Both AI and machine learning are skyrocketing as companies undergo digital transformation. As models and data pipelines become more complex, they become increasingly difficult to manage. Another challenge is that because MLOps and AIOps are relatively new disciplines, people often confuse them. We’re here to solve that problem. What is MLOps and AIOps? In this...
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In the July 2021 edition of Police Magazine – Police Law Enforcement Solutions, the publication prominently features several articles on body camera technology, policy, and products. The articles offer knowledge and great insights from learning how body camera manufacturers have developed a wide variety of innovative hardware and software for capturing video evidence to getting...
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Modernizing your current media management systems and processes unlocks more revenue opportunities Summary: Despite the COVID-19 lockdowns, content consumption doubled, forcing companies to adapt to capitalize on this opportunity Many companies are managing their media with inefficient solutions and methods, holding them back from extracting more ROI from their content There are two categories of...
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From jail house calls to body-camera footage, voicemail to video depositions, modern technologies have introduced a new type of evidence to legal professionals: unstructured data. Specifically, unstructured media data, such as photos, videos, CCTV footage, zoom calls, and more. Unfortunately, as the popularity of these new technologies has grown, so have the problems associated with...
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It’s no secret that the idea of implementing MLOps can seem overwhelming. While the goal of machine learning operations is to find faster and more effective ways to productize machine learning, many organizations struggle with it early on. The first step is understanding what MLOps is and how it works, which we’ve covered in an...
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Welcome to the final installment in our 5-part series on Smart Grid Technology. Each article so far has focused on different components of intelligent grid architecture, including: An overview of what smart grids are, how they work, and why they represent the future of energy delivery. How distributed energy resource management systems (DERMS’s) are used...
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AI auto-tagging is the process in which artificial intelligence is used to tag media files with metadata. This is a modern approach to metadata tagging, which creates a term that describes a keyword or phrase and assigns these metadata tags to a media asset. In digital asset management, which we described in-depth in a previous...
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The world is drowning in data. Music data. Photo data. Video data. Spreadsheet, flow chart, email, and website data. These days, no matter where you are or what you’re doing, there’s someone nearby creating data—even if it’s just CCTV footage, or the satellites orbiting our planet. (Say hi to Big Brother!) Look at you, dear...
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Upgrading your legacy systems can help you connect your content ecosystem, and accelerate content production and monetization Summary: Media companies have accelerated their digital transformation efforts as a result of the pandemic, adopting cloud solutions for their content production needs This has created a serious integration problem between all the different tools used to create...
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Metadata tagging is the process of creating a term that describes a keyword or phrase and assigning those tags to a media asset. A media asset, as described in our blog about digital asset management, is any content that comes in one of five forms —audio, images, video, documents, or HTML. These tags don’t appear...
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