Telecom sector: How to make learning more systematic & engaged using Corporate Learning Platform

With the development of 5G & next generation smart phone technology, the telecommunication industry is evolving at a rapid pace. The global telecom services market size was valued at USD 1,657.7 billion in 2020 and is expected to expand at a compound annual growth rate (CAGR) of 5.4% from 2021 to 2028 (Grandviewresearch.com, 2021).

 

The soaring popularity of mobile phones among different generations and large number of app-based services delivered through the mobile platform has been the greatest game-changer in the industry.

 

In the post COVID 19 situation, the demand for high-speed internet has increased with offices, schools and others operating their daily routine online. In 2020, the mobile data services segment held the largest share of nearly 33.0% and is expected to exhibit a significant CAGR from 2021 to 2028 (Grandviewresearch.com, 2021).

 

For Telecom sector, strength is in numbers – there is a huge customer base to handle, which needs a matching ratio of workforce to provide support. The training of this huge number of workforces can be quite challenging to manage but unavoidable because telecom is also a very competitive market. From onboarding to continuous employee training on changing product offerings, service parameters, and technological advances is crucial in this industry. With constantly growing workforce you would need a corporate learning platform to manage the process seamlessly and help in achieving the learning targets faster which in turn shall provide the competitive edge to your employees.

 

How a Corporate Learning Platform can make learning more engaging?

 

Online or offline learning infrastructure basically serves two purposes. On one hand it creates a robust system for the learners to seamlessly participate in their regular learning process. On the other hand, it must be an engaging system which will ensure continued learner participation. Huge manpower in the Telecom industry also signifies high rate of attrition, third-party enrolled employees, and lower engagement. An extended enterprise learning management system is known to automate the user management of this extended workforce which includes sales representatives, external distribution partners, franchises, service technicians, customer support executives etc. Let us discuss how the system can also keep your employees interested in their learning solving the challenges of attrition and lack of engagement.

 

Gamified Learning Experience

A gamified LMS with interactive features can be beneficial for your extended workforce to encourage them learn newer concepts quickly. This can be achieved by implementation at an individual level or in a group. The LMS allows you to create a healthy competitive environment with individual scores displayed on a leaderboard to boost learner engagement through scores & badges.

 

AI powered Content Library

The use of OTT platforms has increased post COVID19 and some of these apps are extremely innovative in terms of the content categorization and recommendation that they present to their viewers. On similar lines, LMS can provide recommendation of video-based learning nuggets for quick consumption & greater retention for the learners. These nuggets are very beneficial to the sales & customer support team as it serves as point-of-sale support.

 

Mobile App support for extended workforce

Collectively, the human population spends more than 60% of their time on their mobile devices. This makes the mobile phone a perfect device for learning and the mobile app variant of the LMS provides the learning on-the-go. This helps learners utilize their off hours to as it provides both online & offline learning accessibility.

 

Social Learning Tool

The social learning platform seeks to engage learners and provide a human context to their learning experience. These tools help to create an environment of collaboration between employees and provide an active platform for the remote workforce to engage with. The connection between learners and instructors can also benefit from a social learning platform. Experts believe that social learning tools promote peer-to-peer learning, which constitutes of 70% of all corporate learning, in the virtual environment.

 

To summarize, the customer base for Telecom sector has been growing daily and this shall remain the trend in the upcoming years. Thus, Telecom companies need to strategize their plans in having a workforce ready to manage this huge customer base with equal focus on the training of new hires and upskilling of existing employees. With some of the biggest names in the domain as our client, G-Cube has expertise in handling the learning, training, and development needs of Telecom sector. Our learning experts will be happy to answer any queries you may have.

Facial Recognition is not a Remote Assessment Fairytale Anymore!

Aviation is a dynamic industry and trust us, when we say that we understand the multi-layered issues of training and assessment in an industry where the workers are continuously on the move. In a set up that is so highly regularized and rightly so, training is not a casual upskilling exercise. The training in aviation is incomplete without the assessment and the authentication of the learner during this assessment which is remote in many occasions due to the dynamic nature of the industry.

Traditionally, the authentication of the person appearing for the remote assessment was being done through designated username and password, and also two-factor authentication but the loophole remains that it does not have proof of authentication. Thus, to ensure secured proctoring of these assessments, GCube proposes Facial Recognition, and we implore you that you hear us out as we shall be surely answering all the questions of high cost and accuracy issue.  

As a client posed the problem, we got into action to research the challenge and that is how we arrived at the facial recognition solution to make proctored assessment process seamless and efficient with practically zero imprecision. However, like with technology, facial recognition has been presented with challenges in its capacity but, the FR solution in GCube’s Aviation LMS has countered and resolved most of the following challenges by integrating a robust system.

High costs involved in facial recognition: Facial recognition involves continuous clicking and matching of the images with the ones in the database. Every passing second involves 24 frames, so a session of 30 minutes will increase the cost manifold. GCube’s solution counters these exorbitant costs by clicking the pictures of the learner at irregular intervals (which cannot be predicted by the learner) and matching it with the database. In addition, the FR now is offered as a service by providers like AWS and Google Vision so there’s no need to build a separate infrastructure. This way the costs are greatly controlled without affecting training and assessment.

Improved accuracy: Another challenge that used to come in the way of using facial recognition is accuracy. As the current facial recognition systems are trained on larger data the accuracy levels have increased following the very basic principle of machine learning. Of course, add to this the availability of high-end camera equipment at reasonable pricing which has improved the FR technology by many folds.

Privacy – the bone of contention in the field of FR:  For a long time, facial recognition has dealt with the issue of privacy. This has however been solved in the GCube facial recognition suite by matching with the reference image and erasing the rest of the captured data except in case of a discrepancy. In case of any discrepancy below the mismatch threshold of 70% between the uploaded photograph and the snapshot, the following error messages, dependent on the upload will be registered:

·             MF – Multiple Faces Detected

·             OF – One Face Detected

·             NF – No Face Detected

The snapshots which do not cross the mismatch threshold are stored for the proctor or mentor for their approval along with the original photographs the learners have uploaded. The proctor or the mentor can then access the report workflow and deal with them accordingly.

Thus, we have now made Facial Recognition an accessible technology and not a fairytale from the future.  

With over 100 industry awards in learning technologies, G-Cube would love to share more information with you about our facial recognition solution engineered specifically for the Aviation industry. Please do write to us here.