Trusted Intelligence is a value-first approach that reframes how organizations obtain, manage, use and scale data.
Intelligent technologies — such as robotic process automation and artificial intelligence (AI), including speech recognition, natural language processing, and computer vision — exploit data in ways that generate huge opportunities.
But trust gaps have emerged between what data and technology can do and what people are willing to let it do — limiting growth, slowing innovation and stalling transformation initiatives. Regulatory policies and rules can’t move at the speed of intelligent technologies, which keep evolving.
These trust gaps will increase until organizations create data-powered intelligence that can be trusted by customers, markets, ecosystems and regulators. We call this Trusted Intelligence.
Trusted Intelligence embeds trust in a way that tangibly governs behaviors, processes, business models and outcomes as data moves through an organization — enabling the creation of long-term value.