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NASSCOM Technology Confluence 2025: Where Intelligence Met Imagination

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TL;DR:

NTC 2025 in Bengaluru showcased how AI has moved from concept to capability, with every session, demo, and conversation focused on solving smaller, high-impact problems at scale. From state readiness and industry transformation to trust, learning, and human-centered innovation, the event reflected India’s accelerating journey toward an intelligent economy. For us at Azilen, the experience reinforced a shared belief, the next wave of enterprise AI will be defined by systems that combine precision engineering, contextual intelligence, and responsible scale.

Robot Co Host at NASSCOM 2025

When an AI robot shares the stage as a co-host, you know things are getting serious!

That was the opening scene at NTC 2025, Bengaluru, and it perfectly captured the mood of the day – curiosity meeting capability.

This year’s conference felt like a convergence point. Technology leaders, product builders, policymakers, and enterprise architects all gathered under one roof to discuss how India is shaping the next wave of AI-led transformation.

The hall was buzzing with innovation – not because of the hype, but because of the depth of what’s actually happening on the ground.

For us at Azilen, attending NTC 2025 was about exploration, observing how industries are applying intelligence in context, and understanding where the next decade of digital engineering is heading.

And across every booth, panel, and conversation, two words echoed like a shared heartbeat: Artificial Intelligence.

The New Market Pulse: Small Problems, Big Impact

One theme dominated the entire conference:

AI isn’t about solving one big challenge; it’s about solving many small, precise ones at scale.

Every company we interacted with was focusing on optimization, such as tightening a supply chain loop, predicting a customer’s next action, improving quality in production, or automating unglamorous but essential back-office tasks.

In that sense, AI maturity is starting to look more like operational craftsmanship than headline innovation.

We saw companies discussing:

Retail personalization models that respond to customer sentiment in real-time.

Industrial twins that analyze vibration patterns and energy consumption for predictive maintenance.

AI copilots embedded into development workflows to boost engineering throughput.

The collective insight was simple yet powerful: when small innovations compound across an organization, the scale becomes exponential.

Setting the Stage: Readiness and Responsibility

The day began with the Welcome Address by Bhaskar Kumar Verma, setting the tone for a day rooted in purpose and progress.

The following session, State Readiness for an Era of Intelligent Progress, by Shri Priyank Kharge, was a strong reminder of how Karnataka continues to anchor India’s technology ecosystem.

He spoke about creating an innovation-led policy environment that supports experimentation, a critical factor as enterprises and startups move toward AI-driven growth models.

The message was clear: readiness is not only about infrastructure or investment; it’s about the agility to translate opportunity into scalable outcomes.

It was a timely conversation, especially as India positions itself as a global AI hub by 2047!

Fireside Vision: India @2047

In her session, Sindhu Gangadharan, MD of SAP Labs India and Chairperson of NASSCOM, shared a compelling view of India’s technology decade.

The focus wasn’t on technology in isolation but on its intersection with inclusion, sustainability, and entrepreneurship.

Her vision for India @2047 painted a confident picture, an economy driven by intelligent automation, ethical AI adoption, and a workforce that blends human creativity with machine precision.

Listening to her reminded us why engineering ecosystems like Bengaluru are unique: they are not only building products but also building the mindset that defines how innovation scales responsibly.

From Friction to Fuel: The New Innovation Mindset

The panel moderated by Anurag Sinha (Wissen Technology), featuring leaders from 7-Eleven, Swiss Re, and Ather Energy, captured one of the most important truths in product engineering – innovation grows out of constraints.

Each leader shared practical stories about moments where operational friction led to unexpected breakthroughs.

Amit Kalra from Swiss Re spoke about transforming compliance-heavy environments into data-driven, adaptive systems. Malahar Pinnelli of 7-Eleven explained how they’re using predictive analytics to manage store operations in a world that never sleeps.

The session made one thing evident: modern enterprises no longer see friction as failure, but they treat it as a feedback mechanism for innovation.

That perspective deeply resonates with how we build at Azilen – observing patterns, building context-aware AI systems, and scaling what works.

Mobility Reimagined: AtherStack and the Connected Road

Ather Energy’s session on AtherStack was another highlight.

Milind Kothekar and Anupam Sharma walked through how Ather’s digital platform powers everything from battery management to predictive service analytics.

What stood out was the integration of AI, IoT, and cloud-native systems to create a living mobility ecosystem. Each scooter on the road becomes a data point contributing to product evolution. It’s a perfect showcase of how real-time data pipelines can enhance user experience while improving reliability.

The takeaway? Future-ready engineering doesn’t only connect systems, it connects outcomes.

Beyond Tech: The Human Edge of Disruption

The mid-day sessions turned the spotlight toward the people dimension of innovation.

Ganesh Kalyanaraman (Version 1) and Soumitra Saha (Lumen India) emphasized that disruption thrives on collaboration, not competition. The talk titled Innovation ≠ Only Tech reframed what drives real transformation: clarity of purpose, adaptability, and shared learning.

This led perfectly into the session on Services-Software Model: Disrupt to Thrive, where leaders from Merck IT, Infosys BPM, and Version 1 shared how service organizations are moving toward productized thinking.

For Azilen, this aligns with how we see the enterprise AI ecosystem evolving: service + product fusion creating sustainable innovation cycles.

Emerging Tech: Signal Over Noise

The pre-lunch discussion, When Emerging Tech Meets Real Impact, hosted by Ranjita Ghosh (Wipro) and Kathiravan Selvam (Baker Hughes), helped separate trends from traction.

Quantum computing, generative AI, cybersecurity, and edge computing, all were discussed through a lens of business viability.

What impressed us was how many leaders emphasized trust, ethics, and transparency as differentiators.

That sentiment echoed through multiple interactions across the event floor.

Engineering Care and Capability

The post-lunch session by InnAccel stood out for its heart.

Founders Vijayarajan A and Siraj Dhanani shared how their MedTech engineering innovations are designed to reach everyone, from urban hospitals to rural clinics.

The message was simple yet profound: Engineering care should scale like software.

It was followed by NTT DATA and IBM Consulting’s session on the future of learning, where Ravi Kumar, Vinay Kumar, and Vinod Pillai discussed how upskilling ecosystems are shifting from classroom learning to experiential intelligence.

That aligns strongly with what enterprises are realizing that sustainable transformation depends as much on talent as it does on technology.

Bridging Trust and Technology

Later in the day, Shri Seemant Kumar Singh (IPS) and Deepa Nagraj (Mphasis) led a fireside chat on From Intuition to Intelligence: Bridging Technology, Trust, and Transparency.

Hearing a police commissioner talk about AI-driven governance, surveillance ethics, and citizen privacy offered a grounded perspective – how AI must evolve with integrity.

For enterprise builders, this was a powerful reminder: the success of intelligent systems depends on the trust they inspire.

A Cosmic Finale: ISRO’s Space Odyssey

The final session, An Interaction with Indian Astronaut Designate Group Captain Angad Pratap, brought the room to complete silence, followed by applause that seemed to stretch on.

He spoke about India’s preparation for human spaceflight, collaboration within ISRO, and how innovation is a chain reaction, from material science to machine learning.

It was a perfect metaphor for the entire day: precision, discipline, and ambition working in sync.

Our Reflections: Building the Future We Witnessed

Leaving NTC 2025, one thought stayed with us: AI maturity is a journey of discipline, not discovery.

At Azilen, this resonates deeply.

Our engineering teams are focused on building agentic AI systems, RAG-based enterprise intelligence, and GenAI-driven automation that work within an organization’s ecosystem – responsibly, contextually, and at scale.

What we witnessed at NTC 2025 validates that direction.

The future of enterprise technology will be built by teams who can align intelligence with intent, where systems understand, adapt, and act autonomously within trusted boundaries.

Closing Thought: The Intelligence Era Begins

NTC 2025 was more than a technology conference; it was a snapshot of India’s ambition in motion.

From government initiatives to deep-tech entrepreneurship, from AI ethics to experiential learning, every session added a new perspective on how intelligence can serve people, business, and the planet.

As we look ahead, one thing feels certain: the intelligence era has begun, and it is being shaped by builders who think systemically and act purposefully.

For us at Azilen, being part of this movement isn’t just exciting, it’s personal.

Because every day we engineer systems that make intelligence actionable.

And as we saw at NTC 2025, the world is ready to do the same.

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Top FAQs on NTC 2025

1. What was NTC 2025 all about this year?

It was all about real-world AI in action. Instead of future predictions, everyone focused on how AI is solving practical business problems today, in manufacturing, retail, healthcare, mobility, and governance. The vibe was very hands-on: how to apply AI where it matters, not just talk about it.

2. Why was AI such a big theme across every session?

Because AI has moved from curiosity to capability. You could feel that shift everywhere. Every speaker, from policymakers to CTOs, talked about embedding intelligence into everyday systems, data pipelines, decision models, supply chains, and customer experiences. It wasn’t hype; it was adoption in motion.

3. How was the energy and experience at the event?

In one word, charged. The moment the AI robot co-host started interacting, you could sense this wasn’t a typical tech event. The crowd was a mix of startups, enterprise leaders, and government delegates. Conversations happened everywhere, in sessions, coffee breaks, and even in the registration line. It felt like a community that genuinely wants to build, not just showcase.

4. Which session stood out the most for you?

That’s a tough one, but the AtherStack session grabbed everyone’s attention. Seeing how connected mobility is evolving with real-time data and AI-driven decisioning was fascinating. The other one was the ISRO astronaut session, which reminded everyone what disciplined innovation looks like.

5. What kind of companies or innovations did you see there?

Mostly product-first and AI-driven. A lot of companies were showing how they’re automating specific parts of operations, like predictive analytics for maintenance, AI copilots for developers, or personalized retail experiences. What impressed us was the shift toward small, outcome-focused innovation rather than grand-scale disruption.

6. How does attending NTC 2025 help teams like Azilen?

It helps us stay tuned to market direction. When you listen to leaders from Ather, Wipro, IBM, or Infosys, you understand where enterprises are investing, what challenges they face, and how they’re applying intelligence in context. That perspective directly feeds into how we design and build AI systems for our clients.

Azilen Technologies
Team Azilen

Azilen Technologies is an Enterprise AI development company . The company collaborates with organizations to propel their AI development journey from idea to implementation and all the way to AI success. From data & AI to Generative AI & Agentic AI, and MLOps, Azilen engages with companies to build a competitive AI advantage with the right mix of technology skills, knowledge, and experience.  

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