Innovation Excellence
JUNE 15, 2020
Getting Artificial Intelligence Under Control. Machines called “cyborgs” are created to hunt down the survivors that remain. The dangers of artificial intelligence, however, are very real, although not nearly so dramatic. Yet it pales in comparison to what we can expect in the future.
Anaqua
NOVEMBER 12, 2019
In the third post of our blog series, we spoke with Vincent Brault, Senior Vice President of Product and Innovation, about the importance of analytics and how new technology is helping to reshape its use in the IP industry. The industry started with mostly automotive companies, and now technology and insurance companies are getting involved.
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IdeaScale
AUGUST 9, 2018
In a recent round of research, I was reviewing adoption rates for new technologies. It reminded me of the staggering comparison: “It took about 75 years for the telephone to connect to 50 million people. So what emerging capabilities in the technology industry are influencing innovation in other sectors?
mjvinnovation
OCTOBER 5, 2020
Data science professionals apply machine learning algorithms to numbers, texts, images, video, audio, and more, producing Artificial Intelligence (AI) systems to perform tasks that would typically require human input. Indeed, not all reviewers had the same knowledge of this cuisine, right?
eZassi
SEPTEMBER 26, 2019
If your organization is focused on adjacent, incremental or breakthrough technologies you will need a strong scouting team to get the work done. From there you can make the right decisions on the people, process and technology needed to succeed and ensure that the go to market is a success.
Idea Drop
SEPTEMBER 28, 2017
Our Corporate Team is looking at machine learning software for large-scale document review for due diligence, and our Construction Team is looking at a combination of machine learning capable software, and also contract automation for the review of low-level contracts for clients, and delivery of automatic reports.
Acuvate
SEPTEMBER 19, 2022
Traditionally, unstructured and scattered data sources led to incomplete data and increased costs due to poor decision-making. However, we now reside in an era where every business app and platform that an organization uses must be intelligent, agile, adaptable, and flexible to real-time data modeling.
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