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

With the artificial intelligence (AI) age upon us, many organizations (from startups, nonprofits to large companies) have already started investing in the process to leverage it, allowing them to create competitive advantages never imagined possible before. The difficulty in getting started with AI is what business problems focus on, how to unpack that problem and what components need to be considered before you continue investing money and time Data Empathy is a simple easy-to-use framework allowing you to demystify and get started with AI in your organization quickly.

Every organization today is a data company. No effective decision can be made without it. Data is the core of any 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 created in the last few years and only 12% 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 ocean of data to help them gain a competitive advantage. It requires new methods such as machine learning (subset of AI) and new thinking like building Data Empathy to harness this new asset.

Building to Data Empathy is the first step that you need to take before you start investing in any AI application development. It is a process of gaining an understanding of how the data travels throughout the organisation, 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 understanding. The Data Empathy Canvas allows us to structurally think about your AI initiative and each component. It is a first attempt to capture what we believe is true and systematically test each component of the canvas to ensure our AI application 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.