Covid-19 has severely impacted the whole world socially, economically and health-wise. And as uncertainty grips the post coronavirus phase and the “new normal” phrase lingers on, one thing is for sure from many debates and discussions—neither the business models nor workplace dynamics will remain the same as before. 

Already, innovative tech giant companies like Google have developed interactive maps to help track both local and global cases of the novel coronavirus. These maps feature statistics of verified cases, recoveries, deaths as well as predictions of how the crisis is likely to unfold in the near future.

Chances are that you’re relying on one of these kinds of maps to stay updated now and then with the latest on the pandemic. What many users of such apps do not know is that data science is behind the data-driven observations regarding the spread of the virus. 

The masking and social distancing which have been advocated for across the globe are set to become a part of the new normal. What’s more, working from home will also form part of employer-employee contracts. 

Data Science and Disruptions.

So, what role will data science play in driving this change? What skills will be required in this situation? Of course, a business model inspired by Data Science has been increasing in the past few years. The post-COVID-19 period is set to accelerate this further. 

While unstructured data and data-driven decision making were being integrated across various business verticals, companies dragged behind the curve in terms of implementing them within their manufacturing processes. 

We should expect major disruptions in the manufacturing processes thanks to increased automation and use of robotics. Sci-fi movies will no longer be fictive; the scenes will become reality as scientific experts embark on a quest to develop complex computer simulations with shop floors being ‘manned’ by huge robots. 

These kinds of decisions will not only be driven by market efficiencies but also by concerns to maintain ‘social distancing’. 

New World, New Skills

Businesses and governments across the world will endogenize these eventualities in their decision making processes. As such, new skill sets will be required and those forward-looking folks must acquire them. 

No doubt, the integration of Artificial Intelligent (AI) and Machine Learning (ML) knowledge with business will require professionals to blend technical skills with domain expertise. 

The model of a manager is also bound to go through a transition. Pre Covid-19, the approach used to adopting AI and ML in workplaces was generally a matter of striking a balance between demand and supply leads. 

In most cases, companies applied available data science tools and techniques to solve problems and sometimes extract or generate newer data based on a specific business prediction.

Despite being at the initial stages, innovative models to provide online learning platforms are already being developed. Perhaps this is an area that will work in the favour of most people who can’t travel abroad to study due to high costs involved. 

Generally, the success of any online education portal is measured by the rate of program completion. Most education systems in the world depend on “tutors” and online learning will come in handy as it enables tutors to constantly engage with their participants who would otherwise struggle to complete their online courses. 

Conclusion

All in all, there are rising concerns that there will be an upsurge of individualistic approaches as social distancing will minimize the need for human-to-human interactions even further.

While it may be too early to determine the ultimate fall out, companies are faced with a greater challenge to form synergies. It’s therefore crucial for professionals to be empathetic and get skilled technically as a new normal awaits us.