Dilip Pungliya’s Blueprint for Smart Cities: What It Actually Means
Smart cities. Big phrase, isn’t it? Sounds like something out of a sci-fi film, all glowing towers and robots directing traffic. Reality’s a bit less flashy, honestly. And a bit more interesting, too, once you actually dig in.
Let’s talk about Dilip Pungliya and the “Blueprint for Smart Cities” work he’s connected to.
Who Is Dilip Pungliya, Really?
Dilip Pungliya is a tech and business leader, based in London, with a background that spans data architecture, banking, and now, increasingly, smart city thinking.
He’s held serious roles over the years, big names too. Shell. Deutsche Bank. HSBC Investments. BNP Paribas. Even a UK government department focused on the environment. That’s a proper mix, honestly, finance, energy, government, all feeding into how he thinks about data and systems.
These days, he’s the Co-Founder, VP, and Chief Business Officer at ztudium, a company working across AI, blockchain, Web 3.0, and related tech. He’s also connected to citiesabc.com, a platform that focuses specifically on smart cities, digital transformation, and how urban areas are evolving through technology. You can find his full professional background on his BusinessAbc profile.
I think that career mix matters more than it first appears. Smart cities aren’t just an engineering problem. They’re finance, governance, environment, and tech, all tangled together. Someone who’s touched all four areas is arguably better placed to think about it holistically than a specialist who’s only ever worked in one lane. If you want to follow his day-to-day thinking on this, he’s fairly active on LinkedIn.
So, What Actually Is a “Smart City”?
Quick pause here, because the term gets thrown around loosely, and it’s worth actually defining before going further.
A smart city, at its core, uses technology, data, sensors, connected systems, to run more efficiently and serve residents better. Think traffic lights that adjust themselves based on real congestion, rather than a fixed timer. Think energy grids that respond to actual demand instead of guessing. Think waste collection routes optimised by data instead of habit.
It’s less about flashy gadgets, and more about making a city work smarter with the resources it already has. That’s the honest, unglamorous version of the definition, and I think it’s a more useful one than the sci-fi imagery most people picture.
The “Blueprint for Smart Cities” Report
This is where Dilip Pungliya’s work connects most directly. He’s listed as part of the board and leadership team behind “Blueprint for Smart Cities: A Social Contract,” a research report produced in collaboration with the University of Durham, alongside citiesabc.com and openbusinesscouncil.org.
The report took roughly 18 months to put together, pulling in university researchers, government representatives, and industry experts. That’s not a quick weekend project. That’s proper, sustained research.
The central idea behind it, and I think it’s genuinely the strongest part of the whole framework, is that a smart city isn’t just “smart plus city.” It’s not really about the technology at all, not fundamentally. It’s about who leads the city, and for whose benefit.
The Human-Centric Angle
Here’s the bit I find most compelling, honestly. The report leans hard into the idea of a “human-centric ecosystem.” Meaning: technology should serve people, not the other way around.
That sounds obvious when you say it out loud. But it isn’t always how smart city projects actually get built. Loads of them start with the tech, sensors, dashboards, apps, and only think about actual residents afterward, almost as an afterthought. This blueprint flips that order deliberately.
The report identifies four key groups that need to work together for a smart city to actually succeed: universities, businesses, government, and the environment. Four very different stakeholders, honestly, with very different priorities most of the time. Getting them properly aligned is, I’d argue, the hardest part of any smart city project, harder than any of the actual engineering.
Why This Framework Matters
I think what makes this blueprint worth paying attention to is the honesty baked into it. A lot of smart city marketing leans on buzzwords, “disruption,” “innovation,” that sort of thing, without much substance underneath.
This framework, by contrast, treats a smart city as a social contract. A deal between citizens, institutions, and technology, not just a shiny upgrade layered on top of an old city. That’s a meaningfully different starting point, and it shapes everything that follows from it.
Involving universities specifically feels smart too, honestly. Academic research brings rigor and independence that purely commercial smart city projects sometimes lack. It’s one thing for a tech company to claim their sensors improve city life. It’s another for independent researchers to actually study and verify that claim.
Pungliya’s broader tech work outside this specific report also feeds into this picture. He was named to the leadership team when businessabc.net partnered with the IEBF to bring generative AI tools to SMEs across India, the UK, and Europe, the same kind of data-driven thinking that underpins the smart cities blueprint.
What This Means for Students and Curious Readers
If you’re studying urban planning, technology policy, or even just generally curious about how future cities might work, this blueprint is a genuinely useful starting point. For a more conversational take, he also walked through his thinking on digital transformation and smart cities in a YouTube podcast interview with Dinis Guarda, worth a watch if you’d rather hear it explained directly. It’s less about specific gadgets, and more about the underlying philosophy, who’s involved, what values guide the process, how success actually gets measured.
I think that’s the right lesson here, honestly. Smart cities aren’t really a technology story at their core. They’re a governance story, wrapped in useful tech. Miss that distinction, and you end up with cities full of expensive sensors that don’t actually improve anyone’s daily life.
Final Thoughts
Dilip Pungliya’s involvement in this space, through ztudium, citiesabc, and the Blueprint for Smart Cities report specifically, points toward a version of “smart city” thinking that’s more grounded than the sci-fi version most people imagine.
It’s not about flying cars or robot street sweepers. It’s about data, governance, and genuinely putting people first in how cities get designed and run. Boring on the surface, maybe. But honestly, I think that’s exactly the kind of boring that actually makes a city work better for the people living in it.
