Visual AI 101: How Computer Vision Works and Why It Matters to Your Business

Webinar Summary

Computer vision technology has become one of the most important subdomains of artificial intelligence (AI), with a wide range of applications across fields as diverse as retail, medicine, manufacturing, energy, and security. According to Gartner, over 80% of organizations will use some form of computer vision to analyze images and video, and it already accounts for more than a quarter of total AI software spending.

The history of computer vision is nearly as long as that of AI itself, dating back to the 1950s when researchers first started exploring the idea of using machines to process and analyze visual information in much the same way as humans do. Over the years, the algorithms and techniques used to interpret and understand visual information have evolved, with rapid gains made in performance and the range of capability in the last decade alone as advances in deep learning and computing has accelerated.

While these technologies continue to become more pervasive in everyday life, exactly how do they work? Additionally, what are the primary tasks and benefits of using this technology in industrial operations? In this webinar, you’ll learn the answers to these questions and more including an overview of the history of computer vision, the core technical concepts that make it work, and real-world examples of use cases and applications that are transforming business operations in significant ways.

Register now to gain valuable knowledge about computer vision and discover how others are using it to gain a competitive advantage by enhancing the way their existing assets, processes, and people operate.

About the Speaker

Dr. Bruce Porter

A two-time Chair of the University of Texas Computer Science Department, Dr. Bruce Porter serves as the company’s Chief Science Officer, where he leads the company’s R&D initiatives. As a university professor, Dr. Porter's research focused on machine reading, a technology that holds tremendous potential for capturing knowledge for automated inference, question answering, explanation generation, and other AI capabilities. Dr. Porter also directed UT’s Knowledge Systems Research Group, an AI organization with the goal to develop methods to build knowledgeable computers. He won the Best Paper Award at the National Conference on Artificial Intelligence, the College of Natural Sciences Teaching Excellence Award, the National Science Foundation’s Presidential Young Investigator Award, and the President’s Associates Teaching Excellence Award.

Stephen Gold

Stephen Gold is the Chief Marketing Officer (CMO) bringing over 30 years of experience, including B2B application software development, AI and data science, and IoT services. He previously was the General Manager of Honeywell’s $2.5B Connected enterprise, where he led the digital transformation and IoT advancement of this century-old $40B manufacturer. As Group CMO of IBM Watson, Gold was one of the principal business architects who delivered next-generation AI technology, driving over 10,000 engagements. Prior positions included CCO of HZO, CMO of SPSS, President of Aberdeen Group, and President & CEO of Azerity. Gold has also served on various private and public boards, and has been featured on various media outlets, including CNN, CNBC, Today Show, and Fox News.

Watch on Demand

This webinar aired on March 7, 2023. If you missed it, no need to worry. Watch it on demand for free!