Name: AI & ML - Powering the Agents of Automation
Price: 19.95 USD
ISBN: 9789388511636

BPB Online LLP

Deepika M, Vijay Cuddapah, Amitendra Srivastava, Srinivas Mahankali

AI & ML - Powering the Agents of Automation

US$ 19.95

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Description

Contents

Reviews

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

Introduction to Automated Personal Assistants: Past, Present & The Future
Disruptive models led by digitization
Machine Learning and Artificial Intelligence, The languages of Automation
Internet Of Things , Industry 4.0 And Factories Of Tomorrow
Robots
Robotic Process Automation
Drones
Chatbots & Voice Assistants
Autonomous Cars
Artificial Intelligence & Automation Gone Wrong
Blockchain-The New Generation Tool For Cybersecurity
Blockchain As A Protector Of The Agents Of Automation
Summary and Conclusion
Chapter Wise Questions
Glossary: Agents Of Automation

Language

English

ISBN

9789388511636

artificial intelligence

artificial intelligence

Cover

AI and ML Powering the Agents of Automation

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. Blockchain–The New Generation tool for Cybersecurity

Introduction:

Structure:

Objective:

What is a Blockchain?

Enterprise Blockchains (Private And Consortium Permissioned)

Summarising Blockchain’s Features:

Blockchain’s 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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