What is it?

  • Artificial (or Machine) Intelligence is progressing rapidly due to increased computing power and superior software, notably in the area of neural networks-based deep learning; AI is often only an API call or web service away.
  • AI is best illustrated by its cognitive capabilities coupled with human-like capabilities such as image recognition, understanding, speech production, complex text analysis, and —most notably—gaming strategy.
  • Pattern matching also enables split-second, “fuzzy” decision making based on huge amounts of parallel data.
  • AI works best by collaborating with humans rather than replacing them; in either case, ethical dilemmas will surface.

How do we use it?

  • Capgemini brings more IQ to its own (BPO) business services through combining an automation of process steps with AI-enabled analysis and resolution of service requests. It also uses cognitive capabilities to facilitate complex contract management, optimize people matching for assignments, and drastically speed up testing.
  • A large financial clearing house uses cognitive natural language capabilities to turn piles of unstructured financial brochures into 80 well-defined data points.
  • AI-powered drones combine image recognition and supervised learning to automatically count and control stocks in large warehouses.

Potential impact:

  • Cost effectiveness, improved productivity and higher quality through “smart” automation of human tasks
  • Capturing and leveraging collective knowledge as well as decreasing the dependency on undocumented, individual expertise and experience
  • Adding “IQ” to products, services, and devices or even “things,” making them more conversational, autonomous, and accurate
  • Ultimately enabling entirely new business models