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New Delhi: India AI startup Anthropic has brought on board Irina Ghose as its Managing Director in India in a move to enhance its presence in the country. The move comes at a time when India has become the second biggest market in the world in terms of its use of AI products offered by Anthropic as more enterprises and institutions relish its products.
The company assured that it would officially open its India headquarters in Bengaluru in February. Anthropic plans to grow locally and increase collaboration in industries like healthcare, education, startups, major conglomerates and develop AI tools that can be used by Indian users.
Ghose has an experience of over 30 years in the field of technology. Her last role was the Managing Director of Microsoft India, under which she headed enterprise AI implementation in BFSI, manufacturing, healthcare, technology services, and government. Throughout her career she has been a leader in sales, enterprise solution, education and go-to-market strategy.
Ghose said that Indian organisations are not ceasing experimentation, but switching to applied AI, and trust, safety and long-term impact are as important as innovation. She said the responsible AI at Anthropic also resonates with her view that technology can make a permanent value in the diverse languages and communities in India.
Anthropic executives indicate that now India is second in the world in terms of usage of Claude.ai, almost half of which is associated with work. Enterprises that are shifting AI to pilots to real-world applications are experiencing high demand by senior leaders.
Dario Amodei, the founder and CEO, is set to travel to India in February, and other top managers, to visit the India AI Impact Summit hosted by the government. It will be part of the official opening of the India office of Anthropic, which will underscore the fact that the country is becoming increasingly significant in the global strategy of the company.
India is the core of the future of AI, which Amodei has previously explained by referring to the necessity to implement models in various languages and contexts and construct powerful structures of responsible governance.
