13 July 2017
During the innovation lifecycle, the development phase is often faced with challenges. To achieve the ultimate, innovative goal, solutions must be found – requiring even more advancement.
When asked about the future of IoT, Daniel Burrus (CEO of Burrus Research) confirmed that it’s going to be much bigger than we’re currently imagining. “This is a huge and fundamental shift. When we start making things intelligent, it’s going to be a major engine for creating new products and new services. Of all the technology trends that are taking place right now, perhaps the biggest one is the Internet of Things; it’s the one that’s going to give us the most disruption as well as the most opportunity over the next five years.”
According to Ahmed Banafa, named as number one tech voice to follow by LinkedIn in 2016, IoT faces some major challenges in terms of the technology at its foundation. The technology challenge is underpinned by security worries, and evolving connectivity. “At present, we rely on the centralised, server/client paradigm to authenticate, authorise and connect different nodes in a network. This model is sufficient for current IoT ecosystems, where tens, hundreds or even thousands of devices are involved. But when networks grow to join billions and hundreds of billions of devices, centralised systems will turn into a bottleneck.”
He confirms that compatibility, longevity, standards and intelligent analysis are key topics under the technology challenge. “Factors driving the adoption of intelligent analytics within the IoT include artificial intelligence models, which can be improved with large data sets that are more readily available than ever before, thanks to the lower storage. Cloud-based crowdsourcing services are leading to new algorithms and improvements in existing ones at an unprecedented rate. Analytics tools enable processing and analysis of data on a real-time or a near real-time basis, driving timely decision making and action.”
Construction News reporter, David Savage, in turn exposed the challenges facing smart buildings. Savage states that; “The most significant transition this trend represents is buildings moving from being relatively data-poor environments to becoming data-rich.” As these buildings become data-rich, the management and storage of this data becomes critical in order to derive benefit for the business (rather than cripple it).
“In large retail centres, for instance, it is increasingly possible to capture and integrate data about where, when and how consumers shop, enabling retailers to tailor advertising, opening hours and store location, among other things,” adds Savage.
A recent United Kingdom survey (sponsored by the Electrical Contractors’ Association [CEA], the Chartered Institution of Building Services Engineers [CIBSE] and SELECT, which is an electrical trade group in Scotland) revealed that legacy systems and the combination of various different components and technologies presents challenges for both the IoT and smart buildings.
“A common technical problem is the mishmash of equipment, components, systems, and interfaces that often can’t talk to each other or coordinate. A legacy BMS (building management system) with its proprietary architecture, perhaps assembled in a piecemeal fashion, is rarely up for the smart building challenge. It’s not set up to deliver the measure of coherent data collection and analysis, information sharing, and master control capabilities needed to manage all of a building’s systems at the level sought in the most ambitious of smart building models.”
So, what’s the solution?
Implement innovative software solutions that provide real management capabilities, and are tailored to combat these unique IoT and smart building challenges. With sustainability, flexibility, efficiency and the right network, this can be achieved. This software must focus on the collection, management, storage and analysis of the resultant data in such a way that the business does not become submerged under a wave of data that could be useful, if only they could stem the flow and sort the content.
For more IoT challenges from Ahmed Banafa: http://bit.ly/2rveF94
For David Savage’s full article: http://bit.ly/2hhDrai
For more about the UK Research: http://bit.ly/2rI8qmh