When BIG DATA LDN launched in 2016, I was working from my wife's dressing table. I didn't even have a proper desk. Ten years later, what began as an ambitious start-up serving the UK's growing data community has grown into one of Europe's leading gatherings for data, analytics and artificial intelligence.
In many ways, the story of BIG DATA LDN mirrors the story of the industry itself. When we launched, conversations revolved around big data, cloud migration and analytics. Artificial intelligence was still largely the preserve of researchers and early adopters. Today, AI dominates boardroom discussions in almost every sector.
When RX acquired BIG DATA LDN in 2022, it recognised what our community had known from the beginning: data professionals needed a dedicated place to learn from one another, challenge ideas and shape the future together. Since then, we've continued to grow alongside an industry evolving at extraordinary speed.
Watching that evolution up close has taught me something surprising. The biggest lesson of the past decade isn't really about AI. It's about trust.
I believe the organisations that succeed over the next decade won't necessarily be the ones with the smartest technology. They'll be the ones with the strongest foundations.
The AI conversation has changed
A couple of years ago, businesses were asking whether they should adopt AI. Today, that question has largely been answered. The real challenge is making AI deliver meaningful business value.
In short, too many organisations are buying a state-of-the-art kitchen before they've installed the plumbing. AI is incredibly powerful, but without clean data, governance and the right infrastructure underneath, it simply can't deliver the results businesses expect. It's a simple analogy, but it perfectly captures where the conversation has shifted.
For decades, the data industry has lived by a simple but somewhat crude principle: garbage in, garbage out. AI hasn't changed that rule. It's made it even more important. Models trained on poor-quality or poorly governed data simply produce poor-quality outcomes, often at extraordinary speed and scale. Organisations often ask why their AI initiatives aren't delivering the promised returns. Usually, the answer isn't the AI. It's the foundations.
Clean data. Clear governance. Modern infrastructure. Strong ownership and a business culture prepared to work differently. Those aren't the headlines grabbing attention. They're also the reason some organisations are moving from AI pilots to measurable business value while others remain stuck experimenting.
Strong foundations create real value
AI isn't an IT project anymore. Perhaps the biggest misconception I still encounter is that AI belongs to the technology department. It doesn't.
One of the most significant shifts we're seeing is that AI is becoming a business capability. Every function needs to understand how it can improve the way they work. Marketing teams are using AI to better understand customers. Finance teams are rethinking forecasting and decision-making. HR teams are exploring recruitment and workforce planning. Sales teams are transforming customer engagement. This isn't simply another technology trend. It's a business transformation.
The organisations succeeding aren't asking, "What can AI do?" They're asking, "How do we help every part of our organisation use it well?" Technology should make us better, not replace us.
Much of the public conversation around AI still centres on fear. Will it replace jobs? Will it make people redundant?
Personally, I think we're asking the wrong questions. Technology has always changed how people work. The real opportunity is allowing people to spend less time on repetitive administration and more time solving problems, thinking creatively and making better decisions.
AI shouldn't replace human judgement. It should create more space for it.
The organisations seeing the greatest value understand that people remain the competitive advantage. AI simply helps them perform at their best.
The next phase of AI will change something else too.
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Within a few years, many routine business interactions will happen between AI agents rather than people. They'll schedule meetings, qualify suppliers, answer procurement questions and automate countless administrative tasks.
That isn't science fiction. It's already beginning. And that's precisely why genuinely human conversations and collaborations will become more valuable, not less. The next competitive advantage will be trust.
Ironically, the more AI removes routine human interaction from our working lives, the more valuable genuine human connection becomes.
Why face-to-face still matters
That's one of the reasons BIG DATA LDN has evolved over the past decade. What began as a gathering for data specialists has become a meeting place for business leaders, marketers, finance professionals, HR teams and technologists, reflecting the reality that AI is now a business issue rather than simply a technical one.
One of the privileges of leading the event has been watching those conversations unfold. Over the years I've heard remarkable speakers, from Professor Brian , Tim Peake and Hannah Fry to Jimmy Wales, challenge audiences to think differently about technology, leadership and innovation. This year, Louis Theroux joins that line-up. But while the speakers are memorable, the conversations they spark afterwards are often even more valuable.
The most important discussions rarely happen on stage. They happen over coffee, in the aisles and between peers asking one another, "What worked?", "What didn't?" and "What would you do differently?" Those conversations don't happen in reports or AI-generated summaries. They happen when people come together.
Looking ahead, AI is not going to be enough...
If I look ahead five years, I don't think we'll remember 2026 simply as the year AI became mainstream. We'll remember it as the point when organisations realised that AI alone wasn't enough. The businesses that pulled ahead weren't necessarily those with the biggest technology budgets or the most sophisticated algorithms. They were the ones that invested just as heavily in their data, their governance and, above all, their people.
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AI will continue to transform almost every industry, and I have no doubt the pace of change will only accelerate. But technology on its own has never been a competitive advantage for long. What endures is an organisation's ability to earn trust, adapt to change and bring talented people together to solve problems.
In a world where artificial intelligence is increasingly handling routine tasks and even routine conversations, those human qualities won't become less important. They'll become the defining advantage. Because the organisations that succeed won't simply have the smartest AI. They'll have the strongest foundations, the best people and the greatest ability to build trust.
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