AI & Digital Transformation
Practical AI that connects innovation with measurable value.
Artificial intelligence is a central professional interest for David, approached from a business perspective: where it improves decisions and productivity, how it changes research, and how it should be governed.
Theme 01
AI in Business & Finance
Building a modern finance function that uses data, automation and AI to support faster and better decisions.
- Intelligent automation
- Predictive analytics and financial forecasting
- AI-enabled business intelligence
- Enterprise productivity and digital transformation
- Modern finance functions: ERP, FP&A and Power BI
Theme 02
AI in Biotechnology & Drug Discovery
How computation and experimental science come together to change the speed and economics of discovery.
- AI-enabled molecular and antibody discovery
- Integration of computational and experimental research
- Data-driven R&D
- Innovation in pharmaceutical research workflows
- Scalable digital scientific infrastructure
In practice
Interactive models boards and investors can test themselves.
Approach
Business-led, responsible and measurable.
- Start from the decision, not the tool. Identify where better information or automation changes outcomes.
- Build on reliable data. Enterprise systems, data integration and business intelligence come first.
- Measure the value. Link every initiative to productivity, quality or financial performance.
- Govern the risk. Responsible AI adoption, controls and board-level oversight of emerging technology risk.
David's interest in technology also shows in his continuing education, including Harvard's CS50 for Educators and SQL for Data Science (University of California, Davis).
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