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mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: IoT, AI, and Blockchain for .NET
    sub title: Building a Next-Generation Application from the Ground Up
  name:
    name part: Pathak, Nishith.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Bhandari, Anurag.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXI, 308 p. 149 illus. online resource.
  abstract: Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you'll get hands-on experience building an example solution that uses all of these technologies-an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you'll be confident creating richer and smarter applications using these technologies. What You'll Learn: Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data This book is for novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application. Nishith Pathak is Vice President at Accenture Technology Labs, a Microsoft Regional Director (RD), and an artificial intelligence Microsoft MVP. He helps Fortune 100 companies design and architect next-generation solutions that incorporate AI, ML, cognitive services, Blockchain, and more. He sits on several technical advisory boards across the globe, and is author of m…
  table of contents: 1. The Artificial Intelligence 2.0 Revolution -- 2. Understanding the Internet of Things and Azure IoT Suite -- 3. Creating Smart IoT Applications -- 4. Understanding Cognitive APIs -- 5. Consuming Microsoft Cognitive APIs -- 6. Building Smarter Applications Using Cognitive APIs -- 7. Understanding Blockchain -- 8. Implementing Blockchain as a Service -- 9. Capturing, Analyzing, and Visualizing Real-time Data -- 10. Making Predictions with Machine Learning.
  note: by Nishith Pathak, Anurag Bhandari.
  subject:
    topic: Microsoft software
  subject:
    topic: Microsoft .NET Framework
  subject:
    topic: Computer communication systems
  subject:
    topic: Artificial intelligence
  subject:
    topic: Microsoft and .NET
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Artificial Intelligence
  classification: QA76.76.M52
  classification: 004.165
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484237090
  identifier: https://doi.org/10.1007/978-1-4842-3709-0
  record info:
    record creation date: 180814
    record change date: 20191024213017.0
    record identifier: 978-1-4842-3709-0