For decades, systematic and discretionary investing ran as separate worlds, with their own teams, data and tools. AI is closing that gap. Fundamental analysts can now test an idea against data at a scale that once belonged to quants, and quant teams use language models to read filings, transcripts and research the way analysts do. The afternoon follows that convergence through research, portfolio construction and the data and infrastructure underneath both. Firesides, panels and a live demo, followed by a networking reception.