Daniel Warner is an experienced Chief Executive Officer with a demonstrated history of working in the information technology and services industry. Skilled in innovation development, executive reporting, management, and business development.
AI has huge implications for the way businesses operate, yet so much of the modelling is done in carefully controlled test environments. When deployed in real-world situations, anomalies always occur, which disrupts lab-grown models and undermines companies’ efforts to revolutionize. By scaling edge AI, optimizing the endpoints collecting the data, and making models more resilient, we are radically accelerating learning and, in doing so, giving our customers a competitive advantage in a crowded marketplace, how they use autonomous systems effectively.16 June 2021