Decision augmentation is turning the world’s data into knowledge for decision-makers.

The volume and variety of data sources are overwhelming. Business leaders are forced to make decisions based on fragmented data that lacks personal context. Decision augmentation can empower business leaders in marketing, communications, and a range of other industries to make more efficient, effective decisions.

Machine learning technology transforms data to knowledge—unearthing topics and entities, sentiment and saliency, clustering, and ranking—and transforms this morass of information into structure so a decision-maker can derive meaning from the world’s data.

Decision augmentation creates a human-AI feedback loop that evolves. The more interaction with the system, the better it understands the user and the more effective it becomes. It learns to understand the landscape, benchmark and index against an organization's own strategy, and surface unknown unknowns. This allows an organization to receive suggestions and predictions about issues and events that matter to them, in real-time.

By using AI to augment decision-making at an executive level, business leaders transform how decisions are made, and through that continue to grow their revenue, and deliver more to shareholders, customers, the community around them, and all the stakeholders that modern companies are accountable.

This Course is a recording of one of the main stage talks at the Marketing Artificial Intelligence Conference (MAICON), which was held virtually in 2021.