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From Monopoly to Disclosure: Redefining Patent Analytics with Big Data and AI

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About this webinar:

Innovation is at the heart of the patent system, but the concept of patents has evolved over time. The traditional idea was to encourage inventors to disclose their groundbreaking inventions in exchange for exclusive rights, but more and more, small improvements of those groundbreaking inventions have become the scope. This has led to an exponential growth of the number of patents, making it increasingly difficult for companies to stay on top of the latest developments in their field. 

How much time do you spend reading other companies’ patents or watching to see who is cooking them up? For antiquated and irrational reasons: not nearly enough. Enter big data analytics and AI. 

In this webinar, the argument is made that, after nearly three hundred years of relative stagnation, big data and AI are re-balancing the IP value proposition from monopoly to disclosure – as was initially envisioned by the founders of the patent system. We will explore how big data and AI enable a fundamentally new value proposition on the side of disclosure – a holistic view of the landscape.

During the webinar, we discussed:

  • Monopoly vs Disclosure – is there a value migration?
  • Reductionism vs Holism – which is the more valuable perspective?
  • Stability vs Disruption – what are we ready for? Will IP professionals continue as is - business as usual – or do we need to prepare for disruption?

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Michael Adel (1)
Vice President Intellectual Property
Lumus Ltd.
Business Development
LexisNexis Intellectual Property Solutions