Posts filtered by M2M Machine to Machine
IoT platforms in the media industry
Reading Time: 3 minutes The Internet of Things (IoT) is a technology that has come to stay. IoT is much more than current machine-to-machine (M2M). Classical M2M is mainly oriented to remote metering and remote control, while IoT platforms are one of the pillars of the realm of big data. However, the acronym M2M is no longer in use, […]
Machine learning requires different skills
Reading Time: 3 minutes Machine learning is a class of artificial intelligence methods that allow a computer to learn how to solve a problem by precedents. In simpler words – a set of approaches and algorithms that deploys historical data to search for specific patterns and uses these patterns to solve specific problems. There is often confusion in the […]
How machine learning can improve people analytics
Reading Time: 4 minutes What do we mean when we talk about people analytics? People analytics is the way HR departments can use various techniques to create models of behaviour and statistics that work to refine and enhance life at work for employees. This involves both improving productivity and benefits that affect the employer but it also works to […]
The evolution of Machine to Machine (M2M) networks to massive Machine Type Communications (mMTC)
Reading Time: 7 minutes Communications are changing rapidly. Since the introduction of the first LAN connections, device connectivity has rapidly proliferated into vast cloud networks. Today, the evolution of Machine to Machine (M2M) connections into massive Machine Type Communications – otherwise known as the Internet of Things (IoT) – marks a significant turning point for the Telecom, Media & […]
