Computing Trends for 2016 and Beyond

By February 2, 2016Web Design
The computing industry has seen an uptick in development and accelerating quicker than ever in the infrastructure space in the past five years. There has been a great shift towards utilising enterprise capable infrastructure to deploy not only software for big corporations, but also software better known as apps to the mainstream consumer market. If there’s even a layman indication to go by, just look at the stock market optimism for AMAZON and GOOGLE between 2011 to end 2015 – almost three-fold.
What are the trends for the coming year? Let’s have a brief look.

1. Machines that Learn from Humans
In a push for productivity and making machines work more for us, they will need to learn how to work like us. Major cloud based offerings today offer some sort of analytics as a service, and also machine learning ‘rules’ in the cloud. These learning capability allows developers to build applications that utilise such ‘rules’ through the APIs, for the purpose of security, system optimisation and process leaning. We could be looking at new types of apps for human recognition, logistics excellence or media serving.

There have been proprietary apps in this space for some years, however the difference now is that the machine learning ability is taken out as a separate capability any developer can use. With the availability of data from other domains, a mix and mash of these data and capability will introduce new insights from the complex data structures.

2. Device Mix for the Role-based IoT

In a recent Gartner prediction for the coming years, traditional communication devices based on the internet as its backbone, including desktop and mobile devices will increasingly be augmented by wearable devices, home electronics including appliances with sensors, transportation-based sensors and data collection devices, and environmental devices all capable of capturing data in real-time. They see this digital mesh as an expanding series of devices, services, platforms, informational networks and individuals that integrate together and provide contextual intelligence and enabling greater collaboration. The strong growth of the digital mesh will lead to contextually intelligent and intuitive app design.

3. Solid State Driven Cloud

A number of computing giants have filled their data centers with SSDs for performance reasons and energy efficiency. The cost of flash to reach a price-per-gigabyte parity with mechanical hard disks will remain as a hope for years.

Solid state drives beat spinning disk in price-performance for IOPS-intensive applications such as VDI or high-performance databases, because equally performant spinning disk requires so many spindles to keep up. All-flash arrays and SSD-packed servers are no longer rare.

Mechanical hard disks has made its own advances in squeezing more data in the same physical constraints, so SSDs won’t fully replace hard drives anytime soon.

Conclusion.

It is evident that the next few years will look like a cross between a consolidation and an innovative one in IT. As we see many software offerings being pushed into a different delivery and operational model, new products will come out of it for new markets, or to solve inefficiencies of the new direction.

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