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  • 1
    Online Resource
    Online Resource
    Product Management for AI (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The increasing push to develop products that integrate AI puts the intersection of AI and product management into sharp focus. AI brings many challenges to traditional product management, including nondeterministic outcomes and the potential for bias against particular groups. These problems aren't insurmountable, but they're real, and they cause many projects to fail before they're deployed. In this report, authors Justin Norman, Pete Skomoroch, and Mike Loukides present four in-depth essays to help business leaders, AI specialists, and data scientists examine what makes AI different. Once you're familiar with the issues, you'll be better prepared to anticipate and solve the problems you face as you develop an AI project and shepherd it into production. Originally published in O'Reilly Radar, each of these essays provides helpful supporting examples. Essays include: "What You Need to Know about Product Management for AI," by Pete Skomoroch and Mike Loukides "Practical Skills for the AI Product Manager," by Pete Skomoroch, Mike Loukides, and Justin Norman "Bringing an AI Product to Market," by Pete Skomoroch, Mike Loukides, and Justin Norman "AI Product Management after Deployment," Mike Loukides and Justin Norman
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    2021 Data/AI Salary Survey (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (25 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Curious about what technologies will have the biggest impact on salaries in the coming year? Want to determine whether a particular certification is worth going for? Looking for the most lucrative programming language to learn next? Are you hiring for a data team? Or do you just want to see how your skills and salary compare to others in the field? Get answers to your salary questions in the 2021 Data/AI Salary Survey .
    Note: Online resource; Title from title page (viewed October 13, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Technology Trends for 2022 (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: In this report, we look at the data generated by the O'Reilly online learning platform to discern trends in the technology industry: trends technology leaders need to follow.
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    What Is Causal Inference? (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (40 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Causal inference lies at the heart of our ability to understand why things happen by helping us predict the results of our actions. This process is vital for businesses that aspire to turn data and information into valuable knowledge. With this report, data scientists and analysts will learn a principled way of thinking about causality, using a suite of causal inference techniques now available. Authors Hugo Bowne-Anderson, a data science consultant, and Mike Loukides, vice president of content strategy at O'Reilly Media, introduce causality and discuss randomized control trials (RCTs), key aspects of causal graph theory, and much-needed techniques from econometrics. You'll explore: Techniques from econometrics, including randomized control trials, the causality gold standard used in A/B-testing The constant-effects model for dealing with all things not being equal across the groups you're comparing Regression for dealing with confounding variables and selection bias Instrumental variables to estimate causal relationships in situations where regression won't work Techniques from causal graph theory including forks and colliders, the graphical tools for representing common causal patterns Backdoor and front-door adjustments for making causal inferences in the presence of confounders
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    Where Programming, Ops, AI, and the Cloud Are Headed in 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (20 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: In this report, we look at the data generated by the O'Reilly online learning platform to discern trends in the technology industry: trends technology leaders need to follow.
    Note: Online resource; Title from title page (viewed January 25, 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.
  • 6
    Online Resource
    Online Resource
    AI Adoption in the Enterprise 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (23 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: There's no question: more people are using AI than ever before, and companies across industries are striving to get AI projects up and running. But how many have actually put revenue-bearing products into production? And how does your own organization measure up? In this new report, Mike Loukides, O'Reilly's vice president of content strategy, shares the results of a recent survey on how companies are adopting AI. You'll learn how (and where) AI use has grown over the past year, the significant barriers that remain, and the techniques and tools developers are--or should be--using for their applications.
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 7
    Online Resource
    Online Resource
    The Cloud in 2021 : Adoption Continues (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (34 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Our report last year on cloud adoption showed 88% of respondents were using the cloud, and 25% said their organizations planned to move all their applications to the cloud in the coming year. But that report was done in January 2020 at the start of the pandemic. And let's face it, a lot has changed since then. So we ran another global survey at the end of July 2021 to see what kind of effect the lockdown has had on cloud adoption. Did organizations pump the brakes or hit the accelerator? Are different industries leaning toward one provider or another, and what are their biggest concerns? Are more organizations going with multicloud strategies? We dug into the data to get answers to the biggest questions and laid them all out in this in-depth report.
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    Microservices Adoption in 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (21 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Everyone's talking about microservices. Who's actually doing it?
    Note: Online resource; Title from title page (viewed July 7, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    What is data science? (2011)
    Beijing : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (13 p.) , ill.
    Keywords: Science ; Data processing ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.
    Note: Date of publication from resource description page. - "O'Reilly strata making data work"--Cover
    URL: https://learning.oreilly.com/library/view/-/9781449336080/?ar
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