Legacy Data: Your Hidden Superpower
Machine learning has a simple truth: feed the same data points into ChatGPT, Perplexity, Llama, or any similar model, and you’ll get almost identical results. But the moment you introduce a unique or proprietary dataset—something no one else has—you unlock a whole new level of differentiation. That’s why your legacy data is a hidden superpower.
Why Legacy Companies Should Take the Leap:
Given these developments (my earlier tweets), if you’re a legacy company, looking to transform a long-standing business, this is the moment to think big. Established firms often have decades of customer relationships, well-honed workflows, and proven processes that can become rocket fuel when combined with digital technologies—especially AI. One of your most powerful assets is the data you already own.
I write about #AI & #DigitalTransformation for Legacy companies. My book: https://t.co/Pgmr344fKK
If you're running a legacy company right now, this is your golden moment to think beyond incremental changes and go big with transformation. Your decades of customer relationships, battle-tested workflows, and proven processes aren't just nice-to-haves—they're rocket fuel waiting to be ignited by digital technologies, especially AI. Here's the kicker: while everyone's obsessing over the latest AI models, your most powerful weapon is something you already own—your data. Machine learning models like ChatGPT or Llama will give you cookie-cutter results when fed generic data, but the moment you pour in your unique, proprietary dataset, you unlock a level of differentiation your competitors can't touch. Take Asian Paints, who was turning data into gold long before "big data" became a buzzword—their journey shows exactly how legacy companies can transform their dusty archives into AI superpowers.
In the near future, it’s entirely possible for a single person to run a billion-dollar company. Within a decade, AI could be a million times more powerful, putting extraordinary tools in the hands of individuals at everyday costs. A small team of ten might operate a $100-billion organisation, while a solo founder could scale to a billion. Just as disruptive, a rival could slash the cost of a critical part of the value chain, overturning entire industries overnight. For large legacy corporations, this means not just slower growth or thinner margins—but the real risk of extinction.
The tech world's golden rule: those who build the pipes get praised, but those who deliver what flows through them get paid: When radio burst onto the scene in the 1920s, companies like Marconi and Atwater Kent made decent money selling the actual sets—but the real winners were media giants NBC and CBS, who turned those boxes into goldmines by creating the shows, sports broadcasts, and news that families couldn't live without. Television played out exactly the same way. Now we're watching this pattern repeat with AI, where OpenAI, Meta, DeepSeek, etc, are building the underlying models, but it's just the opening act. As the AI models get commoditised, the companies that will truly strike it rich will be the ones who'll figure out how to weave these AI models into services we can't imagine living without.
“The gold rush isn’t in the shovels—it’s in the daily habit.”
The real money in AI will go to organisations that make it part of everyday work, not just to LLM model builders.
Think about how media companies won by turning radio and TV into nightly routines, while the hardware makers earned less.
Ask each day: what will our users do with AI before breakfast?
#AI #DigitalTransformation for #Legacy Companies
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Would love to hear your thoughts on where AI meets brand strategy!
#BrandBuilding#AI#DigitalTransformation#Marketing
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I've been exploring how the principles from my book "Make Them Love It!" (https://t.co/Op6GbvgUlF) apply to different fields. This time: modern branding—and the results have been fascinating.
Key insights in the carousel below 👇
Dear @sanjeevsanyal, @AakankshaArora5,
Your insightful and forward-thinking views on the significance of 3D digital twins for Indian cities are deeply appreciated at Genesys (@igenesys_1996). We are building the New India Map Stack! Your understanding of this complex subject truly reflects the essence of our mission.
Over the last three years, we've systematically invested in providing India with essential digital infrastructure inspired by the principles described in your article.
We've invested significantly in Genesys Constellation: India's, and perhaps Asia's, largest array of aerial and terrestrial sensors, along with our proprietary technology platform. Our 3D digital twins are highly accurate (engineering grade), focusing on consistent and clear standards.
We can now map the entire urban India in 3D!
#DigitalTwins #UrbanPlanning #Innovation #Genesys #FutureOfCities
My article with @AakankshaArora5 in today's ToI on why India Stack 2.0 should be a "digital twin" of the country. There would be many spin-offs from infrastructure/urban planning to disaster management & property rights. New uses & start-ups could then be built on top of it.
@arunvenk Check out Genesys International - big opp in creating digital twins for telecom / utilities / big tech use cases, possibly the only chaps who're good at 3D mapping. They're also doing street view for Google - but they own the data which they can potentially sell to 3rd parties
@shopflo_@gokwik@commerceIQ1 16/ Why did it collapse? The collapse was caused due to unstaking of over $2 billion worth of UST. A large part of that was immediately sold, and the price dropped to 91 cents. Maybe it was an attack on Terra's system. Perhaps it was just the reaction to the interest rate hike.
#DigitalTransformation Weekly Update 🧵
1/ #EV maker @atherenergy (2013) raised $128(valued <$1 billion). They would invest in supply chain apart from building own capacity. This implies the importance of the supply chain in this space. BTW Much younger OlaElectric is valued $5b
@shopflo_@gokwik@commerceIQ1 15/ After TerraUSD de-pegged on May 10, 2022, the U.S. Treasury Secretary Janet Yellen reiterated her earlier views on passing legislation to regulate stablecoins.