Artificial Intelligence for Business Processes

LATEST THINKING

As the dynamism of markets increases, some businesses have found themselves held back by rigid processes. The migration to more flexible, outcome-driven approaches has helped many organizations. Some market leaders have moved further ahead by implementing advanced artificial intelligence (AI) technologies to facilitate the transition.

How are leading businesses deploying AI for an outcome-driven world? Find out more:

WHAT’S NEXT?

In the 2017 Accenture Technology Vision, 85 percent of executives said they’ll be investing extensively in AI-related technologies over the next three years. However, implementing advanced artificial intelligence systems requires a change in mindset, as well as investments in key areas. You should:

Take a new perspective

Base the transformation on existing best practices and business expertise.

Leverage the right data

Openly communicate the needs of different business units and operations, so you can collect the right data and fully leverage that information.

Combine solutions

Combine knowledge-driven approaches with data-driven methods, and mix machine learning with machine reasoning.

Design technology for people

Aim for well-designed AI systems that adapt to people, for effective human and machine cooperation.

Rethink outsourcing

Rethink outsourcing and service level agreements as you move toward outcome-based approaches.