Measuring the accuracy of AI for classifying patents – what’s the Gold Standard?
View our webinar where we discuss the Gold Standard for testing the accuracy of patent classification using AI and machine learning.
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5th October 2020
IPBC Connect – AI and the Data Revolution
As part of the IPBC Connect virtual conference that ran throughout September, Cipher’s CTO, Steve Harris, and CEO, Nigel Swycher, hosted a boardroom session on AI and the Data Revolution. Hear from industry experts from Google, Benevolent AI, Intel, Seagate, IBM and ElementAI about how AI/ML is positively influencing efficiency in multiple areas.
The session covered the following key findings:
- AI/ML brings efficiencies in terms of getting people to the target, not necessarily hitting the bullseye. Therefore augmenting human expertise
- AI/ML will successfully replicate a human task if there is consensus on the result that a human would achieve
- AI/ML adds efficiency to communications with the business – effectively creating a common language
- Combining patent intelligence with other data, such as market, product and revenue data, is essential for effective decision making.
To read more about these key findings and the roundtable we hosted, fill out the form below.
If you’d like to learn about how Cipher uses Machine Learning to classify patents, click here.
‘IPBC Connect – AI and the Data Revolution’ PDF Download
IPBC CONNECT – AI AND THE DATA REVOLUTION
Hear from industry experts on how AI/ML is impacting efficiency
- AI/ML brings efficiencies in terms of getting people to the target, not necessarily hitting the bullseye. Therefore augmenting human expertise
- AI/ML will successfully replicate a human task if there is consensus on the result that a human would achieve
- AI/ML adds efficiency to communications with the business – effectively creating a common language
- Combining patent intelligence with other data, such as market, product and revenue data, is essential for effective decision making.
With Cipher you can…
Optimise your portfolio
Ensure you have the right portfolio to meet your strategic patenting objectives.
Gather competitor intelligence
Understand who’s doing what by automating patent to technology mapping.
Model cross licensing
Combine patent and revenue data to determine rational licensing outcomes.
Manage your budget
Justify patent budgets to CFOs and others to communicate the impact of your investment.
Conduct due diligence
Automate manual reviews for efficient execution of M&A and licensing transactions.
Tackle inbound patent assertion
Be prepared with evidence to create a fast and effective threat assessment.
Benchmark your portfolio
Assess your portfolio in comparison to other owners through your technology lens.
Monetise your portfolio
Identify opportunities to create value through licensing or sale of patent assets.