A Guide to Real World Artificial Intelligence & Machine Learning Use Cases

AI & Machine Learning Will Drive Industry 4.0

This article looks at the ways in which firms across the various sectors of the economy adopt Artificial Intelligence (AI) techniques. However, before we review the sectors affected it is important to note the underlying drivers that are fuelling the growth in the influence and reach of Machine Learning across the sectors of the economy will only grow as we move forwards. This is because Big Data is only getting larger, velocity of data faster, plus the availability of cheaper data storage plus the arrival of powerful Graphical Processing Units (GPUs) to enable Deep Learning algorithms to be deployed. Furthermore, new research in areas of Deep Learning and other Machine Learning areas will continue to emerge into real world production over the next few years leading to new opportunities and applications.

The DLS team strongly believe that the advent of 5G around 2021 will be a transformative and revolutionary moment in human history. The enhanced speed of 5G over 4G will enable technologies, that struggle today with latency requirements, such as virtual reality and autonomous systems, to perform with real time efficiency.

This will be a world of intelligent Internet of Things (IoT) on the edge (meaning on the device) where the data is processed at the place where it is generated and Deep Learning models can run on the device itself rather than on a remote cloud server. This will obviate the need for an autonomous agent such as a robot or vehicle to wait receiving a response from a remote server before it can take an action.      Read More

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