Hot Topics

Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the most impactful and far-reaching technology developments of our time. Increasingly these two technologies are deployed together and the term ‘AIoT’ has come to the fore.

IoT ‘platformisation’ sees software capabilities that previously needed to be built from scratch or adapted from existing other middleware being replaced by purpose-built platforms to simplify the building and deploying of IoT applications. There is a wide range of platform types used for IoT, including connectivty management, application enablement and device management.

One of the defining characteristics of the Internet of Things is the requirement for connectivity. This page provides an overview of the key technologies used to connect IoT devices and the key factors that will influence which to choose.

Enterprises are increasingly interested in using dedicated Mobile Private Networks (MPNs) to provide greater control and security for their on-site connectivity, particularly for IoT. It is also a high priority for mobile infrastructure vendors and communications service providers (CSPs), looking to open up new markets, particularly for 5G.

LPWA technologies (such as NB-IoT, LTE-M, LoRa and Sigfox) have been optimised to support machine-type communications: small messages, generally sent infrequently, and where low-latency is not a critical requirement. This page explains the technologies, what they can be used for, and some of their challenges.

While it may have suffered from a little over-hyping, 5G offers some really significant improvements compared to previous generations for supporting the Internet of Things, including high density, low latency and high bandwidth, all of which will (to varying degrees) be valuable to IoT use cases.

Digital Transformation (DX) has been hitting the headlines in the technology world for the last few years. If reports are to be believed, every large corporation is going through a fundamental technology-driven change that will transform every aspect of how it does business. This type of fundamental technology-based change is coming to almost all industries, and it will radically shake up how they do business.

Artificial Intelligence, and all its sub-components (machine learning, deep learning etc.), is one of the most intriguing and potentially transformational of all of the currently emerging technology areas that Transforma Insights tracks.

Enterprises around the world are focusing an increasing amount of attention on sustainability, often as part of a set of formally adopted Environmental, Social and Governance (ESG) goals. Technology provides and essential mechanism for achieving many of them.

Edge computing makes processing and storage resources available in close proximity to edge devices or sensors, complementing centralised cloud resources and allowing for analytics close to those end devices. This page explores edge computing applications, topographies and challenges.