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понедельник, 4 сентября 2023 г.

India’s AI Moment is (Not) Here

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To make this happen, India needs massive AI investments – faster – particularly from private tech giants like Amazon, Google, IBM, Microsoft, Apple, Meta etc., alongside Indian conglomerates such as Reliance Industries, Adani, TATA, and Indian IT firms like TCS, Infosys, Wipro, Tech Mahindra, and others.


Of course, government support is equally important in opening up the market fairly and responsibly for everyone – ‘if the country were to lead the global AI race’ – an emotion amplified at the recent B20 Summit India 2023.

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In June, Google announced that it will be investing $10 billion in India’s digitisation fund, besides opening a global fintech operation centre in Gujarat. Amazon, on the other hand, said that it plans to invest an additional $15 billion in India, taking its total investment in the country to $26 billion, alongside investing an additional $12.7 billion in the cloud infrastructure in India by 2030. 


Recently, IBM announced that it will continue to invest more in India as the country looks at becoming a trillion-dollar digital economy by 2026, and is bullish on the innovations coming out from its R&D in India. IBM chief Arvind Krishna said that AI adoption is steadily on the rise globally, and India is well positioned to lead the revolution and establish itself as an AI innovation garage of the world. Read: IBM Should Help India in its AI Mission


Microsoft seems to be focusing on setting up more data centres in the country, alongside its sizable investments in AI startups. In May, the tech giant invested an undisclosed amount in Builder.ai to democratise software development. While these investments are a necessary step, they are yet to make a significant contribution to making India an AI hub – going beyond the application side of things and helping improve the lives of Indians


Besides expanding its presence in India with official stores and manufacturing units, Apple has also not made any significant monetary commitment either, particularly in the AI context. Only last month, the company quietly announced that it has started investing $22 billion in R&D to boost generative AI efforts. 


Meanwhile, Meta has also not committed anything significant monetarily to bolster India’s AI landscape so far, besides its recent partnership with India AI


This is all a great start, but India needs much more than this to compete in the global AI race and has to be faster to make things happen, and not miss the bus like we did with the semiconductor manufacturing.


There still is a glimmer of hope here. As the conversation around building AI in India is finally taking shape, it’s time to take stock of our standing in a world engaged in a blind race of technological advancements. When OpenAI CEO Sam Altman visited India, he said that no one would be able to replicate what OpenAI has done with ChatGPT. To this, Tech Mahindra CEO CP Gurnani had famously said, “Challenge accepted”. In just about two months, the company launched Project Indus, an indigenous LLM that could speak in many Indic languages. 


Most recently, at Reliance’s 46th Annual General Meeting, Mukesh Ambani announced his plans to build India-specific AI models. The Jio chief is probably one of those bigwigs from India who can actually challenge the OpenAIs and Google DeepMinds of the world. “India has scale. India has data. India has talent. But we also need AI-ready digital infrastructure that can handle AI’s immense computational demands,” said Ambani.


Through Jio, Ambani was able to give broadband connectivity to everyone delivering on the promise he had made. Can he do that with AI now? India is waiting and watching.


Read: India Catapults the AI Mission

     

Top Stories of the Week >>

     

Social Media is Dying


Adam Mosseri, the head of Instagram admitted that, “If you look at how teens spend their time on Instagram, [you’ll notice that] they spend more time in DMs than on stories, and they spend more time in stories than they do in feed.” Not many people are actually posting anything anymore, and rather use the platform to send direct messages and talk in group chats.


This is mostly because instead of a “timeline”, users are bombarded with a “feed”, which is just an algorithm trying to push posts filled with companies trying to promote their products or creators filling up the space with self-promoting content. Engagement is all that matters. But was engagement ever really the point of getting on social media for the users? Learn more here. 



OpenAI Teaching Teachers How to Teach


When students were finding different ways around ChatGPT and other GPT applications to assist them with school or college work, and even self-learn a thing or two, the question of ‘who needs teachers when you have AI’ arose. To appease the educators who felt left out, OpenAI announced a new guide for teachers to use ChatGPT in classrooms. The announcement came within days of releasing ChatGPT Enterprise


With all these recent developments, is OpenAI fine-tuning use cases for mass adoption amid the decline in its users? Read to find out. 



Will Banks Embrace GPTNEXT Over ChatGPT Enterprise? 


While OpenAI recently unveiled ChatGPT Enterprise, raising anxiety levels of SaaS players, AIM got in touch with BUSINESSNEXT, a hyper SaaS and composable enterprise platform that focuses on banks and financial services, globally. Interestingly, the company is working on a B2B thin wrapper platform called GPTNEXT for banks globally. Will it survive the ChatGPT Enterprise prowess? 


Read to find out more about GPTNEXT here

     

Best Firm for Data Scientists >>

     

[Best Firms for Data Scientists is one of India's biggest workplace certification platforms in data science. To nominate your organisation for the certification, you can fill out the form here .

     

AIM VIDEOS >>

     

In the latest episode of Simulated Reality, AIM chief Bhasker Gupta dives deep into the world of pharmaceutical data analytics with Arvind Balasundaram, the mastermind behind Regeneron Pharma's commercial insights. A must-watch for anyone curious about the intersection of data and healthcare.

     

AIM Shots >>

     

  • Genpact has launched an innovative 12-week immersive learning program aimed at fostering the growth of the GenAI developer community. Learn more about the programme here

  • Industry.AI, a member of the NVIDIA Metropolis vision AI partner ecosystem, has deployed its vision AI platform across Bengaluru’s recently built terminal, T2, also known as the Garden Terminal. Check out the details of the project here


  • In a move that promises to redefine the way we discover and enjoy food, Zomato has unveiled its latest innovation, Zomato AI. 

  • In the latest attempt to help with the global climate crisis, Google in collaboration with ECMWF has announced WeatherBench 2 (WB2), a benchmark for data-driven, global weather models.

  • Meta launched DINOv2, its computer vision model trained through self-supervised learning to produce universal features. 


  • Google also launched a beta version of SynthID, a tool for watermarking and identifying AI-generated images.

     
   

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