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AI is remarkably good at producing plausible answers. But in an enterprise, plausible isn’t always enough.
In AI, Trust, and the Meaning of Data, Senior Staff Research Engineer/Scientist Dean Allemang explored what it takes to move from simply generating answers to understanding whether those answers are grounded in information we can trust.
If you joined us live, want to revisit the conversation, or missed the session altogether, you can catch up below.
Presentation deck attached below
Continue exploring Dean’s recommended reading:
• CSDM 5 White Paper Discussion
• Research Paper: A Benchmark to Understand the Role of Knowledge Graphs on Language Models Accuracy for Question Answering on Enterprise SQL Databases (Sequeda, Allemang, Jacob)
Keep learning with ServiceNow University
Want to go deeper? Check out these related resources:
• AI Essentials (Learning Path)
• Workflow Data Fabric (Learning Path)
• Platform Analytics Fundamentals (Instructor-Led Course)
• Product Lab Research Opportunity
Continue the conversation: When you use AI at work, what helps you decide whether you actually trust the answer it gives you?
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