Artificial Intelligence has transitioned from a moonshot idea to accessible technology. As a result, the way we design, build, and market technology products is playing catch-up. To deliver the best experiences we must create AI-first applications, in the same way that we transitioned to create mobile-first applications.
In this talk, we will dive into three frontiers of AI-first applications: Computer Vision; Natural Language Processing; and Ambient Computing. Computer Vision will explore the possibilities enabled when cameras are combined with AI, and the unlikely side effects of training computers to “see.” Natural Language Processing will examine the rise of AI assistants from tech heavyweight companies and the ins-and-outs of voice input and and voice synthesis. Finally, Ambient Computing will unveil how invisible background AI learns from the world around us and makes our lives better.
AI-first is not an easy goal to accomplish. Accordingly, throughout the talk we will address the technology and data challenges that underpin working with AI technology. From data sources and training to deployment and inference, we will begin to understand the special considerations of AI-first and how to overcome them.