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edge computing

There’s no doubting it-companies are increasingly shifting their deployments to the cloud, leaving the option of “on premise” behind. And why not? This is, after all, a challenging time for the space, what with the advent (and increase of) over-the-top (OTT) players, quick turnarounds, on the fly scalability, enhanced payment models, etc. all. Surely, there is no cause for debate!

But, let us examine it from a different perspective. Could there be any reason for services to be delivered from as near to the user as possible? Could there be any reason for communication service providers to deploy edge computing nodes closed to the end users? Could there be advantages to be accrued by the end consumers, the service providers and the communication service operators themselves? I allude to benefits such as improved response times, reduced bandwidth consumption, better quality of service, data offload, etc, of course.

If you ask me, the answer to these questions are all affirmative.

Permit me to explain.

The challenges the end users are facing today are multiple-delayed and jittery content delivery, site loading time, video quality, delivery, buffering, etc. All these directly impact the consumers’ service experience. From the communication service providers’ standpoint, it is a no-win, as, despite heavy investments in upgrading the core network; the benefits are too few-for them and the customer. Why?

First, content processing and delivery is taking place from the cloud, which may reside continents away. Even if data capacity is available on the communication service providers’ air-interface, the internet could get so choked that consumers are not able to obtain the required throughput. In fact, this challenge is becoming increasingly compounded, as multiple data intensive applications attain center stage today. These, of course, include, multi-player/AR/VR gaming, OTT streaming services, increased surveillance use cases, penetration of IIOT, expansion of smart cities and artificial intelligence (AI) applications.

Secondly, as a majority of end-users utilize a significant amount of mobile data (which is quite an understatement!), deploying edge cloud delivery networks (CDN) becomes very urgent. Of course, this deployment can take place either at the communication service providers’ outfit itself or at central places, determined through collaboration amongst communication service providers. The reason is simple-ensuring content caching is achieved near users and can be delivered locally, instead of content originating from remote origin servers or CDN servers. It not only reduces latency, but results in saving the bandwidth cost for the communication service providers as users requests are not going to the internet every time. On top of it, intelligent edge CDN can be considered an innovation. Intelligent CDN supports the model, where, depending on the user data network, the location of CDN or edge CDN is determined. If user accesses the data from the operator, the content service provider returns the edge CDN to access the content. In case data is being accessed via Wi-Fi or some other place on the internet, this access takes place on the cloud CDN or a direct to origin server. Thus, one gets the best out of using a distributed cloud and edge computing.

In a nutshell, these innovations are required to optimize cost, enhance user experience or serve content as fast as its consumption. What is crucial to keep in mind here is that as an increasing number of consumers begin consuming data, factors such as reduced data rates, increased service penetrations, increases awareness or whatever the case may be, the bandwidth available in the network is not infinite.

In my opinion, the time has come to take information processing as close to the edge as possible i.e. to the place where most of the data is either getting consumed or generated. The idea is to take only processed information to the cloud, so as to minimize data consumption and enhanced user experience.

Indeed, technology 2.0 comes to the fore!

May 18, 2020 0 comment
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A growing number of operators and organizations in today’s world are tilted towards the use of data-driven strategies. Data is the key to success for organizations today and operators have come to realize this of late. As part of this realization, operators are also looking for ways to generate money from the data they have. While data monetization is still at a relatively nascent stage, the process is deemed to have a huge and lasting impact on the industry verticals.

With data playing an important role in generating analytics and signaling growth, every company at some stage of time would become a data company through indirect or direct approaches. The presence of data inside your organization can be useful for you in this hour, as it would help propel your customer service strategies.

Data monetization is said by industry experts to be linked with digital innovation. Both digital innovation and data monetization go hand in hand, and success in one can only be experienced through success in the other.

While data monetization is pretty much present across the board, the telecom market is said to be the biggest beneficiary. Some of the latest findings made in this regard through a recent research indicate:

  • The total global revenue being generated by Telecom API will reach a massive $319.6 billion by 2023.
  • Both the North American and Western European markets are the biggest regional markets for DaaS.
  • Telecom API revenue related to Edge Computing will go over $395 million by 2023 within North America alone.
  • The structured data market is currently greater than the unstructured data market, but the latter can overtake the former anytime.

Data monetization is important for the telecom industry because of how it can lead the push into the dynamism of the future. Data monetization can help stop the dwindling overall profitability of businesses while answering customer demands for agility. Customers expect better performance and convergence, and data monetization can provide exactly that.

Operators can keep up with the competition through data monetization methods aimed towards getting them the success they want. Telecom operators already generate a massive amount of data, which is extremely valuable to them and other organizations present outside the telco industry. As the telecom industry faces the stagnation in revenues from core processes, it is vital for them to understand the opportunities at hand here and go for the success that can be achieved through these methods.

Challenges in Data Monetization

While data monetization does offer a lot of data driven growth, there are also some intricacies that should be discussed in detail here. There are some challenges currently prevalent in data monetization, which can cause a halt in the unparalleled growth that telecom companies have currently achieved and want to achieve over time.

Telecom companies are in a rat race of sorts to figure out just how their business model can be adjusted to incorporate new avenues focused on data monetization. All the opportunities for revenue and growth can only be achieved if organizations realize the challenges in their current processes and how they can be overcome.

Some of the challenges of implementing a data monetization model in your telecom operations include:

Conceptual Understanding

Organizations cannot start working on data monetization without a conceptual understanding of the data they have. The enterprise data present with most telecom organizations is currently in its raw form and hasn’t been structured the way most operators would like.

To make this data workable, operators would have to develop a conceptual understanding of all that comes within it. The data needs to be structured and analyzed to increase the value that is currently associated with it. It is really amazing how small adjustments to your data can increase the value that it brings to your organization.

Structuring the Data

The data when analyzed needs to be structured so that it can help find out the trends currently circulating in the market. The data in its raw shape is nothing but a bunch of nonsensical figures and stats. Once you structure the data and put it through a machine learning algorithm then you would be able to understand just how the data points towards certain trends in the market correlate. These trends can be carefully studied by you to make the kind of analysis that you want here.

Developing the Right Strategy

Once you realize the value of data it is necessary that you develop and work on the best strategy for sourcing data that is both reliable and relevant. For your data to be considered adequate and authentic it is necessary for it to be trustworthy. The data can only be considered reliable when it is sourced through the right means.

User Friendly Tools

Lack of user friendly tools and techniques for analyzing and collecting data can come and harm you in the long run. If you want to work on your data for extracting actionable insights, you should make sure that the tools and techniques you have are user friendly and easy for your employees to comprehend.


Mastering the legalities is another hassle that some organizations will have to face. There are numerous regulations coming pertaining to the use of consumer data and telecoms would want to remain at the right side of the law for avoiding any legal repercussions.

Strategies to Monetize Data

Some of the strategies to monetize data for telecoms include:

Understand What Competitors are Doing

This might sound too basic, but before you start working on your data monetization strategy, you should understand just what exactly your competitors are doing. An understanding of what your competitors are doing can act as a benchmark here.

Analytics Technology

To analyze and work on data the right way, you need the perfect analytics technology as well. We believe that such a technology can help you significantly improve the results you get.

Have a Specialist Team

There are risks to big data that only specialists can gauge and manage. If you want your big data endeavors to succeed, you want specialists all over your team. Gartner has predicted that on“50 per cent of chief analytics officers will have successfully created a narrative that links financial objectives to business intelligence and analytics initiatives and investments by 2020.”

The First Steps to Take

The first steps you take will determine the overall success you achieve. These steps should be to:

Determine a Big Data Platform

For any of your data to be monetized, you should first ensure that it is available on a big data platform. Operators should look to harness data for driving their decision making skills.

Make Sure Data is Appropriate for Outside Use

The data must be structured and legalized to be fit for external outside use. The relevant regulations should be adhered to, as any legal repercussion can cost you a lot.

Meet a Real Market Need

To monetize data, operators should be motivated to meet a real market need present within the market currently. They should know just how the market would use their data in the time to come.

Data monetization presents a unique opportunity for telecom operators to diversify their revenue streams. It might not transform the fortunes of all telecom companies, but it is worth pursuing because of the bright future that it has. With telecom operators facing stagnancy in revenue generation, data monetization is a must for them now.

November 28, 2019 0 comment
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