It’s a value-first approach that begins not with data, but with the outcome you want to achieve. From there, we look at:
- Business rules and models defining financial viability
- AI determining speed, experiences and behaviors
- Targeted data creating differentiation
- The enabling cloud-based technology supporting scale
Trust is the element that runs through each capability, ensuring reliability and credibility to the entire intelligent value chain.
Think of the speed and scale of recent disruptors. They started from a clear value proposition (“drive passengers” or “rent apartments”) and built competitive advantage through excellence; in each of their capabilities in the intelligent value chain and their ability to operate all of them in synch, seamlessly. Nonetheless, they would not have had a business unless people trusted them.
This is in sharp contrast to the traditional data-first approach — which treats data as an asset to be hoarded, extracted from the business, and siloed in expensive “data cathedrals,” and only then looks at ways to exploit value from it.
A Trusted Intelligence approach embeds trust into data on its journey to value creation. It does this through a framework of human governance. People are needed to align data-powered intelligence with an organization’s values and to adhere to ethical, social, regulatory, legal and business standards. With Trusted Intelligence, organizations can:
- Build world-class capabilities
- Leverage AI to control AI
- Define from the outset the quality and reliability of the targeted data
- Build on secure technologies and access controls
- Design trust consistently through frameworks and operating models
This results in a multitude of benefits. As data becomes more accessible throughout the organization, it drives better decision-making and risk management, and builds confidence with markets and partners. Ultimately it empowers your organization to win in the marketplace and deliver long-term value.
Equipping your organization to move at the speed of trust
With data sciences and technologies advancing at speed, the future cannot be fully predicted. But you need to understand the profound implications of data and intelligent technologies, based on advanced machine-learning algorithms and enabled by limitless cloud-based computing capacity. These implications span strategy, operations, risk, reputation, talent and financial investments.
How can you innovate while complying with complex regulations? How can you close trust gaps with customers? How can you be confident that the intelligence in your organization can be trusted?
The answer is Trusted Intelligence. Once trust is embedded throughout the enterprise, you can infuse confidence, innovate at speed and scale your business. This creates intelligent markets, in which companies reshape how we work and interact. As more enterprises earn this “badge” of Trusted Intelligence, it becomes a prerequisite for joining intelligent ecosystems, which connect us at speed across boundaries.
