Companies that proactively embrace management of AI risks see this as a journey, and not a point-in-time event. This resonates with the approach we take at Adaptive.AI in helping companies make confident strides to enable AI trust with customers, stakeholders and future legislations.
Our services enable companies to ‘pivot’ from a place of disarray to a baseline model, then ‘transform’ and ‘adapt’ to future regulatory requirements. There’s no need to boil the ocean or do it all at once.
Top performing companies recognize AI trust as a revenue-enablers alongside achieving performance. The dual imperatives indicate that the choices should be “and” and not “or”. Performance and Trust go hand in hand and is a component of business use case benefit realization.
Companies should strive to achieve an optimal risk-taking culture and accelerate the transition to a baseline model. This will reinforce confidence, motivate employees and build trust with your customers and partners.
We share with you the many pillars of trust and draw your attention on one of the sub-domains under the pillar of ‘Data as your strategic asset’ – Data Governance. We show:
- What each component under Governance means
- Common pitfalls we see in the market
- What sets best companies apart
- Impact this makes
- Where are we today?
- Does this align with where we want to be?
- What do we need to do to get there and is that worth the effort?
Regarding meeting your goals of AI in preserving performance while balancing risks and gaining trust.