The Evolution of AI & Machine Learning in India

Big IT market players are employing employees who are proficient enough in AI and ML due to the demand-supply discrepancy as well as job vs talent concerning a particular field.

Though AI application adoption in India is at a budding stage, it truly has a promising future. Among the top-ranking technologies being implemented in India, machine learning stands out across business operations such as finance, accounting, general management, IT operations, and administration.

Machine learning implementation not only eliminates the possibility of human errors but improvise technicians’ precision and efficiency, thereby making machines smarter and reducing their dependency on operators. This led to a paradigm shift in organizations moving to machine learning from traditional data interpretation methods. However, most machine learning applications are interlinked with cloud-based analytics.

ML captures a top slot on LinkedIn’s emerging jobs every year. Hence, augments the demand for machine learning courses and has also been integrated into curricula by Academia. B.Tech programs. These programs ought to have AI, IoT, ML, etc. as essential elements of emerging technologies. While developing changes have forced professionals to upscale their skills to not go astray and stay job-worthy.

From the Indian government investing in AI to the fashion industry infusing this invention to acquire worthwhile developments- a great opportunity drilled down in India recently. NASSCOM stated, that there has been around a 108% increase in the funding that novel businesses acquired in India since 2018. Forthwith, nearly 400 companies in India employed resources encompassing artificial intelligence and machine learning.

For instance, HDFC bank uses AI-powered Bot to enhance the efficiency of the credit decision process. Right from the signature confirmation process to clearing checks, the bank uses AI with about 80 percent accuracy to process more than 2.5 lacks cheques a day.

Swiggy uses ML to train its system to identify veg and non-veg dishes from images. Besides.

RBL bank uses an AI-supported model to identify the stacking of ATMs. This AI-enabled solution scrutinizes the client’s code of conduct as well as that of ATMs, to refill the ATMs on a timely basis.

Concerning mobile phones, digital personal assistants, for instance, Siri, Google Now, and Cortona- all attempt to acquire from the usage and behaviour of the users.

Gaming activities like Far Cry and Call of Duty admire and incline towards these technologies.

Retailers such as Amazon and Target use AI to foresee buyer conduct.

Artificial Intelligence is at present the best interest for innovation due to its catalytic nature in terms of efficiency and business growth. AI and ML have been around us for a while and their potential is yet to be discovered exponentially.