Explore IoT at the edge
By 2022, more than 80% of enterprise IoT projects will have an AI component, up from less than 10% today. Conventional wisdom holds that AI processing happens ‘away from the edge” or not on endpoint devices such as a small IoT sensor. AI-powered IoT will Yet specific use cases of AI moving “to the edge” are already emerging. Raspberry Pi is a family of small single-board computers already used in home and industrial automation applications using image analysis.
Use AI to ease application integration
In the opening keynote, Leigh McMullen noted that by 2023, 90% of current apps used today will still be in use. Integration complexity is a cornerstone of the move toward digital platforms. “Most apps in use will have AI or know how to use it,” said Andrews. The data will still live in those legacy business apps and databases. 90% of companies integrate to at least one existing app already and 50% integrate to customer systems.
Support customer-facing apps
Andrews made a point of reminding IT leaders that they should continue to focus on customer facing applications and projects. “The AI will likely not be customer facing but will support the customer facing application to start,” said Andrews.
The EU warehouse that piloted an AI-powered translation interface has an ambition to use visual analysis to analyze products waiting to be shipped in order to optimize the size of the box used to ship those products. This is expected to reduce waste, improve operational efficiency and ultimately impact key business cost metrics. Such a use case is similar to automatically loading a dishwasher with the optimal mix of plates, dishes and cups to save water, time and energy. Applications and “things” powered by AI have the potential to create wins for everything from distribution centers to dishwashers.