Computer Vision

Projects often fail when the focus is placed on technology alone instead of holistic business solutions. AI is just one tool in an enterprise’s toolbox and every solution needs the right resources to support its success. It’s rare for AI to prove the only tool necessary for creating a solution…

Though computer vision isn’t addressed directly in Deloitte’s latest State of AI in the Enterprise Report, the authors’ recommendations are useful for any organization exploring computer vision.

With Gartner placing edge computer vision at the center of its Emerging Technologies and Trends Impact Radar and general computer vision ahead of all other solutions on its latest Hype Cycle, it is clear that analysts agree computer vision’s moment has arrived. Plainsight’s new infographic explores the reasons enterprises fail to realize computer vision’s potential and the ways Plainsight brings stalled and failed projects our of the Computer Vision Chasm.

Vision AI offers solutions to a number of the challenges facing restaurants, presenting use cases for everything from keeping kitchens cleaner to ensuring each patty spends the exact right amount of time on the grill.

Deep learning sits within the machine learning subset of AI technologies. Machine learning systems are designed to educate themselves and adapt with or without human intervention. ML systems attempt to learn the same way humans do, through trial and error. Targeted ads, recommended products, and predictive search terms are all the result of successful machine learning.

Taking the first step toward more data-centric AI is as simple as recognizing the immense value your data holds and the value inherent in curating it carefully. But centralizing and systematizing your approach to AI isn’t enough—nor is it enough to focus on updating and testing the models you deploy at the expense of data quality. Even better than a data-centric approach to AI is a data-driven approach, one that focuses on both the quality of the data collected and the efficacy of the models this data is used to train.