Innography Blog

Archived posts from P8


If At First You Don’t Sell, Simply Let it Lapse: Deriving New Value from Your IP Portfolio

Most portfolio managers get a list of patents with fees due that quarter. Their job is to look at the business, see which ones they’re using, and pay the fees. They’ll likely let the rest lapse in order to “save” cost on assets not currently supporting the business. But what these managers aren’t considering can be best described by the old saying, “One person’s trash is another person’s treasure.” Put more directly, you can create easy income for your organization simply by selling unused assets, rather than just allowing them to expire.

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Categories: intellectual property management, ip strategies, licensing strategy, patent analysis, patent portfolio analysis, patent strategy


Patents Gone Wild: Chinese New Year 2017 is a Fire Rooster

In Chinese astrology, every 12 years there is a Rooster year. Each zodiac year is not just associated with an animal sign, but also one of five elements: Gold (metal), Wood, Water, Fire, or Earth. This year, as in 1957, the element is fire making this the year of the Fire Rooster.

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Categories: advanced patent search, patent analysis, patent filing trends, patent search, patents


[Infographic] Know When to Hold ‘EM: The Games People Play With IP Data

Multi-million dollar decisions are never without risk, but basing them off questionable data is simply Russian Roulette. Getting to “good enough” or the “right” intellectual property data upon which to make decisions can be extremely time consuming, complex, short-lived. So either you’re wasting time correcting raw data from global patent offices or you’re making decisions on data that is rife with spelling errors, doesn’t reflect patent reassignments, and doesn’t account for M&A activities.

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Categories: big data, data correction, data correlation, industry outlooks, intellectual property management, patent analysis, patent search, patents


Apples and Oranges: Truth of Patent Data Quality

The USPTO recently announced an expansion of PatentsView, its visualization tool for US patents. First launched a few years ago, the intent behind the tool was to make 40 years of patent filing data available for free to those interested in examining “the dynamics of inventor patenting activity over time”. In spite of being limited to patents (not applications) and with a focus only on the US, it offers some interesting visualizations around locations and citations.

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Categories: big data, data correction, data correlation, industry outlooks, intellectual property management, patent analysis, patent search, patents


Machine Learning: How Innography Drastically Improves Big Data Quality to Give Its Customers an Edge

Early November, Tyron and I had the pleasure of presenting at the American Society for Quality (Austin Section) event, “The Future of Quality.” ASQ is an organization founded to advocate quality. Not specific to any field, discipline, or level within an organization, ASQ emphasizes an all-encompassing dedication to professional integrity and a passion for progress and excellence. As a company so committed to quality ourselves, it was inspiring to be in the presence of such a likeminded group.

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Categories: big data, data correction, data correlation, patent analysis


Research Using Patent Data Reveals Future of Robots and Spaceflight

One of the perks of working at an IP analysis software company is the fascinating info we often gather on some of the coolest modern technologies. Our recent patent research on autonomous robots and manned spaceflight provides deep insights into the present state and future strategies of players in these cutting edge industry sectors.

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Categories: advanced patent search, industry outlooks, patent search, technology forecasts


2017 Predictions for Intellectual Property Professionals and the Patent Analytics Industry

For better or worse, no one can say that 2016 was dull. And while it might not have produced quite as much excitement in the IP world (phew!), 2016 wasn’t without some notable IP shifts. On January 11th last year I shared my predictions for 2016. Let’s see how I did, and then I’ll give you my predictions for 2017.

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Categories: big data, industry outlooks, intellectual property management, ip strategies