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  • Securing a Connected Future

    IoT Cybersecurity & IP Security for Makers and Users of Medical Technology

    Collections series Biomedical and Life Sciences (R0)
    This book demonstrates how robust cybersecurity measures are essential for protecting intellectual property. By intertwining these two critical areas, the authors aim to provide a unified framework that enhances the security and value of medical technology innovations. With those points in mind, the authors of this book explore the topics of cybersecurity and intellectual property (IP) within the ... En savoir plus

    $179.99 CAD

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    Healthcare is an industry unlike any other — it's a matter of life and death, and no field poses as much reward or as many challenges for tech entrepreneurs.Before Disrupting Healthcare is a must-read for anyone working on, or investing in, health information products. A Health IT veteran draws on a dozen years of real-world experience to bring you to the leading edge of health software innovation ... En savoir plus

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  • Architecting AI Software Systems

    Crafting robust and scalable AI systems for modern software development

    Discover how to design intelligent software systems by balancing AI and traditional architecture. This guide offers a roadmap for robust, scalable AI-enabled systems, blending principles with practical insights.Key FeaturesLearn to integrate AI with traditional software architectures, enabling architects to design scalable, high-performance systemsExplore key tools and processes to mitigate risks ... En savoir plus

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  • Problem Management:: A Practical Guide

    The IT Service Management process known as Problem Management is more than simply restoring services and applying permanent fixes to incidents; it is about providing a stable and available infrastructure that supports business processes and enables the success of the business. ... En savoir plus

    $60.99 CAD ou Gratuit avec Kobo Plus

  • Architectures for the Intelligent AI-Ready Enterprise

    Building real-world solutions with MongoDB

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  • AI-Native LLM Security

    Threats, defenses, and best practices for building safe and trustworthy AI

    Unlock the secrets to safeguarding AI by exploring the top risks, essential frameworks, and cutting-edge strategies—featuring the OWASP Top 10 for LLM Applications and Generative AI DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesUnderstand adversarial AI attacks to strengthen your AI security posture effectivelyLeverage insights from LLM security experts to navigate emerging ... En savoir plus

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  • Incident Management

    par Selwyn Classen ...
    In this course, you will learn about the goals, objectives, interfaces, and purpose of Incident Management, a key ITIL® process, and how it is used in real life. ... En savoir plus

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  • Analytics for Business Success

    A Guide to Analytics Fitness

    par Hema Seshadri, Ph.D. ...
    Harness the power of analytics to revolutionize your business.Analytics is transforming the business landscape. All over the world, companies are using data to plan, invent, evolve, and gain critical insight into their customers, markets, and operations. The hype around analytics is well justified—but implementing an analytics initiative in practice is no easy task. Most analytics projects never ... En savoir plus

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  • AI in Healthcare

    How Artificial Intelligence Is Changing IT Operations and Infrastructure Services

    The best source for cutting-edge insights into AI in healthcare operationsAI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services collects, organizes and provides the latest, most up-to-date research on the emerging technology of artificial intelligence as it is applied to healthcare operations.Written by a world-leading technology executive specializing ... En savoir plus

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  • Transforming Healthcare with DevOps

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  • It's All Analytics - Part II

    Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization

    Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In ... En savoir plus

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