Data Disruption from New Technology Convergence - Part 2

PROLOGUE

Previously I had written about how three emerging technologies are going to converge causing a perfect storm in the world of data. In this blog, let us delve into the details of what that perfect storm would be and how that will change our thinking and computing paradigm for the future. 

And for those who missed my previous writeup on Data Disruption from Convergence, the three emerging technologies are 5G Networks & 5G enabled devices, Industrial IOT and Edge Computing.

This article covers the emergence and convergence of these technologies causing a radical shift in the world of data, data pipelines, its analysis and its application. The underlying technologies that are currently in place will shift in an unprecedented manner changing how data is collected, processed, analyzed and how the results are pushed back to the user. This opens up a plethora of opportunities for startups and diversification for existing enterprises.

This is a summarized version. You can read the full version of this article here

Data Components

In the new world where in these three technologies have completely matured and converged, the data components can be broadly categorized into the following:

• Data Emitters
• Data Aggregators
• Data Processors
• Data Receivers

DATA ARCHITECTURE

DISRUPTION AREAS

In the architecture illustrated above, the velocity, volume and variety of data created, transmitted, processed, analyzed and feedback returned will have to happen in near real time due to bandwidth available. To explain further, 5G will mandate that all other components work in near real time. In the lack of such sub-second responses, the end-user will be waiting with a loading sign for many minutes. Therefore the architecture of the applications that process, analyze and provide prescriptions, recommendations will have to happen in a split second.

Current cloud infrastructures as we know it today will be fragmented making it more distributed for process and analyzing data. This will give rise to data centers in every city and metro to reduce latency to transmit and also bring processing and analysis of data to closer proximity to where the data is generated.

Alternatively as mobile devices get more powerful, they can handle the volume, velocity, processing and analysis of data cutting down the entire need for the data to be transmitted. This explains why mobile manufacturers are building AI chips on to the phones.

CONVERGENCE APPLICATIONS

Convergence applications will be leaps and bounds richer in content than current day applications as they will embed Augmented Reality (AR) to enhance user experience, intuitiveness and usability. The bandwidth combined with increased computing and processing power of adjacent technologies will lead to the rise of next generation applications.

Household Applications

Home appliance such as Refrigerators, automobiles emits diagnostic signals that helps prevent failures and notifies owner of preventive maintenance.

Electric circuit boxes, sprinkler systems, cooking ranges, bulbs emit usage, wattage to help home owners save energy and resources.

Installation and troubleshooting applications of home appliances would also become prevalent.

Industrial Applications

Industrial machinery have iOT devices that emit temperature, pressure measurements, report on gases, steam, toxic materials that would be hazardous and notify operations of potential risks, dangers or schedule preventive maintenance.

Field Applications

First responders such as EMR, Police and Firemen can largely benefit from receiving up to the second information on the surroundings, the situation and get recommendations on how to act, respond.

Traffic Road conditions

Weather, road and traffic conditions can help autonomous cars take decisions to prevent accidents and switch lights, wipers apart from warn the passengers

You can read the full version of this article here

Thanks for reading & your comments!

~ Bala Cuddalore