Getting Started with Artificial Intelligence: A Practical Guide to Building Enterprise Applications (Paperback)

Artificial intelligence techniques are becoming a fundamental component of business growth across a wide range of industries. Enterprise technologies that automate and detect patterns can augment human expertise, empowering both employees and applications to make richer, more data-driven decisions.'box-sizing: border-box; padding: 0px; margin-top: 0em; margin-bottom: 1em; margin-left: 1em; font-family: "Amazon Ember", Arial, sans-serif; font-size: small; background-color: rgb(255, 255, 255);'Complete with case studies, implementation examples, and a survey of the current landscape, this book serves as an ideal starting point for your journey into enterprise AI.'box-sizing: border-box; padding: 0px; margin-top: 0em; margin-bottom: 1em; margin-left: 1em; font-family: "Amazon Ember", Arial, sans-serif; font-size: small; background-color: rgb(255, 255, 255);'As a developer tasked with building enterprise-level AI applications, youre looking to learn about the tools and techniques that will help you get the job done. In this book, authors Tom Markiewicz and Josh Zhengdeveloper advocates for IBM Watsonexplore three of the more common uses for AI in the enterprise: natural language processing (NLP), computer vision, and chatbots.You'll also learn methods for creating a data pipeline that forms the backbone for building these applications.
Explore why NLP is the key to mining unstructured data in emails, articles, blog posts, customer support discussions, and other documents
Gain practical tips for building chatbots, and learn how these applications are used in the customer support and e-commerce industries
Examine capabilities that computer vision brings to your applications, including image classification and tagging
Get a high-level guide to data pipelinesthe backbone of your AI applications