Lalit Singh

Praxis Global Alliance was a part of the event at India Health Exhibition 2025, where we led a focused discussion on: “How India Can Take the Leap Towards Local Manufacturing in Medical Devices.” Moderated by Ayush Singh, Practice Member – Healthcare and Lifesciences, the panel brought together industry leaders to explore: • Policy and regulatory acceleration • Innovation as a lever for efficiency • Building agile, localized supply chains With India's med-tech sector at a strategic inflection point, the dialogue underscored actionable pathways to global competitiveness and self-reliance. #IndiaHealthConference2025 #HealthcareStrategy #MakeInIndia #MedTech Madhur Singhal | Shivam Bajaj

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Yesterday’s encounter that reminded me why protocols matter more than platforms. Had an inspiring conversation with Rajeesh Menon, whose work spans the entire digital infrastructure ecosystem that’s quietly revolutionizing how we think about systemic change. From EkStep Foundation to Beckn Open Collective, Rajeesh embodies something crucial: building systems that serve rather than surveil, that empower rather than extract. What excites me most is exploring how our community-driven approach (SAOcommons) to human capital indexing (WellbeingProtocol) could plug into this broader ecosystem of digital public / common goods. The goal? Value redistribution that’s signal-based and equitable rather than platform-captured. But this conversation also surfaced some critical questions I’m wrestling with: 1) “Emission” vs “Collection” of data 2) Deep Thinkers' Collective. 3) Anti-hive-mind design - How does TheInternetOfValue preserve individual agency while enabling collective intelligence? 4) “Weaponising” context ? If you’re working on systems that put livelihoods with dignity at the center, Rajeesh Menon is building something remarkable. Worth following his journey. Thanks for the active listening and questions, Rajeesh!

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Top takeaways from Karthik Chakkarapani, CIO at Zuora for founders selling to Enterprises 👇🏻 1. Startups founders must understand how enterprises actually work. Selling to large companies requires understanding their language and workflows, including things like performance management, compensation changes, and process complexity. 2. Enterprise adoption depends on ease of implementation, not just product speed. Startups often ship faster than enterprises can absorb. Karthik reminds founders that rollout, testing, and training take time and they must show how their product makes adoption easy. Founders pitching to enterprises must lead with the value, not the tech. Time-to-value is a major decision factor for enterprise buyers. 3. PLG is powerful, but post-sales success is what drives renewals. Product-led growth works best when a product solves a painful, persistent problem. But with more enterprise buyers signing short-term contracts, strong post-sales engagement is critical for retention. 4. The CIO role today is about business transformation, not just tech. The CIO’s job has shifted from managing systems to driving real business outcomes. Today’s CIO needs to be passionately curious, understand AI trends, and bring that insight back to the business to deliver tangible value. 5. We are moving towards a post-user-interface world. Karthik describes a future where people don’t click through software screens but simply give prompts to AI agents. From filing expenses to onboarding new employees, many workflows will be compressed into a single intelligent interaction. SaaS becomes the execution layer, while intelligence shifts to autonomous agents. 6. Bolt-on AI v/s Built-in AI. Established cloud companies often layer AI on top of existing systems, because ripping and rebuilding is hard. In contrast, newer AI-native startups are designing with AI embedded into every layer, not just the interface but also integrations, databases, and workflows. 7. Competitive advantage in AI is defined by end-to-end experience. The companies that will win in this new era are the ones that focus on experience,  for customers and employees alike. Personalization, configurability, and ease of use are now just as important as core features. 8. Success is measured by value created, not logins or usage. The number of users is not the right metric to evaluate any tool. What matters is whether people are able to get things done faster, better, and more efficiently. It's about the shift in how work happens and the use cases the tool enables. 9. AI productivity hack to build a library of prompts. Karthik stores his favorite ChatGPT prompts in Google Drive, organized by use case. His advice is to not rely on memory, instead create a personal prompt library to save time and think better. Check out the full episode on our Youtube channel.

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Over the last few months, we've been looking deeply into data on India's manufacturing workforce. We looked at the datasets that measure manufacturing employment (https://lnkd.in/gA8bncQt), at factory employment (https://lnkd.in/gJu4Uq38), unorganised manufacturing (https://lnkd.in/gKaY3tBh) and women in manufacturing (https://lnkd.in/g3uAPbah). But one data point caught our attention - tailors. One in six Indians working in manufacturing, and one in three women in the manufacturing workforce, is a 'custom tailor'. Of the 14 million new manufacturing jobs added between 2018 and 2024, five million were in custom tailoring alone. For this piece for Data For India, Nileena Suresh looked more closely at who India's custom tailors really are. She found that most are women, self-employed and work from home. Many do this work alongside household chores. Wages are low. Alongside this examination of custom tailoring work, she also looked at the evolution of this category in Indian data - there's been much debate about whether this is a manufacturing job at all. (If it weren't counted as manufacturing, manufacturing job growth in India would look very different.) Read our work on custom tailoring here: https://lnkd.in/gtCW49uw

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Google is building its largest data center outside the United States — right here in Vizag, India. A $15-billion AI hub that promises to transform India’s digital future. But behind the shiny promise lies a serious question: What is the cost of this AI dream in terms of real-world resources? The intersection of AI and climate is a complex topic, no doubt. We have tried to unpack some parts of it in a video that looks at the environmental impact of this data center on the Vizag landscape and it's people. https://lnkd.in/g8aTXfJg

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Leadership lessons for an AI First, Always-On World! In Episode 6 of The Ravi Padaki Nexus Podcast, I had the privilege of speaking with Shivi Mithal, Vice President and Country Manager, Mimecast India.. Shivi is a seasoned product leader with deep experience in building and running Global Capability Centers (GCC) at scale, especially in the high-stakes world of technology and cybersecurity. What struck me was how grounded his perspective on leadership is — especially for those of us navigating the evolving role of GCCs today. A few reflections from our conversation that I believe every leader will resonate with: 1. Leadership in GCCs starts with dedication to a clear cause, not just delivery metrics 2. The most impactful GCCs are built on mentorship, continuous learning, and collaboration, not silos 3. Understanding local regulations, culture, and context is critical as GCCs take on more strategic ownership 4. AI can dramatically amplify capability — but human judgment remains essential, particularly in high-risk and mission-critical environments 5. Gen Z talent isn’t looking for just jobs; they’re looking for meaning, growth, and leaders who are approachable 6.Sustainable leadership also means being intentional about stress, energy, and financial well-being As GCCs evolve from execution engines to strategic innovation hubs, the leadership bar is rising. This conversation was a timely reminder that the future of GCC leadership sits at the intersection of AI, trust, people, and purpose. If you’re leading a GCC — or shaping what it becomes over the next decade — this episode will resonate. #GCCLeadership #GlobalCapabilityCenters #AILeadership #FutureOfWork #LeadershipInTech #GenZAtWork #TheRaviPadakiNexus https://lnkd.in/g7egq6n8

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