Beyond the frontiers of disabilities. How technology is opening a whole new world for people with disabilities
The past two decades ignited the technological revolution we are living today. However, even though companies embraced it in public, most of them have been slow in adapting their workplaces. We’ve all heard about the famous paperless office, but employees are still drowning in a sea of paper. Process re-engineering was another buzz word, but customers still face manual systems with time-consuming processes at the backend. Remote working was the cornerstone of our technological advancement, yet employers were afraid of losing control, and their doubts extinguished these excellent initiatives.
Then the pandemic happened. Everyone was in shock and panic seeped in. The only solution was to switch online, quickly digitise our paperwork and start rethinking our processes. And companies realised that things weren’t so bad after all. As a matter of fact, before the pandemic, only 10% of the workforce primarily worked from home. When it finally passes, this number will increase to 25%. Furthermore, employers are more open to this alternative form of work because it carries several benefits such as downsizing office space, decreasing meeting hours, reducing business travel, and making office hours more flexible.
But there’s another benefit which many employers do not realise. The talent pool of potential employees suddenly increased by several folds. Workers do not need to reside in the country where they are working (if they can work remotely). Some countries like Bermuda, Croatia and many others are even offering working visas. But this pandemic is also opening up new horizons for another sector which has a lot of untapped potential; people with disabilities.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
There are many intersections and overlaps between AI and data science. AI has numerous subsets, like Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). With many career opportunities in both fields, there are lots of conflicting perspectives on educational paths for starting a career in one of these fields.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
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