John Koblinsky is Director of Research & Insights at SAP Concur, where he leads the research programs that guide product, marketing, and go-to-market strategy. Over a career spanning more than 20 years, he has helped organizations transform customer, buyer, and market understanding into actionable business decisions. Today, his work centers on modernizing research operations through AI, scalable insight systems, and innovative methodologies that make organizational knowledge more accessible, reusable, and impactful. A frequent speaker on research innovation, John is passionate about bridging the gap between research excellence and business action.
Sessions
Oct 28
10:50 AM - 11:15 AM PDT
Green Stage
AI Trust
Ethics & Governance
Enterprise Software & Tech
Future of Work
Do We Still Need the Research Report?
The report remains essential, but stakeholders may not return to it when a decision needs to be made. Increasingly, they will converse with research through AI. This session introduces three levels of Evidence Assurance for governing these new workflows, determining how much generative uncertainty each can tolerate, and knowing when synthesis must give way to traceable evidence and human review. Key Takeaways: 1. Distinguish useful AI synthesis from a hallucination that can distort a business decision. 2. Match the level of AI assurance to how the research answer will be used. 3. Know when AI answers require sources, context, and non-negotiable human review.
