Risks & Future Potential in AI

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In a recent interview with Tech Emergence, Co-founder of XLPAT Labs and member of India’s AI Task Force Komal Sharma Talwar shared her insights on the current scenario of AI in India.

Ponting out the issues faced in terms of receiving funding for initiating AI pilot projects, she seems to indicate that the current Indian AI and startup funding ecosystem is not mature enough to be comparable to the US or even China.

“The problem that we have faced I think is funding in areas where our field is very niche. In India, IP is developing lots of interest, but we’re nowhere near the US or other countries.”

Komal was far from alone in lamenting AI’s lack of VC funding. Backing up her statement, she further added:

“I think the government has realized that we need to have a formal policy in place so that there’s a mission statement from them as to how AI should evolve in the country so it’s beneficial at large for the country.”

Moving forward, she suggested how the Indian government’s future strategy around AI might be focused on:

“We think AI could have a great impact in the health sector. There is a scarcity for good doctors and nurses, with AI the machine can do the first round of diagnostics. Staff can carry machines with them to help cut down on the physical presence needed for doctors.

The government is really encouraging startups to have AI applications that really have a social impact (AI in health, AI in education, etc), where startups compete to solve social problems.”

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XLPAT is an online cloud-based system/platform that collaboratively enables users to manage, order and search prior art for patents using the latest Artificial Intelligence Technologies, Automation, Clustering etc.. It offers completely automated patent tools that perform first pass prior art searches within minutes, generate claim charts and also print the reports easily; you can also share results with your colleagues.

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