4 AI Trends That Will Shape Up India’s Tech Landscape

Technology has progressed to model and algorithm-based machine learning, with an emphasis on perception, reasoning, and generalisation. Artificial intelligence (AI) has benefited a variety of industries in recent years and will continue to do so in the future. 

AI has fuelled the development of numerous advancements, including the Internet of Things (IoT), robotics, analytics, and voice assistants! 

AI’s Role In Daily Life 

We’re seeing life-changing advancements in various aspects of our professional and personal lives as AI becomes more integrated into our daily lives. From using voice assistants like Alexa and Siri to unlocking our mobile phones using face recognition, we’re using the technology more frequently than we think. 

We see AI’s capabilities every day, whether it’s on social media when we see a personalised feed, running a Google search about the latest movie we watched and finding the best match for our search even before we finish typing, and much more. 

Diverse Applications

AI has the potential to significantly benefit the manufacturing industry. Intelligent, self-optimising machines that automate production processes and forecast efficiency losses, facilitating better planning, detecting quality defects, and enabling predictive maintenance,  are the future. Predictive analytics and robotics in manufacturing can significantly improve supply chain operations and product quality.

It is being used in the education sector to digitise textbooks, early-stage virtual tutors assist human instructors, and facial analysis measures student emotions for better results. Furthermore, AI can enable inclusive global classrooms for students with disabilities and without language barriers.  

AI is the future of cybersecurity because it can process large amounts of data in order to constantly look for anomalies and thus predict threats. Companies can save a significant amount of time and effort by using AI to track, detect, and respond to cyber threats.

AI in Recruitment

If you are pushing forward in the application process in the hopes that a hiring manager will overlook a minor error, you may be in for a rude awakening. An automated applicant tracking system, or ATS, now rejects up to 75% of resumes before they are even seen by a human, demonstrating the significant role that artificial intelligence is already playing in the recruiting process.

Given that AI will have such broad effects across numerous industries, it is also a wonderful area to concentrate your efforts on if you want to advance your career or boost the competitiveness of your professional profile. 

In the next five years, more jobs are anticipated to require AI or machine learning knowledge and its application in your field of choice or expertise. If you’re looking to further your expertise in this area, take advantage of some of the excellent free online AI courses that are now accessible.

Complementing Humans 

The advancements in the field of AI, combined with popular culture depictions of it as a horde of manic mighty robots out to destroy everything humans have built, have contributed to the myth that AI is here to replace humans. However, the planet is in danger due to factors such as global warming, nuclear threats, growing social divides, pandemics, and other human-caused disasters. 

Having said that, it will not eliminate humans if we do not make it the “goal” that is “rewarded” for any AI to perform that action. That still leaves the issue of suffocating our thinking brains, given that the majority of decisions we make will be AI-driven!

AI, on the other hand, has the potential not only to coexist with humans but also to improve their quality of life by freeing up humans to work on more complex and strategic initiatives while also creating more meaningful employment opportunities in the fields of AI, NLP, and machine learning. 

Predictive and prescriptive AI, for example, has the potential to help organisations reduce their carbon footprint by forecasting future emissions and assisting them in developing robust carbon reduction methodologies.