Athena Infonomics

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Athena Infonomics

Athena Infonomics

@a_infonomics

A data-driven global consultancy combining social science research methods & ICT tools to drive innovation in policy, process & program in intl development.

Washington, DC Katılım Mart 2012
688 Takip Edilen1.1K Takipçiler
Athena Infonomics
Athena Infonomics@a_infonomics·
It’s easy to talk about what AI can do. Harder to sit with what it actually changes. We’ve been doing a bit of both lately – and the answers can look very different on the ground. This edition pulls together a few of those moments: linkedin.com/pulse/what-wer…
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Athena Infonomics
Athena Infonomics@a_infonomics·
The conversation moved between use cases, access, and the very real question of where to begin... Scroll through for a glimpse of how the panel responded when things got more practical. Follow MAX for more such conversations in the coming weeks: linkedin.com/company/max-ms…
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Athena Infonomics
Athena Infonomics@a_infonomics·
The first @max_msmexai session on AI in Action for MSMEs stayed close to what’s actually happening on the shopfloor – where AI is already being used, what it takes to get started, and what tends to work (or not) in practice. #MSME #AIForImpact
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Athena Infonomics
Athena Infonomics@a_infonomics·
This initiative will: • share practical experiences of AI adoption in manufacturing • surface challenges and solutions from the shop floor • showcase real-world use cases • foster peer learning across the MSME ecosystem.
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Athena Infonomics
Athena Infonomics@a_infonomics·
As part of this effort, we are launching MAX – the MSME AI Exchange. MAX is a community of practice that brings together MSMEs, technology providers, industry experts, policymakers, and ecosystem partners. Follow us for more updates: linkedin.com/company/max-ms…
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Athena Infonomics
Athena Infonomics@a_infonomics·
But adoption doesn’t happen automatically. For MSMEs and organisations, the questions are still very practical: ▪️ What are the right AI use cases? ▪️ What will the return on investment look like? ▪️ What capabilities are needed to make it work? #AIforPublicGood #GovTech
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Athena Infonomics
Athena Infonomics@a_infonomics·
With a demographic dividend, one of the world’s largest talent pools, and growing industry leadership, the opportunity is clear. But turning AI from promise into real economic transformation will require strong partnerships between government and industry.
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Athena Infonomics
Athena Infonomics@a_infonomics·
India’s AI story won’t be written by technology alone. It will be shaped by industry, talent & the right public support systems. Shri S.C.L. Das, Secretary of @minmsme, reflects on why India could become the use-case capital of the global AI economy.
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Athena Infonomics
Athena Infonomics@a_infonomics·
...Of trust, support, and the quiet confidence one woman can help build in many others. We’re sharing a story from the field about how small acts of dedication can transform livelihoods and communities. A story worth sharing this Women’s Day: athenainfonomics.com/blog-posts/one…
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Athena Infonomics
Athena Infonomics@a_infonomics·
Sometimes the most powerful stories are the ones you don’t expect to find. During a field visit in Andhra Pradesh), Soumya (Sr. Consultant at @a_infonomics) met Divya, a young assistant at a local RSK. What seemed like a routine conversation soon unfolded into a deeper story...
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Athena Infonomics
Athena Infonomics@a_infonomics·
Watch the full conversation to hear Kavya unpack why scaling AI in agriculture requires rethinking how we design, test, and govern these systems: youtube.com/live/XOuO5KDaW…
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Athena Infonomics
Athena Infonomics@a_infonomics·
Agriculture is shaped by local context, diverse conditions, and deeply human decisions, which means technology cannot scale on technical success alone. What’s needed instead is trust, inclusive design, and data that reflects real farming conditions, not just pilot environments.
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Athena Infonomics
Athena Infonomics@a_infonomics·
We often celebrate AI pilots in agriculture as proof of progress. But scaling them is a very different challenge. In this conversation, Dr. Kavya Dashora reflects on a critical tension in the sector: the gap between controlled experiments & the messy realities of farming systems
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