Within Deloitte Consulting we have built a community of data scientists and ML engineers, and formalized it as an internal R&D arm. These teams cover the gamut of ML/AI projects, including core ML, reinforcement learning, NLP, complex optimization, and the one we will highlight: Edge and Computer Vision, which also includes sensor modeling, smart factories, and robotics. Within this R&D group, we will talk about a select handful of projects, including drone-based visual equipment inspection, activity recognition/pose estimation for clinical use cases, emotion detection for user experiences, visual question answering for the visually impaired, our CV-driven signal processing research, and CV-adjacent work like reinforcement learning for autonomous vehicles. We will discuss how we selected the use cases in response to market demand, how we formulated complex and custom ML solutions, how we work with business leaders to package these for client pitches, and how our R&D efforts directly benefit our work with clients. We will also cover some technical details and practical use cases behind these projects and how we reached the solutions. We’ll also touch upon how we use these expert teams to expose new learners to world-class data scientists, creating an ecosystem for fast-paced AI R&D within a large enterprise.