Advancements in computer vision are making headlines and creating new opportunities across industries, from self-driving cars to early cancer detection. The benefits of applied computer vision are only just beginning to emerge and its impact will be massive.
Ophir Tanz examines several real-world examples of how AI and computer vision are being applied today, at scale. Along the way, Ophir explores the tools and image technology utilizing AI that you can apply to your business today and demonstrates how companies are actively making computer vision part of their product and marketing strategy. Now is the time to be thinking about computer vision, as AI becomes an integral part of every business function.
Sports sponsorships: This year, global sponsorship spending is projected to be $63 billion, the majority of which will come from sports signage. Unfortunately, many brands have limited insight into the media value they generate from sports signage because they rely mostly on TV media valuations. The value of sports signage and sponsorships on social media has generally surpassed TV, and sports marketers need a new way to account for the rise of social media. By leveraging artificial intelligence and computer vision, marketers and rights holders can now capture the value of each sponsor’s logo across broadcast, streaming, and social media.
Brand safety: While native advertising continues to grow tremendously this year, it remains plagued by brand safety issues. In a recent Digiday study, 90% of brands felt that brand safety was a serious issue. Traditional approaches to brand safety rely strictly on analyzing headlines and text that appears on a publisher’s site. This is not a fail-safe solution. By focusing on text only, brands that run native ads are occasionally associated with unsafe images, such as car crashes, guns, and hate speech. With the latest development of AI, brands are now able to use computer vision to identify unsafe imagery and deliver ads in safe, contextually relevant environments.
Visual analytics: Three billion images are uploaded every day on social media, but more than 80% of these images lack text that can help marketers find them. This creates a blind spot. By using image recognition, visual analytics tools can identify in real time images that are relevant to brands. Marketers can then acquire user-generated images, connect directly with their influencers, and activate social media advertising campaigns. Ophir specifically explains how a popular ice cream brand uses Mantii to understand the success of their ice cream flavor strategy, identify key influencers, and create targeted advertising campaigns.
Ophir Tanz is the CEO and founder of GumGum, the leading computer vision platform for marketers. Under his leadership, GumGum created the largest in-image advertising platform, revolutionizing the industry. Ophir was named one of Adweek’s “Young Influentials,” was featured on the cover of Entrepreneur magazine, and received the Siemer Summit Innovation in Advertising Award. Previously, Ophir was the CEO and cofounder of Mojungle.com, a mobile media-sharing platform (acquired by Shozu.com in 2007), and cofounder of Fluidesign, an award-winning interactive and branding agency. Ophir holds a BS and MS from Carnegie Mellon University. He currently lives in Los Angeles.
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