative reasoning ; Raisonnement qualitatif
    Abstract: Discover the next major revolution in data science and AI and how it applies to your organization In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book's discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings. Useful for both data scientists and business-side professionals, the book offers: Clear and compelling descriptions of the concept of causality and how it can benefit your organization Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems Useful strategies for deciding when to use correlation-based approaches and when to use causal inference An enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.
    Note: Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on September 11, 2023)
    URL: lizenzpflichtig
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  • 5
    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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