Pune Wealth Management:High -life and thinness: the ambition and dilemma of India AI!

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Pune Wealth Management:High -life and thinness: the ambition and dilemma of India AI!

Hearts and Destiny: The ambition and embarrassment of India AI

At the moment when the AI ​​wave surges, India, as an oriental star, is trying to compete side by side with China and the United States in the field of artificial intelligence.According to Kantar's latest report, 724 million people in India have come into contact with artificial intelligence technology, although they have a wide range of applications and are not limited to large models similar to GPT.

The Indian government has shown a strong interest in the development of the development -based AI industry. In August last year, it approved an investment plan worth about 13.07 billion yuan to promote the development of artificial intelligence, network security and digital skills.This measure quickly catalyzed local innovationPune Wealth Management. In January this year, KRUTRIM, the first large -scale unicorn company in India, was born, with a valuation of 1 billion US dollars, and received $ 50 million in financing only one month after its establishment.

However, behind the prosperity of India's AI, complex reality is hidden.Compared with the number of AI companies in India, India is dwarfedJaipur Stock. The latter not only has heavyweight models launched by Baidu, Ali, Tencent and other giants, but also a crowd of startups such as the dark side of the moon and the wisdom spectrum AI. It is also on the self -developed model.Make significant achievements.On the other hand, India, there are only a handful of companies focusing on large models, and most of them focus on the application of dialogue AI and specific industries, not basic model research.As the representative of India's independent research and development of India, KRUTRIM AI also faces technical questioning and use restrictions, such as limited number of input characters and stability.

For the future of India's AI, some observers have foreseeable.In June last year, Sam Altman was asked if the Indian team invested by tens of millions of dollars to compete with OpenAi, and the opportunity was slim.This reflects the deep challenge of the development of India's AI.Lucknow Wealth Management

India, a country with a well -known IT outsourcing industry, is slow in progress in the AI ​​field.Theoretically, with rich programming talents and mastery of algorithms and data, India should be able to build a solid in the AI ​​field.However, the actual situation is not so simple.Just as the automotive power of the car may not be able to easily create a successful online car rental platform, the development of AI has also been restricted by many factors such as basic scientific research, infrastructure, market demand, and digital level.High -life and thinness: the ambition and dilemma of India AI.

India's shortage in AI basic scientific research talents is the root cause of long -term dependence on IT outsourcing business and infrastructure construction.Although the outsourcing business has brought short -term economic benefits, it has also led to the tendency of "re -application and light theory" of scientific research talents.In addition, the lack of infrastructure such as power and network hinders AI research that has strong hardware dependence.These issues jointly restrict the rapid development of India's AI, making many top talents choose overseas development.

In addition, the lower degree of digitalization in India has further limited the acquisition of data required by the AI ​​model training.A large number of Internet users are mainly active in the field of social and entertainment, rather than the production and production activities of high -quality and diversified data. This has led to the lack of necessary data support and application scenarios in the Indian AI industry.

In summary, the challenges of India in the AI ​​field reveal the deep national strength competition behind the technical competition, including the scientific research system, industrial structure and social digital level.In the face of the future, how to find a development path suitable for digital transformation will be an important issue that India must face.

High -life and thinness: the ambition and dilemma of India AI.

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Published on:2024-10-25,Unless otherwise specified, Financial management products | Bank loan calculationall articles are original.