Machine learning and artificial intelligence (ML & AI) are integral elements of the contemporary tech world and are witnessing a fast-paced growth rate in India. ML-AI and Big Data have especially emerged as the backbone of the new-age and innovative startups of the nation.
As per a report made by PwC on the impact of artificial intelligence across industries and user groups in India, 58-74% of the respondents said that AI is likely to aid cybersecurity and economic growth in the country. While 71% believe that AI will help humans solve complex problems and enhance their standard of living.
According to Deepak Garg, the Director of NVIDIA-Bennett Center of Research in Artificial Intelligence, there has been a considerable growth in the interest levels witnessed in the domain of AI among all industry sectors in India. A PwC report underlined that this growth can be most significantly seen in the IT/ITES industry. In the country’s IT industry, machine learning has subsequently emerged as the most popular AI-powered solution available. A balanced focus on multiple AI-powered solutions has been given in the overall technology sector of India. Therefore, this domain is right at the forefront of AI research and commercial deployments of the country.
Raju Shetty, head of Engineering, Razorpay, mentions that technologies like AI and ML are playing a crucial role in dealing with fraud cases in fintech startups like his. These technologies help his company, as well as, many others to interpret huge amounts of data within a limited period.
Many global players offering AI and ML services and resources have entered the Indian market over the years, including the Amazon Web Services [AWS]. Thousands of active clients now use the AWS Cloud across India for a magnitude of applications, including the Internet of Things (IoT), ML/AI, web hosting, and big data analytics. IT resources based on Machine Learning and Artificial Intelligence are especially popular among Indian businesses. Well-recognized Indian companies like Aditya Birla Group, Mahindra, and Aruba (HPE) also use AWS resources. AWS has emerged as an undisputed Public Cloud leader in the world by having a 47.8% share in the Cloud infrastructure market in the globe, as per a 2018 report by Gartner, Inc.
In comparison to other cloud platforms, AWS companies can avail the broadest and deepest set of tools that facilitate the creation of fast and impactful machine learning solutions. With AI services from AWS, on the other hand, people can add capabilities like virtual assistants, forecasting, local languages, as well as, image and video analysis to their applications. In the modern world, multiple tech products are deployed with the usage of AI and MI and influence on diverse sectors of the society, including finance travel, education, and health.
Scenarios of AWS ML AI Tools and Services Influencing the Indian Market
- Amazon’s Automatic Speech Recognition (ASR) platform, Amazon Transcribe, now supports transcription in Hindi, as well, as Indian-accented English in diverse regions where their service is available. Transcription support in Hindi and Indian-accented English significantly helps local organizations to enhance the accessibility and discoverability of their audio and video content, which is used for several cases. For example, call centers can now convert call recordings made in Hindi into text and subsequently analyze the data for actionable intelligence. With this system, diverse media houses of the nation can also automate subtitling workflows to facilitate superior accessibility and engagement.
- Amazon Transcribe ensures that the voice of the people not well-versed in English can also be heard. While it’s easy-to-read transcription facility can help subtitle Bollywood movies, its Channel Identification aspect can come as an excellent advantage for call centers. The prospects of Amazon Transcribe in the Indian market are incredibly bright at the moment.
- India’s first personal-assistant app known as Haptik uses AWS Polly to convert text to speech. This app earlier sent out reminders to the users as notifications, which were often missed by them. Through AWS Polly this app is now able to call up the users to alert them about the reminder that they’ve set on it.
- Amazon Rekognition’s API comes as a huge benefit for Indian security firms. This service enables them to identify and tag millions of faces accurately for surveillance, subsequently smoothing their operations and enhancing their productivity to a significant extent.
- Matrimonial websites are extremely popular in India. Services like the Amazon Rekognition can help these websites detect, analyze, and compare faces for an expansive variety of user verification, which is a part of their business process. The Indian start-up, Shaadi.com, is already using this system.
- Amazon SageMaker has especially gained a good amount of popularity in the Indian tech world and is commonly used by companies to promptly build, train, and deploy machine learning models at scale, as well as, to develop custom models with support for all important open-source frameworks.
AWS enables companies to enjoy ML-AI benefits, without having any prior knowledge and skills about these systems. It provides companies with the opportunity to innovate their business processes and keep iterating, without making any fixed IT investments.
Aakrit Vaish, CEO of Haptik Inc., underlines than in the next decade one can expect that the understanding of AI and its workings would become more commonplace among the majority of Indian technical industry executives. Sundara Ramalingam Nagalingam, Head of Deep Learning Practice at NVIDIA India, additionally stresses upon the fact that India has the necessary IT infrastructure, vibrant startup ecosystem, and qualified talent to optimally harness the power of AI. Hence, keeping all these factors in mind, the prospects of AI and ML in India indeed seems to be quite bright.