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Join Barr Moses, CEO of Monte Carlo, as she discusses the crucial role of data and AI observability in building reliable AI products. She explains how enterprises can gain competitive advantage by leveraging their first-party data and implementing proper data quality monitoring systems. Moses highlights that regardless of industry, organizations face similar challenges with data reliability, which can be traced to four root causes: problems with the data itself, code issues, system failures, and model output errors.
Join Diane Gutiw, VP Global AI Research at CGI, as she discusses agentic systems - collaborative ecosystems of specialized AI tools that work together to solve complex problems. She explains how RAG is evolving as one component within broader agentic workflows, addresses challenges in moving AI from POC to production, and emphasizes pragmatic AI governance. Diane also explains digital triplets - AI layers built on existing data infrastructures that enable natural language conversations with information ecosystems across healthcare, utilities, and infrastructure management.
Join Lexi Reese, CEO of Lanai, as she shares insights on enterprise AI adoption, discussing the significant gap between AI interest and implementation where executives prioritize AI yet 90% of organizations remain observers. She explains how companies are evolving from blocking AI to selective enablement through governance committees, but this approach is breaking as AI proliferates across every SaaS application, creating backlogs and inefficiencies. Lexi emphasizes the importance of viewing AI as a teammate rather than just a tool, advocating for organizations to foster experimentation with appropriate guardrails while identifying and scaling successful use cases across departments.
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