Decision intelligence is a practical area that constitutes a broad range of decision-making skills that combine several traditional and advanced disciplines to design, model, align, execute, monitor, and tune decision models and processes.
Brethenoux says decision intelligence can help businesses stay competitive and meet market demands by providing an automated way to make decisions.
As the urgency to digitize and gain competitiveness in new technologies such as artificial intelligence (AI) and machine learning (ML) is rapidly increasing, decision intelligence is emerging as a solution that can connect decision support, decision management, and complex system applications.
AI can be a rather vague concept, but decision intelligence is more specific. Because DI is results-driven. DI solutions are built to achieve your business goals.
Commercial AI strategies today are plagued by numerous challenges that limit their effectiveness.
Gartner predicts that more than 33% of large organizations will have analysts running decision intelligence by 2023. This discipline provides a framework to assist data and analytics practitioners in developing, modeling, tuning, implementing, tracking, and modifying decision-making models and processes. It relates to business results and performance.
One of today’s top priorities for organizations is to become an analytics and AI-powered enterprise to meet changing customer needs, thrive among new digital competitors, and become more resilient and responsive to change.
DI is specifically the commercial application of AI to decision-making processes. We always focus on results, providing recommended actions that address specific business needs. What sets DI apart? A solution must provide a tangible ROI before it can be classified as DI.