Machine Learning is a subset of artificial intelligence (AI) that deals with creating systems that learn or improve performance based on the data they use: it has unprecedented computational capacity, but on its own it cannot be perfect. It always requires
We live in a world of increasingly smart and interconnected devices. From power grids to industrial control systems and vehicle fleets, IIoT devices are proliferating. Recent estimates project that there will be well over 24 billion IoT devices within the
The Internet of Things (IoT) is creating a new dynamic in the industrial space, specifically manufacturing. Large manufacturing companies are moving to leverage IoT technologies and predictive analytics as a part of increasing profitability and staying competitive. In the U.S. alone,
Machine Learning Requires a Systematic Approach to Systems, Architecture, and data. Developing Machine Learning analytics yields immediate and long-term benefits. 1. Make Machine Learning Part of a Modernization Strategy After decades in research labs, machine learning is now getting enormous attention for real-world applications
Autonomous cars are very closely associated with Industrial IoT. IoT combined with other technologies such as machine learning, artificial intelligence, local computing etc are providing the essential technologies for autonomous cars. Very inquisitive questions for many is how are these
One of today’s most overused buzzword is “Artificial Intelligence”. Both technical and general press is full of articles talking about machines that drive autonomous cars and invent new languages. Many also talk about intelligent machines being a threat to humanity.