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5 tech trends for 2016

In the ever evolving world of technology you’ve got to keep your finger on the pulse. There are developments in tech happening all around us, with technologies still in their infancy, early adopters are already using it to incredible effect. We have put together our five emerging tech trends to look out for in the tail end of 2016.

1. The Device Mesh

We expect to see a much greater level of interaction between devices linked to a virtual mesh, from your car to wearable tech. The growth of this Device Mesh allows for greater productivity on a personal use level, whilst the ability for multiple devices to collaborate and share information, allows for superior levels of data to be captured - which is great for business. 

2. Information of Everything

The Information of Everything is the actual collation, collection and correspondence of the data recorded from the Device Mesh. This will allow for businesses to make far more accurate predictions about user’s activity. Big Data, although unstructured, is captured through the broad range of outlets on the Device Mesh, subsequently being used to make more accurate predictions regarding user’s online behaviours, allowing retailers to identify flaws in online user experience and rectify this to maximise conversions on the site. 

3. The Cloud

The Cloud has been commonplace for consumers for a while now, but we are seeing a surge in businesses switching to Cloud based servers, with Intel Security stating 81% of businesses are planning on investing in an Infrastructure as a Service cloud system within the next two years. 

Start-ups are increasingly hosting on The Cloud, which removes physical servers - this reduces costs and allows innovation to thrive. With its meteoric rise, we have noticed this switch is already having a pronounced effect on IT recruitment; due to such an increase in demand we have introduced DevOps training to Capita’s Novus programme.

4. Autonomous Agents of Things

We’re seeing a notable rise in the ability of robots to replicate human tasks. This type of software is already taking effect on the recruitment process, with evidence suggesting Autonomous Agents are being employed within companies to undertake algorithmically based tasks. With the shift in entry level employment on the horizon certain organisations are beginning to look at how this is going to effect the typical route of employee progression with their business, as the normal entry positions may no longer exist. 

With this said, we would expect to see more organisations investing in young talent, ensuring that the necessary technical and soft skill are provided earlier in their career path, allowing them access into roles that would have otherwise been unreachable. Without this training investment, we would expect to see a demobilised generation that will be professionally ‘beaten to the post’ by machines.

5. Advanced Machine Learning

Taking Autonomous Agents one step further this gives technologies the ability to actively form an understanding of the process they are working on. By learning from the task, long term it has the potential to systematically work more quickly and with increased productivity than its human counterpart. 

Aspects of Advanced Machine Learning are already commonplace, aiding us in ways many will not even recognise, giving film recommendations on Netflix, or the yet-to-be released Google Car for example. Each of these apply Advanced Machine Learning and at the rate it is being implemented, we can only expect it’s use and utility to accelerate over the coming years.

Read our related blog: Why are cloud computing services increasingly in demand?
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