Webinar: AI-Assisted Invention – Results, Technology and Organisational Impact

Join us for this in-depth webinar as industry leaders explore how AI is revolutionising the invention process, driving impactful outcomes, and reshaping business strategies.

Event details
Date: Wednesday 20^th November
Time: 3:00 pm (GMT), 4:00 pm (CET), 10:00 am (EST)
Duration: 60 minutes
Location: online (link will be provided upon registration)

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What you’ll learn
In this session, our CEO, Julian Nolan and experts from Proctor & Gamble, Deloitte and Kingfisher Labs will share unique perspectives and real-world results, on the evolving landscape of data-driven invention, its tangible impact on organisations and the future potential of AI technologies in accelerating innovation.

Meet the speakers
Julian Nolan, CEO of Iprova, opens the session by explaining the data and science behind the art of invention.

Paul Sagel, Vice President and Appointed Research Fellow at Procter & Gamble, provides insight on his experience of data-driven invention and broader perspectives on innovation.

Maaike van Velzen, Partner – Intangibles, Data, & Tech Law – at Deloitte, will discuss the impact of AI and invention on organisations and explore the regulatory context of AI by presenting two possible scenarios.

Dr Catherine Breslin, AI Scientist and Founder of Kingfisher Labs, covers the enabling technologies and possible future advancements in AI and their potential effects on invention and the IP ecosystem.

Moderated by Duane Valz
With experience in managing legal and IP challenges for Bay Area companies like Yahoo! and Google, Duane will lead our discussion and Q&A session, providing insights on navigating the evolving IP landscape.

Interactive Q&A
Engage with the speakers during the Q&A session to delve deeper into the topics that matter most to your organisation. This is a great opportunity to connect with experts and gain practical insights into leveraging AI for the creation of high-value inventions.

Register today and get ready to be inspired by the results, technology and organisational impact of data-driven invention.