Latest In Indian AI
India is making significant strides in its artificial intelligence (AI) ecosystem, driven by government initiatives, private sector innovation, and a focus on addressing local needs.
1. Reliance Partners with OpenAI and Meta for AI Expansion
Reliance Industries, led by Mukesh Ambani, is in talks with OpenAI and Meta to bring advanced AI solutions to India. This collaboration could lead to affordable ChatGPT subscriptions, localized AI model hosting, and a massive 3-gigawatt data center. Such a partnership could significantly boost India’s AI ecosystem, making cutting-edge technology accessible to businesses, startups, and individuals while creating jobs and enhancing digital infrastructure.
2. IndiaAI Mission’s Push for Indigenous AI Models
The IndiaAI Mission has launched initiatives to develop homegrown foundational AI models, including large language models (LLMs) and smaller language models (SLMs), tailored to India’s diverse linguistic and cultural context. By addressing India-specific challenges in sectors like healthcare, agriculture, and education, this effort aims to reduce reliance on foreign tech and empower local innovation.
3. Tamil Nadu AI Labs with Google
Tamil Nadu has partnered with Google to establish ‘Tamil Nadu AI Labs’ in Chennai. This initiative targets skilling 2 million people in AI, fostering startups, and attracting investments worth approximately ₹900 crore (about $107 million USD), potentially creating 4,000 jobs. This could serve as a model for other states, enhancing India’s AI talent pool and economic growth.
4. AIKosh: Crowdsourcing India-Specific Datasets
The IndiaAI Mission is encouraging contributions to AIKosh, a platform for sharing anonymized, non-personal datasets unique to India. This could accelerate the development of AI solutions relevant to Indian needs, from regional language processing to sector-specific applications, benefiting researchers, startups, and industries.
5. Parliamentary AI Translation Project
An MoU between the Lok Sabha Secretariat and the IndiaAI Mission aims to create a linguistic dataset repository for translating parliamentary debates into multiple Indian languages using AI. This initiative could improve accessibility for non-English speakers, empower researchers and policymakers, and set a precedent for AI-driven governance solutions across India.
These developments highlight India’s growing focus on leveraging AI for economic, social, and technological advancement. From building local AI capabilities to forging global partnerships, these efforts could position India as a key player in the AI landscape while addressing its unique challenges and opportunities.



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For the successful career in Artificial Intelligence, you may need various skill sets from Math, Science & Computer Science to the Algorithm & software development, harware understanding, Machine learning, Deep Learning, NLP and few others. Check the details below.
Machine Learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Deep Learning
Deep learning is a subset of machine learning in AI that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network.
NLP
Natural Language Processing, usually shortened as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language.
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Top Indian AI Researchers
India has second most number of AI experts in the world after the USA. Few are top experts are listed below.

Sankar Kumar Pal
Distinguished Scientist and Former Director
INSA Distinguished Professor Chair – Indian Statistical Institute

Krothapalli Sreenivasa Rao
Ph.D.(IIT, Madras)
Associate Professor, Information Technology
Associate Professor, Computer Science & Engineering
Chairman, GATE-JAM

Prof. Bidyut Baran Chaudhari
Professor & Ex-Head
Computer Vision & Pattern Recognition Unit
Indian Statistical Institute

Dr. Pushpak Bhattacharyya
Director at Indian Institute of Technology, Patna and Chair Professor of Computer Science and Engineering IIT Bombay

Dr. Sriparna Saha
Associate Professor at Department of Computer Science and Engineering, Indian Institute of Technology, Patna

Sunita Sarawagi
Institute Chair Professor
Computer Science and Engineering
IIT Bombay

Anush Sankaran
Senior Research Scientist at Deeplite, Inc.

Balaraman Ravindran
Professor at Indian Institute of Technology Madras
Few Indian AI Growth Predictions
Don’t take our word for it – here’s what experts say:
AI has the possibility to add $957 billion or 15% of the present gross value – to the Indian economy by 2035. India is the 13th most advanced country the world in terms of the development of artificial intelligence technologies.There are more than 200 AI-based startups in India that are helping different sectors.

Accenture plc
https://www.accenture.com
India could become the hub for data cleaning around the world. The IT services industry could easily transition into human-trainers of AI, a need that already exists (as evidenced by Figure Eight, Clickworker, Gengo.ai, and other players in the human-assisted AI training market

Emerj.com
https://emerj.com
India is the third largest startup ecosystem in the world, with three to four startups being born here daily. We believe India has a major advantage over other countries in terms of talent, a vibrant startup ecosystem, strong IT services and an offshoring industry to harness the power of AI.”

NexTrendsAsia.org
https://nextrendsasia org