Machine Learning and Cognition in Enterprises

Business Intelligence Transformed
1. Auflage 2017
ISBN: 978-1-4842-3068-8
Verlag: Apress

Buch, Englisch, 306 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 5095 g

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kumar, Rohit

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Chapter 1:  Journey of Business Intelligence.- Chapter 2:  Why Cognitive and Machine Learning.- Chapter 3: Artificial Intelligence Basics.- Chapter 4: Machine Learning Basics.- Chapter 5: Natural language Processing.- Chapter 6: Predictive analytics.- Chapter 7: Cognitive Computing.- Chapter 8: Principle for cognitive designed systems.- Chapter 9: New Term : Self/Parallel Evolving IT-BI systems.- Chapter 10: Roadmap for Transformation.- Chapter 11: Roadblocks for Transformation.- Chapter 12: Self evolving Cognitive business systems.- Chapter 13: Path Ahead.

Über Autor(innen)

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.