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AI & ML - Powering the Agents of Automation - Helion

AI & ML - Powering the Agents of Automation
ebook
Autor: Deepika M, Vijay Cuddapah, Amitendra Srivastava, Srinivas Mahankali
ISBN: 9789388511636
stron: 242, Format: ebook
Data wydania: 2024-12-11
Księgarnia: Helion

Cena książki: 67,43 zł (poprzednio: 88,72 zł)
Oszczędzasz: 24% (-21,29 zł)

Dodaj do koszyka AI & ML - Powering the Agents of Automation

Learn Why, What, Where, When Who and How behind the technologies of the AI & ML powering the Agents of Automation in a simple manner.

Key Features

  • Explore various trends of Automation impacting our lives today.
  • Explains the reasons behind the proliferations of the various bots and autonomous agents.
  • Explores the various areas being impacted by the use of these new workforce made of machines.
  • Examines the components that make up Robots, Chatbots, Autonomous cars and Drones.
  • Throws a light on the various limitations and threats encountered by the Agents of Automation
  • Explores how, Blockchain can be used to protect IOT, Robots, Drones and Autonomous cars.
  • Throws a light on the various tools used to build Robots, Chatbots and RPA.
  • Outlines the steps undertaken to manage while building projects to deploy the Agents of Automation.

  • Description
    We are faced with automatic machines and autonomous agents gradually replacing a lot of activities, hitherto have been carried out by humans. From airports to call centers, shop floors in the factory to accounting and finance departments in large businesses, we are finding increasing applications of AI & ML led automation.
    Most of the time, the autonomous machines we interact with or work with, like the Robots, Drones and Self driving cars evoke awe, inspiration & perplexity at the same time. They seem to be the tools only used by the most technology empowered organizations and technology geeks.
    The effort of this book is to go under the veil of all these automation agents, explain their benefits and expose the way they work by leveraging hardware and software powered by AI & ML as well. We expect the book to demystify these technologies to the learners in a reader friendly manner without using too much of jargon, egging them to take the next step to develop a passion to follow and leverage these trends for their productivity and enhance their quality of life.

    What You Will Learn
    From this book, you will get a very good idea about the various agents of automation like IOT, Robots, Chatbots, and Robotic Process Automation, Drones and Autonomous cars. Why do we use these machines? Where do we use them? Where do we find their applications? What are the components that go into making of these machines? High level knowledge on how we can build them and what are the advantages, disadvantages, risks and appropriate way to limit these risks.

    Who This Book is For
    This book is for all the students and those passionate to get a fundamental knowledge on various aspects of Disruptive technologies prevalent today like IOT, AI, ML, Blockchain and Automation.
    Engineering students, CXOs in organizations, Government officials, Digital natives and the young generation of technology enthusiasts will find this book extremely interesting and informative.

    Table of Contents
    1. Introduction to Automated Personal Assistants: Past, Present & The Future
    2. Disruptive models led by digitization
    3. Machine Learning and Artificial Intelligence, The languages of Automation
    4. Internet Of Things , Industry 4.0 And Factories Of Tomorrow
    5. Robots
    6. Robotic Process Automation
    7. Drones
    8. Chatbots & Voice Assistants
    9. Autonomous Cars
    10. Artificial Intelligence & Automation Gone Wrong
    11. Blockchain-The New Generation Tool For Cybersecurity
    12. Blockchain As A Protector Of The Agents Of Automation
    13. Summary and Conclusion
    14. Chapter Wise Questions
    15. Glossary: Agents Of Automation
    16. Dodaj do koszyka AI & ML - Powering the Agents of Automation

     

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    Dodaj do koszyka AI & ML - Powering the Agents of Automation

    Spis treści

    AI & ML - Powering the Agents of Automation eBook -- spis treści

    • Cover
    • AI and ML Powering the Agents of Automation
    • Copyright
    • About the Author
    • Acknowledgements
    • Preface
    • Reviewers
    • Table of Contents
    • 1. Introduction to Automated Personal Assistants: Past, Present And Future
    • 2. Disruptive Models Led by Digitization
    • Introduction:
    • Structure:
    • Conclusion
    • 3. Machine Learning and Artificial Intelligence .
    • Introduction
    • Structure:
    • Objectives:
    • The Rise of Machine Learning
    • Computer Vision:
    • Data Analysis and Data Visualization:
    • General Purpose Ml:
    • Natural Language Processing:
    • Topic Modelling:
    • Resources For Learning Data Science
    • Case Study: Intel Openvino Toolkit for Advanced InduStry 4.0 Applications
    • Openvino Toolkit Contains:
    • Conclusion
    • 4. Internet of Things, Industry 4.0 and Factories of Tomorrow
    • Introduction:
    • Structure:
    • Objective:
    • What is Iot?
    • Data Management in a Typical Enterprise and the Threat of Single Point of Failure:
    • Conclusion
    • 5. Robots
    • Introduction:
    • Structure:
    • Objective:
    • Important Skills of A Robot:
    • Advantages and Disadvantages of Robots
    • Laws Of Robotics:
    • Systems in a Robot:
    • Components of a Robot
    • Planning the Project:
    • Procuring the Components and Assemblies:
    • Robot Microcontrollers
    • Robot Sensors
    • Robot Servos
    • Robot Arms and Legs:
    • Ros (Robot Operating System)
    • Microsoft Robotics Developer Studio
    • Evolution Of Robots And Their Increased Utility With The Advent of AI And Ml:
    • Robots and Automation in Airports:
    • Self Servicing Checkin Agents at the Airports:
    • Conclusion
    • 6. Robotic Process Automation
    • Introduction:
    • Structure:
    • Objective:
    • What is RPA or Robotic Process Automation?
    • Levels of RPA:
    • RPA And BPM (Business Process Management):
    • The Predominantly Types of Roles In RPA Projects:
    • Process Developers
    • Business Users
    • Solution Architects:
    • Technical Consultants
    • Developers and Project Managers:
    • Blueprism:
    • Uipath:
    • Kofax Kapow
    • Automation Anywhere
    • Nice:
    • Bots:
    • Considerations for Rpa Investments:
    • Examples of RPA Applications And Implementions
    • Automation Anywhere Enterprise BOT Management Platform
    • Some Use Cases:
    • Conclusion
    • 7. Drones
    • Introduction:
    • Structure:
    • Objective:
    • A Brief Overview of Drones:
    • Drones Body Comprises the Following Components:
    • What is a Drone?
    • History of a Drone:
    • How Does a Drone Work?
    • How Does it Fly?
    • Components of Drones
    • Types of Drones
    • According to a Number of Propellers:
    • Note:
    • Droned Based on Size:
    • According to Equipment:
    • AI in Drones
    • Terminology And Description:
    • Uses of AI in the Drone Industry
    • Summary And Conclusion
    • 8. Chatbots and Voice Assistants
    • Introduction:
    • Structure:
    • Objective:
    • What is a Chatbot?
    • Major Applications Of The Chatbot:
    • History of the Chatbot:
    • How Do Chatbots Work?
    • Rule-Based Versus Ai-Based Chatbots:
    • Good Bots
    • Bad Bots:
    • Key Steps to Build A Chatbot:
    • Oracle Intelligent Bots
    • Four Simple Steps to Bot Yourselfprerequisites:
    • Create A Bluemix Accountcreate A Conversation Instance
    • Chatbots On Facebook:
    • Chatbots in HR:
    • Chatbots The Disruption Ahead
    • Conclusion:
    • 9. Autonomous Cars
    • Introduction
    • Sructure:
    • Objective:
    • What are Autonomous Vehicles?
    • Autonomous Cars Use The Following Essential Technologies:
    • How AI Helps in Building Self-Driven Cars?
    • Challenges
    • Limitations
    • Other Limitations Of Autonomous Cars:
    • The Future Of The Autonomous Cars:
    • Summary And Conclusion
    • 10. Artificial Intelligence and Automation Gone Wrong
    • Introduction
    • Structure:
    • Objective:
    • Summary And Conclusions:
    • 11. BlockchainThe New Generation tool for Cybersecurity
    • Introduction:
    • Structure:
    • Objective:
    • What is a Blockchain?
    • Enterprise Blockchains (Private And Consortium Permissioned)
    • Summarising Blockchains Features:
    • Blockchains Security Tools:
    • Vulnerabilities in Blockchain Security
    • Challenges to Growth of Blockchain Ecosystems
    • Conclusion:
    • 12. Blockchain as a Protector of the Agents of Automation
    • Introduction:
    • Structure:
    • Objective:
    • Zigbee Chain Reaction Attack
    • Controlling Drones Through Blockchain For Security And Auditing
    • Securing Robots Through Blockchain
    • Conclusion:
    • 13. Summary and Conclusion
    • Conclusion:
    • Annexure - 1: Chapter Wise Questions .
    • Annexure -2 : Glossary: Agents of Automation

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