By 2020, the number of connected smart devices interacting with one another through the Internet of Things (IoT) will reach nearly 20 billion.
Yes, that is a lot. However, deployment and manageability of IoT devices in fringe ecosystems still presents a head-scratching problem for designers and developers alike. IoT integration in the automobile industry, for example, has been notably successful. Unfortunately, the average age of vehicles in the US is around 10 years old. As a result, these vehicles cannot be incorporated into an IoT ecosystem, creating a concern for the marketability of these IoT products.
This problem is exacerbated by the lack of industry professionals being trained in business intelligence, as well as the amount of IT students who have no skills corresponding to this revolutionary technology. Both businesses and education systems must keep in step with the IoT trend in the market today. Here are a few ways to do so:
Cloud Data Analytics
In order to better connect with the Internet of Things, businesses should begin restructuring their analytic models into cloud database analytics. The cost of investment in this new technology is close to zero and cloud databases are shockingly easy to configure.
If you are looking for a way to shoot down skeptics, trial cloud databases can be implemented. The deployment of relevant data to needy ecosystems through the cloud database is instantaneous. The mobile access of cloud database allows the user to always be connected to their important data.
Security concerns surrounding cloud database analytics are unfounded as they are exceptionally secure. IT maintenance of cloud database analytics is again, close to zero, as there is no hardware installation involved, and no need for automatic updates. Analytics models built on cloud database can be accessed by partnering companies without crossing the company firewall.
The Future is Here
Business leaders looking to integrate an IoT component in their companies must start training employees in business intelligence skills. Educators must impart knowledge on how to collect, store and analyze smart device data streams, sensor data analysis, data center management, predictive analysis and programming skills in leading big data platforms.
To really incorporate the advantages of IoT into your business, education systems need to start focusing on training individuals with creative IoT skills to feed the influx of systems that will be introduced in the next 10 years. In the future, the key players in the industry will be data scientists with knowledge about computer science, statistics and business. They will drive this technology into the future through education and innovation.
Photo: Flickr / Omran Jamal
