Dag Holmboe

CAIO/CDO
Konsuld, Inc.
Dag Holmboe is a seasoned AI and data‑science leader with over thirty years of software‑development experience, applying advanced analytics, machine learning, and knowledge‑graph technologies to drive innovation in healthcare and enterprise environments. As Chief AI Officer and Chief Data Officer at Konsuld, he co‑founded and now leads the vision, architecture, and data team. Konsuld is a closed‑access healthcare platform that fuses AI‑enabled clinical search with a vetted, licensed‑professionals‑only peer‑to‑peer collaborative network—empowering healthcare professionals worldwide to share expertise, access trusted insights, and improve patient outcomes.
Under Dag’s leadership, Konsuld has built a scalable data‑ingestion pipeline—integrating sources from PubMed, clinical trials, medical guidelines, and real‑world video content—fed into a Neo4j knowledge graph and vector index. He designed and deployed retrieval‑augmented generation workflows that surface contextually relevant references, bolstering explainability and trust in AI‑driven clinical recommendations. His innovations in real‑time recommendation engines and graph‑based peer networks have attracted life‑science partnerships and pharmaceutical clients seeking deep engagement analytics.
Before co‑founding Konsuld, Dag served as a data science consultant for companies in the legal and life‑sciences sectors, providing strategic guidance on leveraging data to drive business outcomes and operational excellence.

Dag Holmboe’s Session

10:30 a.m.–11:15 a.m. PT — Thursday, September 18, 2025

Panel: Challenges and Considerations in Deploying AI Agents

Deploying AI agents in enterprise environments presents a unique set of challenges that extend beyond implementation and into organizational strategy, risk assessment, and long-term scalability. This panel brings together industry leaders to unpack critical considerations, including how to assess and mitigate risks like automation bias, ensure traceability in agentic AI systems, and evaluate whether single or multi-agent architectures are best suited to your business goals. Panelists will also explore how to differentiate between types of AI—including GenAI and agentic systems—what successful operationalization looks like, and how to drive change management and literacy across teams. Whether you're exploring adoption or refining your strategy, this session will help you better understand the trade-offs, architecture decisions, and cultural shifts required to deploy AI agents responsibly and effectively.

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