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Healthcare
Diagnostics, care pathways, and clinical AI.
25th November, 2026 · Chandigarh
India’s most unique AI conference — government, business owners, entrepreneurs, and students collaborating across sectors, in one room.
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Chandigarh, India
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The organisations
Labs, startups, and global teams sending people to present at AiXCon — meet them next.
The people presenting from them
Industries
Bringing together minds from different fields to turn AI innovation into real impact.

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Diagnostics, care pathways, and clinical AI.

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Learning systems that scale with every student.

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Research, contracts, and compliance at speed.

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Risk, fraud, and intelligent decisioning.

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Operations, automation, and enterprise-scale AI.
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AI companies
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Speakers
The day
Innovation, intelligence and opportunity in one focused AI experience.
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Understand next-generation artificial intelligence systems and real-world AI applications from industry experts.
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Discover upcoming technologies, smart tools and futuristic digital solutions.
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Network with founders, developers and AI professionals to grow your career and opportunities.
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Experience live AI demos, product showcases and real-time experiments.
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Meet emerging AI startups and explore business ideas with high future potential.
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Gain end-to-end understanding of AI across healthcare, finance, education, startups, and enterprise.

Host city
Punjab is rapidly transforming into a technology powerhouse — with fast AI adoption, government-backed digital initiatives, and a youth-driven startup culture.
AI market growth
India's AI ecosystem is expanding at 25–35% CAGR and is projected to cross $17 billion by 2027.
Tech adoption
Mohali, Ludhiana and Chandigarh have seen exponential growth in startups, IT infrastructure and AI solutions.
Young workforce
A high concentration of young professionals in engineering, IT and AI programs — a future-ready talent base.
Special emphasis
AiXCon 2026 puts a dedicated focus on how AI can strengthen digital health records, screening, and access to care — so health data serves the public, not only the institution.
How AI can help health records stay complete, usable, and with the patient — across clinics, not locked in one hospital system.
Screening and risk-flagging that surface problems sooner, including vascular and limb-threatening conditions that are still missed too late.
Using digital tools so follow-up, public programmes, and frontline care actually reach citizens — not only those already inside large hospitals.



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