Data Empathy: Developing AI-driven business solutions for human augmentation

Description

Every organization today is a data company. No effective decision can be made without it. Data is the core of any artificial intelligence (AI) algorithm. AI uses data to discover patterns and relationships not possible with conventional technology. According to IBM and Forrester research (respectively), 90% of the world's data was created in the last few years and only 12% is being effectively leveraged; organizations today are overwhelmed by the 5Vs of data: Volume, Velocity, Variety, Value and Veracity. Traditional systems and processes cannot handle the 5Vs of data to help them gain a competitive advantage. It requires new thinking like Data Empathy. Data Empathy is a framework allowing you to demystify and get started with your AI initiative quickly and systematically. Building to Data Empathy is the first step that you need to take before you start investing in any AI initiative. It is a process of gaining an understanding of how the data travels throughout the organization, how it is used, what system and processes support it, and what actions are derived from it. In this book you will learn about a simple tool: Data Empathy Canvas to help you gain this Data Empathy. The Data Empathy Canvas allows us to structurally think about your AI goals, rules and datasets and systematically test and validate each component before investing any more time or money. The aim is to ensure your AI initiative's requirements are based on validated learnings not assumptions. Using proven management consulting techniques, data mining, design thinking and lean startup methods, this book will walk you through an approach to discover, set up, experiment and embed AI in your organization. Written by a successful AI startup founder (backed by The Coca-Cola Company and Data61/CSIRO); this book describes a proven approach in developing operational ready AI solutions for any organization.