Visual Data: The Last Great Untapped Resource

We live in a visual world where 3.2 billion images and 720,000 hours of video are created every day. But on average, 98 percent of the visual data stored in enterprise networks is never even analyzed. 

As a result, visual data truly is the last great untapped resource for enterprises to analyze and understand their business. Without computer vision technology to derive insights from their images or video streams, organizations are unable to do much more than just collect visual data. AI-powered computer vision solutions offer the means to put visual data to work, improving processes and solving business challenges. 

The Hang-Ups of Technical Complexity

Computer vision is not new. So why aren’t more organizations using it to optimize their day-to-day operations? 

They’re often hindered by the technical complexity of traditional solutions and their own internal resource limitations. From the data scientists who label and curate datasets, to the machine learning engineers who train and fine-tune models, to the MLOps developers who help to deploy and interpret the model outputs—it’s not uncommon for projects to become like relay batons, passed from person to person. 

What’s more, non-technical subject matter experts often have limited or no access to the project. This can result in setbacks or disappointing results when technical specialists don’t fully understand the problems they’re trying to solve.

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