Healthcare IT Embraces Edge Computing

An increasing number of healthcare organizations are adopting and continuing to add Internet of Medical Things (IoMT) devices to their IT infrastructure and as a result the industry is discovering that edge computing is a more efficient way to analyze data than cloud computing.  This trend is moving the healthcare market into an industry leader for connected devices as clinicians are able to offer improved patient care and interaction through real-time data collection and analytics.  Cost benefits are being experienced as well when data can be analyzed in real-time environments on the edge of the network and not have to be sent to the cloud for processing that could cause bottlenecking due to the sheer volume of constantly produced data by IoT devices.

With an estimated growth of IoMT connected devices to be 20 – 30 billion by 2020, significant advancements will take place in the healthcare industry.  More accurate diagnosis can be made at a patient’s initial interaction with the clinician with IoMT devices;  as well as, improvements made in the future monitoring of patient conditions.  A paradigm shift in connected devices from data consumers to data producers on smart devices means real-time data analytics need to be processed at the edge for realized improvements in healthcare IT infrastructure operations, putting us all in a win-win situation.  Read full article here.

Edge Computing, When Time is of the Essence

Is your head spinning tying to effectively  optimize the processing power of your organization’s growing number of Internet of Things (IoT) devices used to help the business run more efficiently, boost the bottom line and increase ROI?   As the IoT market hovers on the brink of tremendous growth and the International Data Corporation forecasts global IoT spending to reach $1.4 billion by 2021, the answer is probably yes due to the fact that your organization is contributing to this explosive growth pattern.  In addition to that,  the unprecedented volume of data generated by IoT devices is probably putting a tremendous amount of strain on your internet architecture and making your cloud computing model impossible to control.  So, what do you do?

The solution to this deluge of data is edge computing, processing at the edge of the network versus sending to the cloud for processing.  Faster analytics for more immediate response in making business decisions is better served if the data processed is near the device while also reducing some of the pressure on your network.  However, cloud computing will more than likely still have its place in your environment and the goal would be to leverage the benefits of both edge computing and cloud computing to complement one another with an eye towards a balanced strategy and a stable network. Read full article here on marrying the two models.

 

 

 

 

 

 

Weight of the Digitized World on Data Center's Shoulders

Skyrocketing demand for Data Centers in a digital world has changed the requirements and responsibilities that they carry for our personal and professional worlds.  As enthusiasm grows for  IoT devices, big data and digitized services; organizations need immediate access to data from anywhere at any time to make rapid business decisions and stimulate innovation.  Heavy reliance and demand on today’s modern data centers means budgets are rising as well and this looks to be a trend that will continue over the next several years.  The IDC research firm is predicting that data center budgets will rise to $16 billion by 2019 and will be highly focused on automation for increased efficiency.

Along with the new roles data centers are playing at the foundation of an organization, data center professionals will need advanced skills to keep up with multiple technologies in order to meet the digitized world’s demands among growing volumes of data created.  Areas such as data center virtualization, security and IoT technology is going to be the backbone of knowledge needed for data center employees’ success and value to the business.  Read full article here.