Patent Pending: How the UPTO Office is Expediting the Time From Submittal to Approval

<p>The United States Patent and Trademark Office wants to modernize its technology stack, but to accomplish its ambitious goal, <a href="https://www.linkedin.com/in/jholcombe/">Jamie Holcombe</a>, the CIO for <a href="https://www.uspto.gov/">USPTO</a> has two main objectives: snapping out of a spell that binds people to age-old projects, and scaling its current way of doing things.</p><p><i>“What I saw was the ability to actually outsource a lot of our infrastructure, and that means not actually having the data center that we currently do in Alexandria, although it's very efficient. What we need to do is have resiliency. And so what I'd like to do is create the ability for our applications to work in the cloud on the internet, instead of having to come to the USPTO data center. And so that's what we're doing right now. We've stabilized our core applications to the point where in COVID-19 we've been able actually to increase our productivity metrics. It's unbelievable how great we're doing in this limited environment.”</i></p><p>On this episode of IT Visionaries, Jamie details how his office is bringing its technology stack into the 21st century and how they are expediting the time it takes for a patent to get approved through the use of artificial intelligence and machine learning techniques.</p><p><strong>Main Takeaways</strong></p><ul><li><strong>You Better Check Yourself</strong>: The discovery process is integral when you are looking to deploy any kind of artificial intelligence or machine learning techniques. Before deploying these algorithms, you need to make sure that you are creating the necessary feedback loops and understand what the data is telling you and where your deficiencies are in your algorithms.</li><li><strong>Clean-Up Your Room</strong>: Before you embark on any digital transformation that affects your customer, you have to make sure that your house is in order first. This can mean updating your network’s infrastructure and finding new ways to manage your data. </li><li><strong>Same Old Song