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The Hidden Layer of AI: What Does It Take to Trust AI at Scale?
Wednesday 12:20 - 13:05
Roundtable
Florian Carrier
Strategic Solution Consultant
AI is becoming easier to deploy. Building the trust to use it across critical business processes is proving much harder.
Many organizations have modern data platforms, AI tools and ambitious roadmaps, yet still face a fundamental question: what needs to be true before we can confidently rely on AI at scale?
Beyond the technology, trust depends on whether the data, business logic and processes behind AI outcomes meet the four principles of VURA: Visible, Understandable, Repeatable and Auditable. Without VURA, AI outputs may be powerful, but they are difficult to explain, govern and scale with confidence.
This interactive roundtable brings together Data, Analytics and AI leaders to explore these four dimensions of trustworthy AI. Through an open peer discussion, participants will share experiences, compare approaches and discuss how governance, business logic and ownership can help turn AI ambition into trusted business outcomes.
Many organizations have modern data platforms, AI tools and ambitious roadmaps, yet still face a fundamental question: what needs to be true before we can confidently rely on AI at scale?
Beyond the technology, trust depends on whether the data, business logic and processes behind AI outcomes meet the four principles of VURA: Visible, Understandable, Repeatable and Auditable. Without VURA, AI outputs may be powerful, but they are difficult to explain, govern and scale with confidence.
This interactive roundtable brings together Data, Analytics and AI leaders to explore these four dimensions of trustworthy AI. Through an open peer discussion, participants will share experiences, compare approaches and discuss how governance, business logic and ownership can help turn AI ambition into trusted business outcomes.
AI is becoming easier to deploy. Building the trust to use it across critical business processes is proving much harder.
Many organizations have modern data platforms, AI tools and ambitious roadmaps, yet still face a fundamental question: what needs to be true before we can confidently rely on AI at scale?
Beyond the technology, trust depends on whether the data, business logic and processes behind AI outcomes meet the four principles of VURA: Visible, Understandable, Repeatable and Auditable. Without VURA, AI outputs may be powerful, but they are difficult to explain, govern and scale with confidence.
This interactive roundtable brings together Data, Analytics and AI leaders to explore these four dimensions of trustworthy AI. Through an open peer discussion, participants will share experiences, compare approaches and discuss how governance, business logic and ownership can help turn AI ambition into trusted business outcomes.
Many organizations have modern data platforms, AI tools and ambitious roadmaps, yet still face a fundamental question: what needs to be true before we can confidently rely on AI at scale?
Beyond the technology, trust depends on whether the data, business logic and processes behind AI outcomes meet the four principles of VURA: Visible, Understandable, Repeatable and Auditable. Without VURA, AI outputs may be powerful, but they are difficult to explain, govern and scale with confidence.
This interactive roundtable brings together Data, Analytics and AI leaders to explore these four dimensions of trustworthy AI. Through an open peer discussion, participants will share experiences, compare approaches and discuss how governance, business logic and ownership can help turn AI ambition into trusted business outcomes.
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