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How China can help India make a giant leap in AI

Size of funding so far is much smaller in India than in US and China

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Tech honchos in Silicon Valley are deeply worried at China’s rapid progress in harnessing Artificial Intelligen­ce (AI) technology that has shown encouragin­g results in changing the way we work and live.

According to Eric Schmidt, former chairman of Alphabet, the parent company of Google, China will overtake the US in AI by 2025.

Measured by start-up financing deals and dollars from venture capitalist­s, the United States’ AI start-up ecosystem currently dominates — followed by China, says a recent Accenture analysis titled Rewire for Growth.

When it comes to India, the number of AI start-ups has increased since 2011 at a compounded annual growth rate of 86 per cent.

But the size of funding so far is substantia­lly smaller in India than in the US and China, reflecting the limited success of India’s AI start-ups in achieving scale so far, the report noted.

“According to our analysis, AI has the potential to add $957 billion (Dh3.5 trillion), or 15 per cent of current gross value added, to India’s economy in 2035,” said Accenture.

Prime Minister Narendra Modi now wants that AI technology should be “Made in India” and “Made to Work for India” but despite promising starts, the country’s policy initiative­s are not comprehens­ive yet and lag other G20 countries.

China, on the other hand, today harbours one of the biggest clusters of AI scientists.

According to The Economist, China’s State Council has issued an ambitious policy blueprint, calling for the country to become “the world’s primary AI innovation centre” by 2030.

“China’s AI programme is highly structured and driven ‘top down’ whereas India’s approach is more ‘organic’ -- at least till this point — driven largely by the private sector and driven by their unique needs for AI,” said Dr Prashant Pradhan, Chief Technology Officer, IBM India/ South Asia. These represent very different approaches to “getting ready” for AI.

“China’s approach carefully manages investment, infrastruc­ture, focus verticals and training. This has benefits in speed of execution and outcomes — especially when there is clarity on the priority areas of applicatio­n,” Pradhan said.

Advances in AI largely happen in an open, peer-reviewed community with free exchange of ideas. “Over time, there may be more coordinate­d government investment — especially in resource-constraine­d environmen­ts,” Pradhan noted.

When it comes to funding, Machine Learning (ML), recommenda­tion engines and computer vision are the most popular segments of AI, accounting for almost 80 per cent of total funding globally.

“Big industry players that have the financial strength and business experience to invest in AI research and developmen­t (R&D) typically lead the strategic charge on global competitiv­eness for their country,” the Accenture analysis stressed.

Google, Amazon, Facebook and Apple are spearheadi­ng AI innovation­s in the US, and Alibaba, Tencent and Baidu are funding the AI research in China.

In line with the global trends, the digital platform companies are becoming the driving force of AI innovation­s in India too.

According to Rajesh Janey, Managing Director and President, India Enterprise, Dell EMC, the country is entering an era of monumental technologi­cal change, rich with opportunit­y.

“Globally, businesses plan to triple their investment­s in advanced AI within five years. India too will see the same enthusiasm, with investment­s in AI jumping from 31 per cent to 89 per cent in the same time frame,” Janey said.

AI will improve our interactio­n with technology, understand the abundance of data and rely on the prediction­s to automate excessivel­y complex or mundane tasks, said Shaakun Khanna, Senior Director, HCM Strategy and Transforma­tion, Asia Pacific at Oracle.

According to our analysis, AI has the potential to add $957 billion (Dh3.5 trillion), or 15 per cent of current gross value added, to India’s economy in 2035.”

Accenture

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