Ricardo Cali
Customer Success Manager | Questel
Ricardo Cali is a Customer Success Manager at Questel, supporting corporate and institutional clients in transforming Orbit Intelligence and Questel’s IP Business Intelligence (IPBI) solutions into measurable business value. His work focuses on strategic customer consultancy, helping IP, R&D, innovation, and corporate strategy teams apply patent intelligence effectively in daily operations and high‑impact decision‑making. As an early adopter of AI in the patent domain, Ricardo specializes in translating emerging AI capabilities into practical, compliant, and production‑ready IP use cases. His background as an inventor, former entrepreneur, and IP professional allows him to combine deep technical understanding with a pragmatic, customer‑driven mindset. His core strength lies in converting complex patent data and AI concepts into clear workflows, actionable insights, and sustainable systems—forming the foundation for reliable and responsible AI‑driven patent solutions.
Reliable and Efficient AI in Patent Systems
Good AI Requires Good Data — How Both Must Work Together
Artificial intelligence is increasingly positioned as a universal solution—yet in IP practice, not every problem is a nail, and AI should not be treated as a hammer. In corporate patent environments, responsible, compliant, and effective AI deployment requires significantly more than generic Generative AI models. Data quality, domain specificity, transparency, and governance are decisive factors. At the same time, GenAI has clear technical limitations that must be addressed through intelligent system design, curated patent data, and controlled workflows.
This lecture explains Questel’s approach to AI in patent systems: how AI can be integrated in a way that is compliant, reliable, and operationally efficient, while delivering real value to patent professionals. Attendees will gain insight into how good data, well‑designed AI architectures, and domain expertise must work together to support high‑stakes IP decisions.
Agenda Items
23.11.2026
10:20
Reliable and Efficient AI in Patent Systems
Good AI requires good data – How both must work togetherv
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