Deep learning enriches Digital Video Analytics
Consider the world’s technical mega-trends: the proliferation of cloud computing, the cloudification of networks, edge computing with artificial intelligence (AI), and analytical capability. Consider over half of the world’s data was created in the last two years and less than 2 per cent of that data has been analysed.[1] Increased compute demand and diversifying workloads are driving growth and applications of AI, high-performance computing (HPC), multi cloud computing and orchestration, networks, databases, virtualisation and cyber- security.
Higher compute performance and lower network latency is overlayed by the biggest trend of them all – the decreasing cost of computing. In just five years, between 2012 and 2017, the cost of storage plummeted 77 per cent and compute costs dropped 56 per cent. While in the same period, computer processing performance increased a whopping 370 per cent.
Data processing is rapidly moving from descriptive and diagnostic analytics to predictive analytics, giving foresight; prescriptive analytics, for simulation-driven, improved decision making; and cognitive analytics, with self-learning and automated action capability.