MEENAKSHISUNDARAM

Director -Payments, Digital Engineering, IT Architect

[Digital EU 🇪🇺 @DigitalEU]

AI needs computing power. Computing power needs data centres. Data centres need energy⚡️

The Commission is proposing a common rating scheme to make our data centres more efficient by boosting clean energy, grid flexibility and waste-heat reuse.

→ https://t.co/eXfr15fCe4

[MEENAKSHISUNDARAM @AMSUNDAR76]

Good one read and important #ai #microsoft

[Mustafa Suleyman @mustafasuleyman]

https://t.co/8XJVIXDpQz

[Satya Nadella @satyanadella]

Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.

We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive.

And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control.

So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk.

The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.

This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.

[Ajai Chowdhry @AjaiChowdhry]

We quit our jobs.

There were six of us — Shiv Nadar, Arjun Malhotra, Yogesh Vaidya, Subhash Arora, D.S. Puri and me.

It was 1976. Startups were not really a thing in India. Venture capital did not exist. Banks were not exactly lining up to lend money to six young men with an idea and no collateral.

And computers? Most people had barely heard of them.

But we believed the microprocessor was going to change the world.

So we took the plunge.

Between the six of us, we managed to put together ₹1.87 lakh. We borrowed, pooled our savings and, in one case, even sold a car.

Our first office was a small barsati in Golf Links, Delhi.

We called ourselves Microcomp. We wanted to build an Indian computer.

There was just one problem.

We didn’t have a manufacturing licence.

That eventually led us to UP Electronics Corporation. They had the licence. We had the technology. And that partnership gave birth to Hindustan Computers Limited — HCL.

But perhaps the most audacious part of the story was what happened next.

We started selling a computer that was still being designed.

We had a brochure and a mock-up of the machine. That was it.

Our sales teams went across India, knocking on doors and convincing businesses to buy into a technology they had never used before.

The first orders came from IIT Kharagpur and IIT Madras.

Then came the harder part — convincing businesses.

In Coimbatore, we were up against DCM DP, a much bigger and more established name. I still remember sitting in the reception area of Premier Mills while the DCM team made its pitch.

We went in second.

And we won.

That one order gave us five more. Then ten.

That was HCL in those early years: not having the biggest balance sheet, the biggest brand or the easiest path — but finding a way.

We were restless.

We looked for gaps. We hired people who had what we called a “cowboy” spirit. We believed that technology had to be made useful and accessible, not intimidating.

And we kept moving.

From building India’s early indigenous computers to taking our business to Singapore when HCL was just four years old. From a small room in Delhi to a global technology company.

When I look back at 50 years, I think about six people sitting together in 1976, wondering if this crazy idea could actually work.

I think about a barsati.

A brochure for a computer that did not yet exist.

And the courage to knock on the next door.

That, to me, is the real HCL story.

50 years later, the technology has changed beyond anything we could have imagined.

But the spirit remains the same:

Dream big. Take the risk. And above all, Just Aspire.

Happy 50th, HCL.

What a journey it has been.

#AjaiChowdhry #JustAspire #HCL #50yearsofHCL #Nostalgic #Founders

[Jim Marous 💯 @JimMarous]

Banking is quietly shifting from transactional utility to behavioral engagement. 

In this episode, we're joined by Nick Cowell, Principal and US Retail Banking Leader at @DeloitteUS, to discuss their new series, 2050: Banking Beyond. We dive into the concept of "Dopamine Banking" and how gamification is changing consumer expectations.

Neobanks are already leveraging saving streaks, interactive feeds, and behavioral rewards to capture market share. In the near future, the engaging moments consumers experience on social media, e-commerce, and gaming apps will become table stakes for retail banking. 

If your digital interface feels like a cold financial ledger while competitors offer rewarding, habit-forming experiences, retaining consumer attention becomes an uphill battle. 

How is your institution incorporating behavioral design and gamification into your mobile app experience?

Watch the full video now: https://t.co/2aRh4hemGd

[MEENAKSHISUNDARAM @AMSUNDAR76]

@TheBanker @caixabank Fully agree with this. The battle for potential young customers will not be won by offering the cheapest current account or the fastest onboarding. It will be won by building the durable relationships at the earliest point in a customer’s financial life, offering product depth

[MEENAKSHISUNDARAM @AMSUNDAR76]

Good to read and interpret this

[Mark Zuckerberg @finkd]

Give it a read: https://t.co/Rq4O3xRHdL

[MEENAKSHISUNDARAM @AMSUNDAR76]

Your AI pilot worked. Scaling it is a completely different problem. https://t.co/NqEte7bwwf #agentic ai #cognizant

[Satya Nadella @satyanadella]

Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity, while protecting national security. https://t.co/Tr0sAzAxTD

[Alvin Foo @alvinfoo]

It means someone believes in your ability to deliver.
It means you’re trusted with responsibility.
It means you matter.

Don’t run from pressure, rise to it.

[FinTech Futures @FinTech_Futures]

Rabobank and https://t.co/0CUoZRYciL extend seven-year AI partnership https://t.co/p63O4OEsL4

[Arena.ai @arena]

For the first time, China has taken the lead over the US in Frontend Code Arena with the launch of Kimi-K3 by @Kimi_Moonshot.

The last time a Chinese model came close was in early 2025, with DeepSeek-R1.

[European Payments Council @EPC_SEPA]

What's the connection between payments innovation and payments regulation in Europe?

EPC Director General Giorgio Andreoli will join the conversation at @TheBankingScene's Payments BBQ Night taking place 10 September in Brussels: https://t.co/WX9UQopYar

[PaymentsNews.com @paymentsnews]

Visa Study: European Banks Say AI Will Define the “Bank of the Future” – And Early Adopters Will Set the Pace by 2030
https://t.co/VZnPMe3GUb
#Payments

[PaymentsNews.com @paymentsnews]

India Eyes AI-powered UPI Payments As NPCI Develops Protocol For Agentic Transactions
https://t.co/cicMxjlVQd
#Payments

[Priyanka Vergadia @pvergadia]

Every AI model you use runs on billions of tiny buckets of electric charge. Here's what's actually happening underneath:

🟩 Your RAM is a grid, billions of tiny cells.
🟩 Each cell is one transistor and one capacitor.

The capacitor is a tiny bucket that holds electric charge.
🪣 Charge in the bucket = 1.
🫙 Empty = 0. That's a bit.

🚪 The transistor is the gate. It decides whether that bucket can be read or written to right now.

So how does the system find your exact bit out of billions?

Two wires, a row line and a column line, send voltage down the grid like coordinates on a map. Where they intersect, that gate opens, and the bucket underneath gets read or refilled.

"Memory allocation" is just the OS saying: your program gets buckets at these exact coordinates. No electricity moves until the address is picked.

Zoom out far enough, and your entire AI model every parameter, every inference is just voltage hitting the right intersection, billions of times a second.

Worth remembering the next time someone calls it magic.

#AI #TechExplained #physics #ComputerArchitecture #SystemDesign #Hardware #DeepTech #EngineeringLeadership

[PaymentsNews.com @paymentsnews]

Why Does the RBI Want to Keep Cryptocurrencies Out of India’s Banking System?
https://t.co/8l0PLtpY9V
#Payments

[PaymentsNews.com @paymentsnews]

Education: Tokenization: What It Is and How to Think About It
https://t.co/daLgDzw6GF
#Payments

[Reads with Ravi @readswithravi]

“Don't climb a mountain for the world to see you. Climb a mountain for you to see the world.” — Unknown

[The Paypers @ThePaypers]

1/ Outside the US, cards aren't king. UPI dominates in India. PIX is central in Brazil. Across Asia, alternative payment methods set the rules. If you don't support local rails, you're locked out of the market — full stop.