A fresh 2018 means a new set of predictions for the tech world over the next 12 months. One truism in information technology remains its rapid rate of change.
Certain core technologies one year might become obsolete within a decade; putting the onus on tech professionals to keep up with these changes. Your learning never stops! With that in mind, here is a quick overview of two industries predicted to see the biggest changes in 2018. Use these insights to add a sense of direction to your organizational planning for the upcoming year.
Healthcare Technology in 2018
The rise of “telemedicine,” an innovation best described as the Internet of Things (IoT) for healthcare, is slated to be one of the biggest 2018 technology trends with the potential to affect nearly everyone. One example involves self-diagnostic apps for a smartphone or tablet allowing patients to check their vitals while a remote doctor offers insights and additional advice. Even smartwatches or other personal devices like the Fitbit provide similar functionality.
In addition to remote integration with healthcare providers, telemedicine also lessens the reliance on in-person hospital care. This is an important point as waiting rooms become more crowded. Doctors are also expected to encourage their patients to use these devices to help manage chronic conditions.
2018 – An Important Year for Information Security
With eCommerce becoming the prevalent way for shopping – let alone online banking, companies in this space need to remain vigilant when it comes to protecting their technical infrastructure. As such, information security is an IT sector predicted to see significant changes in the upcoming year. A “Zero Trust” model is one innovation expected to make inroads in data security in 2018.
Tom Kemp, CEO of the identity management company, Centrify, explains what Zero Trust means. “It shifts access controls from the perimeter to individual devices and users, thereby allowing employees to work securely from any location without the need for a traditional VPN. Secondly, access to services is granted based on what is known about a user and their device, which are all authenticated and authorized,” said Kemp.
In this scenario, machine learning algorithms are used to help determine the risk level of allowing user access to systems and thus permitting their individual transactions. Expect to see Zero Trust models to be used more in 2018 to provide better cybersecurity.
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