These responses make sense but are short -sighted. Aye There is not only one product or equipment. It is a competent layer, a lot of electricity, internet or aviation, which can allow and give power to every aspect of life.
Electricity provides a useful parallel. In the 19th century, Edison and Tesla fought bitterly on the future of the present, in which Edison supported the direct current (DC) and Tesla Championing optional current (AC).
Edison went so far to electrote animals to discredit AC. But general knowledge and scalability became strong, and AC became standard. Today, no one argues about what the current powers of their device are. We just expect to do this work.
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AI is taking a similar way. For most people, they have been introduced to AI through conversion equipment Puffy Or a voice like Siri. But this is only the tip of the iceberg. The real power of AI lies in systemic changes.
Last year, AI won a Nobel Prize in Chemistry! This protein structure was honored from Google Deepmind to Demis Hasbis and John Jumper, a puzzle humanity has been trying to solve humanity for more than five decades.
It was made possible through AI called Alphafold2. This is a kind of systemic AI change that we need, and fortunately, in Roads are being made there.
Take an Indian startup Neeramai, a female-enemy, who is bringing a revolution in the screening of breast cancer with non-invasive, radiation-free AI diagnostics. Or WYSA, a mental health startup using AI to provide affordable cognitive behavior to more than 6 million users in 60 countries.
Or tapestry, incubation on Google X, which improves visibility and reduce the complexity is making the electric grid more flexible.
These are not vanity projects. They are mission-operated innovations designed to solve really mean problems. But to scale the effect of AI, we need systemic thinking.
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Systematic changes require systemic thinking: Some of India’s main challenges such as air pollution, water scarcity, fragmented supply chain and rural health intervals are not ‘market opportunities’ in traditional sense.
They cannot be solved by creating a pretier app or running a sleek marketing campaign. These issues demand long-term thinking, policy alignment, patient capital and public-private participation.
AI can bring transformational changes, and fortunately, help is in hand. First of all, let’s look at the state-proposed initiatives. Indiaai Mission is a coordinated effort to run basic abilities in the ecosystem.
More than 10,000 graphics processing units (GPU) are being deployed through public-private partnership, leading to startups and researchers access to mass computing power.
Indigenous AI models such as Bharatgen focus on developing reference-specific datasets and models in areas like agriculture, healthcare and areas like agriculture, healthcare and fields urban Plan. In addition, exemplary work is being done in developing skill-making programs such as India Dataset and Yawai.
While the public sector core is helping with infrastructure and favorable policies, global investors, family offices and educationists are investing in AI Startups.
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The incubation centers are also supporting hundreds of early stages deepest technology undertakings.
He said, the startup in this space does not require funding or pathway from campus lab to capital markets. They need structures. How do you design AI for the scale? How do you make sure that security is inherent and not bolts later?
How do you unlock the price keeping the cost in reality? How does this linguistic minorities treat? Who is left, which is counted and who is privileged? These are not coding problems; They are facing system design challenges.
Across the board, large technology companies and innovation hubs are taking steps to help founders in their AI trip. This is the place where horizontal mentorship from technologists, product leaders and moralists becomes a force multiplier.
For me, the top-of-mind recall is Google for Startups, which I have advised for more than a decade. The accelerator has nurtured 17 corkets, which helps increase 237 startups over 4.5 billion and produce 8,500 jobs.
Today, the focus is much faster than ever, helping AI-first startups to solve real problems through access to tools, mentorship, cloud infrastructure and most important, guided thinking.
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Go for the right type of AI development: India does not require a purely built AI ecosystem on demonetisation and propagation. It needs to be made on flexibility, inclusion and public good. This means that investing in those who already solve difficult problems, often quietly and resourceful.
This means to transfer our story from fear to responsibility, from silent innovation to systemic cooperation.
We are not only users of AI. We are and should be-its co-producer. If we get this right, India will not just speed up the global AI race. It will set benchmark for responsible, justified and high-affected A-LED development.
The author is CEO of Agrahyah Technologies and assistant professors of digital changes in IIM Trichy,