[Channelnomics] How do we crack into the next IoT layer? Avnet’s Miriam Murphy discusses the next phase for IoT and the channel opportunity

In the tech world, we seem to thrive on the phrase: “There’s never been a more interesting time in the industry.” It’s no wonder why. There have been so many transformational phases over the past two decades. We are in an industry of constant change, yet still it’s hard to imagine we’ll continue to see this happen at the same pace in the coming decade.

On the other side of the coin, when you consider the Internet of Things (IoT) and the opportunities that such a market will open up, suddenly the next phase of change does not seem as difficult to envision. The rollout has already started but what does it looks like, really? It can be a little bit overwhelming to think that ‘anything that can be connected, will be connected’, but we cannot ignore

This next phase is nt just about enhancements in personal mobile and home devices. The opportunity that IoT opens up for enterprise connectivity is immense. Enterprise is being touted as the largest of the three main IoT markets next to government and connected home. Employee productivity, increased asset utilisation and supply chain efficiencies are just some of the key benefits the enterprise space will enjoy.

Growth opportunities
So, what does this mean for growth opportunities? Smarter devices in the enterprise space, connected to the IoT ecosystem, mean data analytics solutions are employed to help frontline staff and power players in industry make more informed decisions based on greater accessibility to organisational and operational data.

In this way, the world of work has already started to embrace analytics and information from the ‘edge’ of enterprise IT infrastructure such as sensors and gateways. We use this data everyday too, like when we check the weather forecast and make the simple decision on wearing sunglasses or holding umbrellas, we’re using information based on complex mathematical models driven from enterprise level analytics engines. These are making sense out of huge amounts of sensor-driven edge data. This more effective use of data mining in the enterprise space alone is already having knock-on effects like creating a market need for big data storage solutions and services, not just data analytics and business intelligence (BI) products.

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