Generative AI: Promise and limitations
Generative AI has proven remarkably effective at accelerating ideation, drafting and exploration in research and enterprise contexts. But where does its accuracy falter or its fit for purpose reach its boundaries? And what technologies can meaningfully extend it?
Bridging the gap with structured knowledge
This panel brings together thought leaders to explore how generative AI, while powerful in pattern recognition and linguistic fluency, often falls short in areas demanding precision, traceability, and contextual consistency. We will discuss how complementary technologies, particularly knowledge graphs and symbolic reasoning systems, can help bridge these gaps.
The future of hybrid AI
Join Digital Science for a forward-looking conversation on hybrid approaches that combine the creativity of large language models with the rigor of structured knowledge to enable more scalable, transparent and trustworthy business decision-making.
Panelists: Peter Haase, Hélène Draux, Mark Hahnel
Moderator: Larry Swanson