I admit, we’ve made it almost too easy to deploy a state-of-the-art face recognition machine learning model. So easy in fact, the only thing you need to know to try it for yourself is how to copy and paste commands into Terminal (and how to open a web browser). It’s great to make things so simple, but...
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Veritone’s aiWARE has now expanded its e-discovery capabilities by supporting the SaaS version of the Relativity e-discovery platform, RelativityOne. This new integration, which is in addition to the previously supported integration between Veritone aiWARE and Relativity’s on-premise version, enables evidentiary or regulatory audio and video to be interrogated in the cloud for actionable intelligence. Clients...
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Artificial intelligence (AI) can be hard to define. With the technology signifying different things to various people in diverse roles and industries, it can be even harder to describe AI’s benefits. This fuzzy definition is a problem, given that AI can provide tangible and immediate benefits to enterprise operations. AI creates more efficient workflows, allowing...
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This year’s primary elections are far from sleepy. Immigration is just one of the various contentious issues raised by candidates across many states, especially as Democrats are protesting against President Trump’s policies across the country. In efforts to win, gaining valuable broadcasting airtime is as critical as making phone calls and canvassing to convert the...
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Robin Melhuish, Director of Customer Solutions, discusses who needs a cloud digital asset management solution, why companies should stay away from "home-grown" asset management, and why metadata is so important for your content.
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Businesses are piling on the investments to gain an edge in artificial intelligence, but the emerging technology comes with the unintended consequence of bias. Chad Steelberg, CEO and Chairman of Veritone, shared with Cheddar the dangers of bias in AI and the importance of removing prejudice from artificial intelligence. View the video interview here
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Let’s face it, a lot of people out there are needing to integrate machine learning into their products and services, but don’t have the time or resources to go back to school to learn Tensorflow or the money to hire expensive PhDs. And even if they do, its still a huge challenge to get it...
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TL;DR: Check out a working example project of how to deploy Docker containers (boxes) to Google Cloud Platform. Delivering complex software solutions inside a neat container is exactly the promise of Docker, and Machine Box has truly benefited from this. This article shows you how to spin up Machine Box in Google Cloud Platform, but the technique works for any...
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Machine Box delivers the services via Docker containers, and Digital Ocean is a great place to host these containers in production. This guide will walk you through the steps required to deploy Facebox with Digital Ocean. TIP: Before you start, it’s important to remember that hosting on Digital Ocean comes with a small cost — it’s very competitive,...
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There are a lot of really great Machine-Learning-as-a-Service (MLaaS) providers out there; Azure, Google, Rekognition, etc. But for those of us who can’t send our data to the cloud, who need to train and tune models locally, and who need more control and ownership over our machine learning models, we have to look to a...
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