Amazons Rajeev Rastogi on AI and Machine Learning revolutionising workplace trends – People Matters

Machine Learning and AI technologies are transforming the future of work by enabling data-driven decision-making and automating routine tasks. In an exclusive conversation with People Matters, Rajeev Rastogi, Vice President of International Machine Learning at Amazon India, shared how programmes designed for the evolving landscape prepare both young and experienced workers for emerging job roles.

Over the past decade, the trajectory of machine learning has been on a continuous upswing, gaining traction across various industries. It is being aggressively adopted by manufacturing, financial services, retail, transportation, agriculture, healthcare sectors, and many more. Machine Learning has become a significant lever in solving customer problems, and the demand for machine learning roles is expected to increase significantly among employers. A study by the World Economic Forum proclaims that AI, machine learning, and data segments will be the top emerging job roles in India over the next five years, while the talent pool is expected to remain the same.

Skill shifts have accompanied the introduction of modern technologies in the workplace since at least the Industrial Revolution, and the adoption of machine learning will mark an acceleration over the shifts of even the recent past.

Training, workshops, and initiatives help talent prepare for crucible experiences and become their best selves. Machine Learning Summer School is a good example of a platform to help foster ML excellence and strive towards developing applied science skills in young talent.

Companies have been adopting technology to better virtual collaboration and tapping into the promise of AI and machine learning to reinvent techniques for boosting employee engagement, productivity, and well-being since the advent of remote work.

Machine learning and data science are advanced tools used to analyze data and enhance decision-making. Informed decisions to pursue a career in this fieldcareer in this fieldmay be made easier if you are aware of the differences between data science and machine learning.

At Amazon India, we believe in fostering a culture of growth and providing equal opportunities for all individuals to reach their full potential. Our commitment to equality extends to various communities, including women, LGBTQIA individuals, military veterans, and differently-abled individuals. We value the unique perspectives that each person brings to our workplace, recognizing the immense value they add to Amazon India.

Amazon's upskilling and reskilling initiatives play a pivotal role in ensuring the workforce is prepared for the machine learning era. While advanced skills will be in demand, Amazon also emphasizes the importance of basic digital literacy. This recognition stems from the understanding that in an age of machine learning, everyone should have the foundational skills to navigate the digital landscape effectively.

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Amazons Rajeev Rastogi on AI and Machine Learning revolutionising workplace trends - People Matters

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