Chapter 2. Artificial intelligence for core business data

 

This chapter covers

  • Looking at business data in terms of dollar density and business impact
  • Using supervised learning to predict key information
  • Comparing machine learning to conventional software engineering
  • Case studies: Using AI to create new business lines and optimize processes

This chapter covers core business data , the type of data that’s closest to the value proposition of your business. Core business data is the secret sauce that makes your organization tick. It’s the order data collected by commercial operations, the human interactions tracked by social networks, and the blood-pressure measurements tracked by a health-care startup. Because core business data is at the heart of the organization, it’s also a prime candidate for your first AI applications. Doing AI on core business data is like cheating: the data is so close to the value-generating engine of the organization that successful projects are almost guaranteed to make a dramatic impact.

2.1 Unleashing AI on core business data

2.2 Using AI with core business data

2.2.1 The real estate marketplace example

2.2.2 Adding AI capabilities to FutureHouse

2.2.3 The machine learning advantage

2.2.4 Applying AI to general core business data

2.3 Case studies

2.3.1 How Google used AI to cut its energy bill

2.3.2 How Square used AI to lend billions to small businesses

2.3.3 Case studies lessons

2.4 Evaluating performance and risk

Summary