Analytics

Skip to Content

SPBlogs SPBlogs

All Articles

Five key trends of ‘Learning for employability’ in 2020

 

 

2020 has been a year of unlearning and a lot of relearning. However, in fields like data science, EduTech, and machine learning, a lot of advancements have taken place. Be it about using its knowledge or even being able to understand it fully, we have finally reached a good place. 

 

According to a study by Smoothwall, a whopping 96% of teachers feel that technology has a positive impact on the way students learn and participate in class. EdTech involved more students than a traditional classroom would!

 

So, sit down and let that machine learning adjust the air conditioner on its own- while you read this piece!

 

Responsible AI

 

With great power comes great responsibilities. 

 

This ideology holds very true for AI. As per the recent forecast, 80% of enterprises will shift to adopt AI methodologies in their operations by 2025. This will be a vital factor in streamlining data and analytics.

 

With the current pandemic situation, the key tools of AI such as Machine Learning (ML) and Natural Language Processing (NLP) are yielding predictive insights and elaborate analytics about the spread of the coronavirus, deriving possible containment zones and also stimulating effective counter-measures.

 

Predictive Analysis

 

You know that thing about how, when you go to an E-Commerce site and look for shaving cream, log out and move to say, Instagram… and you find ads of razors all over your phone? That’s precisely the work of predictive analysis.

 

It simply relies on your previously collected data of things in order to predict the future course of events. Fintech, BFSI, Pharma, manufacturing industries among others, are incorporating data science to provide a better experience to their customers.

 

Data will deliver extended Business Value

 

As per the IDC forecast, the global data sphere is expected to bloom from 33 zettabytes in 2018 to 175 zettabytes by 2025. This was before the pandemic; we can only imagine the spurt now. Such massive chunks of data hold great value to improve business, however, its management is proving to be increasingly challenging given its complex aspect and architecture. Despite its enigmatic reputation Big Data and analytics has proven to be a powerful tool in increasing sales, productivity profit, and other business metrics.

 

Significant investments made in chip designs of new age architectures in the form of hardware that are robust and highly integrable can help in expediting complex AI calculations & modeling and generate faster results thereby reducing the dependency of conventional monolithic systems that consume higher bandwidth.

 

Gradually this can be substituted as a scalable  AI solution.

 

Health wearables

 

We all have seen people going all crazy about Fitbit and smartwatches. What does it do? They simply notch up a fair share of growth in the market as people turn to tech to improve their health and amp up their lifestyle. 

 

Machine learning is helping companies in providing detailed yet accurate information with specifics about the user’s activity and health hence, giving insights into an individual lifestyle. Health-related devices are always a plus because people will always buy/ use them.

 

Internet of Things (IoT)

 

No article is complete in the realm of data science and machine learning without this. The Internet of things is precisely ALL. THINGS. RELATED. TO. INTERNET.

 

In layman’s terms it means, everything you use, consume or choose as a customer/consumer gets stored in a larger database which can be mined, get an insight into, or can help in collating information. Imagine the amount of data a simple room air-conditioner can bring in, to the table of a data scientist - right from weather information to the information about your body temperature, your consumption pattern, and so on! IoT scales up opportunities in modern education. 

 

With IoT, there is a vast possibility of creating a digital campus and designing a digital curriculum accordingly. For instance, IoT sensors are often deployed to trace the traffic movements throughout the campus, giving schools key data to work out which fields need better security features.

 

“Nearly 20% of Global GDP is spent on Education and Healthcare. The pandemic marks a massive inflection point for these two precious and grossly under-appreciated engines of economic and social wellbeing,” found a study by HolonIq, a research agency. 

 

As these trends pick up speed, further accelerated by the hyper digitalization and virtualization due to COVID new normals, new job roles are created, and sometimes new industries too - all related to new skills of technical and general competencies! It leads to a demand-supply impedance mismatch in employability and creates the demand for new skills. Hence, unlearning and relearning becomes very crucial for PMETs and all, thereby placing a huge emphasis on “learning for employability”.  This is catered to by the new and varied modes and blends of online learning

 

“Life long learning” lives forever!! 

 

The points mentioned above will help an individual attain inclusivity in employment while also ensuring the faster growth of the economy. Hence, each of these trends are here to stay!  

 

 

Comments
No comments yet. Be the first.

Related stories

Web Content Display Web Content Display

How can we help?
×