Amee
Gil
Business Intelligence Consultant at Analytixx
"Generative BI in Practice: How Leaders Turn AI Into Business Value"
"Generative BI in Practice: How Leaders Turn AI Into Business Value"
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Session: Generative BI in Practice: How Leaders Turn AI Into Business Value
As organizations accelerate AI adoption, many struggle to translate experimentation into measurable business value. This session explores how Generative Business Intelligence bridges the gap between data and decision-making by embedding AI directly into trusted BI workflows.Drawing on real-world experience across healthcare, startups, and large enterprises, the talk demonstrates how integrating generative AI into BI improves insight quality, shortens decision cycles, and increases stakeholder adoption. Rather than treating AI as a standalone initiative, attendees will see how strong BI foundations enable AI outcomes leaders can trust.
Participants will learn how practical BI practices such as active metadata, lightweight data quality validation, and stakeholder-aligned metrics create the conditions for successful AI implementation. The session also covers how generative AI can enhance dashboards, automate analysis, and surface insights through natural language without adding operational complexity.
Designed for mid-level and senior leaders, this talk provides a clear, actionable roadmap for improving data-insight ROI by positioning AI as an extension of a disciplined, business-first Business Intelligence strategy.
Key Takeaways
- Increase ROI with generative BI
- Build AI leaders actually trust
- Enhance dashboards with AI
- Align AI with business outcomes
Bio
Amee Gil is a Business Intelligence and data strategy consultant who helps growing organizations turn complex data into actionable decisions. She specializes in practical, sustainable BI and responsible AI adoption, including conversational BI dashboards, data governance, AI and code documentation support, and generative agents that translate stakeholder needs into clear, non-technical requirements.With a background in quantitative research and over a decade of experience across healthcare and nonprofit organizations, she helps leaders focus on the metrics that matter, reduce redundant work, and apply AI in ways that deliver measurable, trusted business outcomes.
