Uncertainty equals risk in IT systems, so the issue is the uncertainty inherent in AI. This is perhaps the single greatest difference between AI and everything that has come before. It is a paradigm shift from deterministic to probabilistic systems.

This conversation explores:

- Definitions of probabilistic vs deterministic systems.

- How organizations have managed deterministic systems.

- Why AI is probabilistic and not deterministic.

- What that shift means for organizations.

- How organizations can manage the uncertainty/ambiguity that comes with probabilistic systems.

Similar episodes:

- Beyond generative AI: https://www.soundcloud.com/catalyte-sourcing-for-innovation/beyond-generative-ai

- AI risk management: https://www.soundcloud.com/catalyte-sourcing-for-innovation/ai-risk-management

- The impact of different data types on AI implementation: https://www.soundcloud.com/catalyte-sourcing-for-innovation/data-impact-ai-implementation

- What AI do you need?: https://www.soundcloud.com/catalyte-sourcing-for-innovation/what-ai-do-you-need

For more information on Catalyte’s AI advisory services, visit: https://www.catalyte.io/services/solutions/ai-advisory-services/