There has been a lot in the zeitgeist recently about face recognition, and I think some of the better uses of face recognition are getting overlooked. One of my favorite customer use cases of ours is using it to speed up payments and other activities on physical kiosks. Here’s why customers are coming to us...
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If I see one more article about Bayesian Forest’s being Random whilst also being Convolutional I’m going to disconnect my cable modem and let all of the internet spill out. It is frustrating trying to learn about machine learning. Do I use YOLO, Keras, Tensorflow, PyTorch or all of them together somehow? And even if you...
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A recently passed New York state law mandates that a wide range of information be turned over within 15 days after an indictment. Because the law affects audio and video-based evidence too, prosecutors will need to accelerate the multimedia discovery process, requiring the adoption of artificial intelligence (AI) tools that allow rapid e-discovery during the early case assessment (ECA) stage of cases.
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As a content owner or rights holder, creating and distributing content isn’t your only concern. It’s equally important to make sure your content is stored and curated properly to enable discovery and future use. Rather than using it once for its original purpose and then letting it sit in a vault somewhere, there is tremendous value in getting your content into the hands of producers, broadcasters, ad agencies, and others who need clips for their projects. That means licensing. In my almost 10 years of working in sports licensing, I’ve become intimately familiar with the intricacies of content rights, licensing, and intellectual property. I can’t watch any kind of program without thinking about (and often mentioning) the licensing and rights nuances included within it. My wife hates it. “Why can’t we just watch TV like normal people?” she says. In this article I offer up some best practices for enabling discovery and licensing of your content while protecting your copyrights as a rights holder.
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Five Aha Moments from VentureBeat Transform Featured Image Includes: Greg Brockman, Co-founder & Chairman and Ilya Sutskever, Co-founder & Chief Scientist, OpenAI; Kyle Wiggers, Staff Writer, VentureBeat I just came back from the Venture Beat Transform 2019 conference here in San Francisco, and I have to say, for the first time in many years, I’m...
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Asian, black, Latino or white? In the ethnic melting pot that is the United States today, these overgeneralized racial classifications are becoming increasingly inadequate when it comes to describing someone’s background. To address the shortcomings of these blanket classifications, a company called Kairos is using face-recognition software to estimate the percentage of a person’s ethnic...
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Imagine if you were using a calculator to do some just fantastic calculations like π^π , !2, or the old standard 2+2, and every once-in-a-while, the answer would came back wrong. Better yet, you’ve implemented a microservice in your stack that occasionally just returns {[“No”]}. This is what working with machine learning can feel like sometimes. You’re...
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We’ve heard a lot of talk in the marketplace about how Veritone Attribute helps radio and television broadcasters connect on-air advertising campaigns to an advertiser’s website activity. I even talked about it myself here. Attribute correlates ads, including live reads, organic and in-content mentions with website traffic and transforms the data into actionable performance analytics...
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This year’s NAB Show is now history, and it was a great one for Veritone! As we’d hoped going in, we were able to gain an even deeper understanding of how media and entertainment organizations are creating, managing, delivering, monetizing, and analyzing (or not … yet) their assets. And we observed that the industry is craving innovations in areas such as advertising efficacy and archive monetization. We were also able to showcase some powerful use cases of how our M&E customers are addressing these topics and achieving significant success.
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What? What a strange title for a blog post. That is like saying “Don’t not use your telephone to avoid not making phone calls”. But I think it accurately describes the way in which I’m going to show you how to use machine learning to make sure your car is still in your driveway. Several...
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