Edge AI and Vision Alliance
Rachael Rusting is an experienced professional with a strong background in marketing strategy and operations across various industries. Currently serving as Market Strategy and Special Projects lead at Edge AI and Vision Alliance since April 2016 and as a consultant at RMR Consulting since February 2015, Rachael supports B2B startups in achieving product market fit and scaling growth. Rachael’s previous roles include directing operations for Community Alliance for Learning, where significant funding was secured during the pandemic, and holding leadership positions at IBM for over a decade, including roles focused on marketing transformation, market management, and community development. Rachael co-founded Kesetodo Inc, and contributed as a volunteer board member for WriterCoach Connection. Academic credentials include a BS in Business Administration from Boston University and completion of the Executive Program in Business Marketing Strategy at Harvard Business School.
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Edge AI and Vision Alliance
The primary goal of the Edge AI and Vision Alliance is to inspire and empower engineers to design products that perceive and understand. As product creators increasingly incorporate edge AI and vision capabilities into hardware and software, it has become clear that there is a lack of readily available, practical information to guide them. While edge AI and computer vision research have generated numerous textbooks and research papers, there is very little information available to guide system designers in designing practical computer vision solutions, including the selection of chips, cameras, algorithms, tools, and programming languages. A key means of achieving the goal of inspiring and empowering engineers to design products that perceive and understand using computer vision and other edge AI technologies is providing them with the practical know-how they need in order to effectively incorporate AI technologies into their designs. The Alliance primarily accomplishes this objective via the content on its website, https://www.edge-ai-vision.com, along with its Embedded Vision Summit conferences.