Scaling AI Value Through Trust, Risk & Governance

Integrating risk management, trust, and adaptive governance is essential to scaling AI and maximizing business value

How do I manage risk, trust and governance related to business value?

Risk, trust and governance are not an afterthought, but a strategic priority. Data, analytic and AI leaders must evaluate the impact of risk, trust in the data, and adapt relevant governance models to protect and enhance the business value of data & analytic investments. 
Option 1

60%

of organizations will fail to realize AI value by 2027 due to a lack of integration between Data Governance and AI Governance

Three actions to realize AI value

Balance Value & Risk
Balance data, analytics and AI value with risk reduction.

  • Build a strong relationship with legal counsel
  • Develop essential legal knowledge 
  • Proactively mitigate risks effectively

Build a Data-Driven Culture
Influence mindset and behaviors to enable and articulate value.

  • Drive a shift in mindset and behaviors 
  • Permeate trust in data, analytics and AI
  • Encourage accountability and responsible use at scale

Apply Adaptive Governance
Apply business-value-focused D&A governance to drive innovation.

  • Focus governance on value-driven outcomes
  • Enable data-driven innovation resonsibly
  • Modernize D&A governance for the GenAI era