Improving Performance of Edge Devices with Neural Network Optimization | Nick Romano, Deeplite

The cloud was a gift to AI, enabling the compute power necessary for company to leverage powerful ML algorithms.  As edge technologies such as smart phones, drones, and autonomous driving begin to incorporate greater cognitive capabilities, processing speeds and decision making need to be more efficient at the device level.  To solve this problem, Deeplite has emerged with a solution that optimizes neural networks.   In this episode, I sit with Nick Romano, Co-Founder and CEO of Deeplite.  We discuss the challenges of deploying AI in the field, data collection advice for startups, getting an MVP off the ground, retaining senior level talent, and the greatest challenges to AI adoption.   If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.