Machine Learning and Cognition in Enterprises: Business Intelligence Transformed - Softcover

Kumar, Rohit

Softcover

ISBN 10: 148423068X ISBN 13: 9781484230688

Publisher: Apress, 2017

Synopsis

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial intelligence started and how cognitive computing developed out of it. He'll explain every aspect of machine learning in detail, the reasons for changing business models to adopt it, and why your business needs it.

Along the way you'll become comfortable with the intricacies of natural language processing, predictive analytics, and cognitive computing. Each technique is covered in detail so you can confidently integrate it into your enterprise as it is needed. This practical guide gives you a roadmap for transformin

g your business with cognitive computing, giving you the ability to work confidently in an ever-changing enterprise environment.

 What You'll Learn 

• See the history of AI and how machine learning and cognitive computing evolved
• Discover why cognitive computing is so important and why your business needs it
  
• Master the details of modern AI as it applies to enterprises
• Map the path ahead in terms of your IT-business integration
• Avoid common road blocks in the process of adopting cognitive computing in your business

Who This Book Is For

Business managers and leadership teams.

About this title

About the Author

Rohit Kumar has a Masters in Computer Science including Artificial Intelligence and Business Intelligence.  He has been working as Sr. Enterprise Architect into Business Intelligence Data, Business.  He has experience of consulting 30+ clients across globe in multiple industry verticals towards IT Transformation. Have experience with customers in various industries -  e.g. FMCG, RetArtificial Intelligence, Pharmaceutical, Telecommunication, Electronic, Education, Manufacturing, Healthcare, Logistics, Utilities, Banking, Real Estate, Artificial Intelligence, E-Commerce, Publishing.  Rohit also serves as guest lecturer for faculty development and PHD scholars for various universities while creating an extensive learning programs in SAP and Analytics for various organisations.

From the Back Cover

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial intelligence started and how cognitive computing developed out of it. He'll explain every aspect of machine learning in detail, the reasons for changing business models to adopt it, and why your business needs it.

Along the way you'll become comfortable with the intricacies of natural language processing, predictive analytics, and cognitive computing. Each technique is covered in detail so you can confidently integrate it into your enterprise as it is needed. This practical guide gives you a roadmap for transformin

g your business with cognitive computing, giving you the ability to work confidently in an ever-changing enterprise environment.

You will:

• See the history of AI and how machine learning and cognitive computing evolved
• Discover why cognitive computing is so important and why your business needs it
  
• Master the details of modern AI as it applies to enterprises
• Map the path ahead in terms of your IT-business integration
• Avoid common road blocks in the process of adopting cognitive computing in your business

Edition details

• Publisher: Apress
• Publication date: 2017
• Language: English
• ISBN 10: 148423068X
• ISBN 13: 9781484230688
• Binding: Paperback
• Edition number: 1
• Number of pages: 334