Artificial Intelligence is a term we’ve been hearing for the past few decades. From its humble beginnings towards the end of the 20 th century via depictions in movies such as Terminator and Robocop , to its more recent manifestations via chatbots and shopping recommendation engines, AI and Machine Learning techniques are now well-poised to wipe out redundancy and disguised unemployment at the workplace. Let’s take a closer look at understanding AI, its disruption capability, and how you can future-proof yourself.
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So, what is AI, and how does it work?
Data forms the backbone of any organisational decision today. There is a plethora of raw and unrefined data all around us. According to a GE report, over 10 TB of data is generated per aeroplane engine for every 30 minutes of flight time. Harnessing this data and making sense of it is where Big Data techniques play a critical role. Machine Learning algorithms permit computers to keep absorbing this mountain of data and its deep learning and neural network patterns allow it to come up with meaningful inferences, almost to the point where it can safely predict the next steps. This is what the human mind does. This is Artificial Intelligence.
How can you future-proof yourself, today?
While AI has the potential to unsettle the way we perceive employability, it also gives rise to a completely new function, fueled with a large number of highly skilled jobs around statistics, computer programming, design and engineering. An estimated two million jobs are expected to open up by 2020 and staying abreast with relevant skills is going to define the next wave of opportunities.
Upskilling yourself in competency-based training tools and programmes is the need of the hour and much of the focus of the Government and private-sector participants is now on ensuring the supply-side of manpower is commensurate to the expected demand for these skills. With the arrival and wide acceptance of EdTech, upskilling yourself is now within reach. MOOC platforms have also played a pivotal role in the adoption and democratisation of such trainings and made it possible to learn right from incubators and AI labs in leading universities such as MIT and Carnegie Mellon. […]