Big Data London is back to mark its 10th anniversary. The leading data, analytics and AI conference & exhibition is a hub for the Data Community to learn and share best practice.
Taking place from September 24 to September 25, 2025, with a pre-show on September 23, this year's event will focusing on building a dynamic, data-driven business.
Once again this year, Jovita Tam Data/AI Advisor & Attorney (England/NY), Speaker, Board Advisor, is set to lead an vital session titled : How to Lose Everything — The AI Foundations No One Talks About.
She’ll explore the key quiet set of foundations—governance, trust, and purpose-driven decisions—that most teams overlook until it’s too late. The talk will also explore the complex, unsolved challenges on the horizon—the ones we haven’t fully mapped, but can’t afford to ignore.
We were lucky enough to speak to Jovita Tam, Data/AI Advisor & Attorney (England/NY), Speaker, Board Advisor ahead of the conference to get the insider perspective on what to expect at Big Data London 2025.
BDL 2025 continues to be a major event in the data and AI community. What are you most looking forward to at this year's conference?
“This will actually be my fourth year speaking at Big Data LDN and my third year serving on the steering committee, so it’s been a privilege to watch both the event and the industry evolve over time. What I always look forward to most is the community aspect — every year the faces may change, but the spirit of connection remains. It’s wonderful to see familiar faces, meet new ones, and bring together fellow innovators in data and AI from around the world to exchange ideas in person. For some of my closest connections in the field, Big Data LDN is one of the rare times we’re all in the same place — each of us spending the rest of the year working to champion safe and responsible technology deployment in different parts of the world. That sense of global community is what makes the event so special.”
Your talk, "How to Lose Everything — The AI Foundations No One Talks About," follows up on your previous insights about the business value of AI regulations. Could you provide a preview of the key topics and insights you'll be sharing with the BDL audience?
“This year’s talk is really about pulling together the themes I’ve been exploring at Big Data LDN over the past few years. I’ve looked at how purpose-driven strategy, adaptive mindsets, and effective governance shape real outcomes. What I see now is that too many organizations are still ‘playing AI games’ — experimenting with tools and pilots without alignment, purpose, or the ability to scale — and the cost is wasted resources, broken trust, and empty promises.
My talk will unpack what the smartest companies quietly get right. In AI, speed without the proper foundations isn’t a strategy, it’s a liability. And for those wondering where to begin, I’ll share practical ways leaders can identify a starting point to move beyond experiments and start building real strategic capabilities.”
Given the rapid pace of change in data, analytics, and AI, what's one piece of advice you'd offer to organisations that are just beginning to navigate the shift towards an "agentic workforce"?
“I think it’s important to start by recognizing that AI is a horizontal technology. There’s no single path every organization is following. Not every company is necessarily moving toward an ‘agentic workforce.’ The real imperative is for each organization to decide its own direction, strategy, and the pace at which it wants to move.
My advice is simple: focus on your foundations. Without clarity of purpose, strong governance, and alignment across the business, any leap toward advanced AI adoption risks failure. Get the fundamentals right first, and you’ll be in a far stronger position to decide if, when, and how to embrace things like agentic AI in a way that actually creates value.”
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