Machine Learning and Cognition in Enterprises: Business Intelligence Transformed - Tapa blanda

Acerca del autor

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.

De la contraportada

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

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