U.S.-U.K. Digital Government Partnership

Article | May 26, 2021

As discussed in my last blog post on North American Electric Reliability Corporation—Critical Infrastructure Protection (NERC CIP) Compliance in Azure, U.S. and Canadian utilities are now free to benefit from cloud computing in Azure for many NERC CIP workloads. Machine learning, multiple data replicas across fault domains, active failover, quick deployment and pay for use benefits are now available for these NERC CIP workloads.

Article | May 27, 2021

COVID-19 placed enormous demands on government services—demands that are not likely to go away. Moreover, the private sector now looks to government to facilitate the data transparency, digital processes, and data security needed to fuel recovery. Governments now understand those old ways of doing business no longer work. They need to become agile and flexible to meet today’s needs. Some were moved in that direction by the unexpected demands of the pandemic. For others, COVID-19 simply accelerated their digital transformation journey that was already underway.

Government Business

Article | July 14, 2022

The United States Patent and Trademark Office (USPTO) issued its 10 millionth patent number in June 2018 and continues to go strong. In fact, according to a PatentlyO.com-published report, “We are about three-fourths of the way through fiscal year 2019 (ends September 30, 2019) and the USPTO is on-track to issue the most patents ever in a single year period,” with the author forecasting, “330,000 issued utility patents, which is up about five percent from the prior one-year high in 2017.” While these kinds of milestones have created much ado about patents that have changed the world, including a number of popular culture pieces, the unfortunate truth remains that a great number of organizations don’t really understand how powerfully advantageous a tool patents can be. As the pace of patent filings quicken—noting that it took fully 121 years to issue the first million patents but only three years to move from nine to ten million—businesses that understand how to analyze, identify and capitalize on various intellectual property (IP) trends can dramatically hasten and increase value creation, and valuation, within their companies. This is according to patent attorney and IP authority JiNan Glasgow George, a former USPTO patent examiner and engineer turned entrepreneur who launched the Magic Number Patent Forecast software —a comprehensive intelligence tool leveraging machine learning to uncover silent trends sweeping the business landscape, revealing who is filing patents, when and in what sectors. With this kind of AI-driven data, organizations can easily detect early-stage shifts and pinpoint other trends and marketplace insights to give companies a tremendous competitive edge. “Intellectual property is not just an idea, concept or invention, but rather a financial asset that can render tangible results,” JiNan notes. “Organizations need to shift their mentality away from patents being seen as merely a way to protect their own idea and, instead, regard them as a means to grow a business and create wealth through intellectual property-driven analytics and key business assets that drive revenue. This can include analyzing the competition through a uniquely telling lens, deciding which products to build next, identifying 'white space' industry opportunity and more.” After more than two decades managing legal matters pertaining to patents and trademarks, JiNan has helped hundreds of entrepreneurs and innovation-based companies understand how to parlay patents into assets that give them an edge. Below are three of her key reasons why analyzing patent trends can pay off in a big way: 1. Enhanced Competitive Intelligence. Did you know that large banking institutions like Bank of America and payment card companies like Mastercard and Visa hold large amounts of patents in cryptocurrency? Or that a pharmaceutical company is the leading patent owner in the cannabis sector? Or that consumer sleep is among the newest IP-heavy categories, with Apple emerging as a primary player? Or that early stage companies such as Luminar may be outpacing automotive giants? “Because investment in patents always leads market activity, we can see investment trends before they’re visible in market activity,” JiNan explains. “Every sector contains strategic insights that can translate into mission critical assets. We also find evidence of investment that might seem contradictory—like a major bank investing heavily in its supposed competitor: cryptocurrrency. It’s data science that allows companies to predict the next waves of innovation within their particular industries and markets.” 2. Drastically Increased Valuation. IP isn’t just for tech and consumer product companies, as even service businesses can pursue IP protection through patents, trademarks, copyrights and trade secrets. Unfortunately, many businesses are highly undervalued because the owner or executive has not created any IP or cultivated what they have. This is a grave error given that IP plays a huge role in an entity’s valuation. In fact, IP is the one thing that impacts the valuation multiple beyond the profitable business, itself. As such, using trend data to determine with greater accuracy how and where to allocate IP-related resources is key, as “getting it right” can be a significant boon to the bottom line. “Some start-up companies I’ve worked with have IP portfolios that are more efficient and valuable than large corporations in the same markets,” JiNan notes. “That gives them a high valuation—a vital factor also making these companies attractive targets for investors, mergers and acquisitions. Some companies invest a lot in patents that ultimately are not very valuable, while other companies file for inventions that yield significant returns. The profitable ones can produce impact that multiplies their IP investment—even early stage companies can have IP valuations that are $10 million, $50 million, even $100 million or more. A data-driven IP strategy that considers present inventions in market context can create a five times or more increase in valuation.” 3. Maximized First Mover Advantage. Prior to 2013, the first to invent was entitled to patent rights. The current system—established through the Leahy-Smith America Invents Act—is a “first-to-file” system, meaning that patent rights are given to the first person or entity to file an application whether or not they were the first inventor of the technology, product or service. With access to patent trends and other IP-driven data, companies can not only make smarter investments and develop better strategies to target emerging markets, but also aptly identify underserved or even entirely unexploited facets within those markets. “Patent data offers huge insight into who is investing in what kind of technology and where and how those funds and efforts are being allocated, long before commercial activity,” JiNan says. “Any company preparing to enter a new market will leave evidence of their intentions in areas that represent opportunity. If you are looking to capitalize on gaps in the market, it’s important to remember there’s no second place in patents—you need trend data to be continuously updated and analyzed. The companies and individuals who profit most from intellectual property are often not the ones who initially created it. ” According to JiNan, one of the most significant areas of opportunity loss for entrepreneurs and corporate executives is a lack of understanding of patent strategy and undervaluing the pursuit thereof. Because p atents are often the highest value intellectual property assets, she asserts that having an inside track on this kind of activity—and taking proactive measures to interpret and capitalize on that data—can be a real game-changer for an organization. Ways to gain that “inside track” as well as other ways to maximize patent ROI and profit from your IP endeavors will be explored at the annual Eclipse IP Conference this October in Cary/RTP, North Carolina. Founded in 2013, Eclipse brings together global thought leaders in IP to discuss best practices in patent investment, with this year’s theme being “Own Your Zone, Leveraging IP to Increase Marketshare.” These days, it’s not just about procuring the data. It’s what you strategically do with that data that really counts. The conference includes the likes of New Orleans Saints all-time yardage leading wide receiver Marques Colston, supply chain expert Irfan Khan, Eugene Gold (who grew his business by a staggering 4,400%) and bestselling author Randy Nelson. With patents among the most important and valuable assets a business can hold, said to serve as “the lifeblood of innovation,” when employed well they can proffer a remarkable return on investment—especially when facilitating market, category or process exclusivity. With JiNan’s insights above, it’s clear that deciphering and mapping early-stage patents and market data can be a powerfully effective means toward this end.

Article | May 7, 2020

Machine learning is a subset of artificial intelligence that can be found almost anywhere. Believe it or not, even coffee roasters are beginning to employ machine learning algorithms to better understand when coffee lovers will crave their next cup of joe. The ability to innovate is one of the most highly prized qualities in today’s tech-driven world, which has led to a stunning range of machine learning applications across multiple industries. Here are the top five real-world examples.