7 Things You Don’t Want to Miss at AI & Big Data Expo London

If you’re heading to the AI & Big Data Expo in London, you’re about to get hit with a lot (in a good way): big-name enterprise speakers, hands-on demos, startup energy, and seven co-located events under one roof. It’s one of those events where you can either leave feeling energized and informed… or leave with sore feet and a head full of half-remembered acronyms. It’s two days at Olympia London (Feb 4–5, 2026), and it’s easy to either over-pack your schedule… or wander around and accidentally miss the best stuff.

Below are seven simple, high-impact moves to make the most of it.

1. Build a “two-lane” agenda: one lane for learning, one lane for demos

The fastest way to have a good conference is to split your time intentionally:

• Lane A: sessions that sharpen your POV (strategy, real deployments, hard lessons)
• Lane B: expo-floor demos that show what’s actually usable right now

Quick move: choose 2–3 sessions you must catch each day. Everything else becomes optional.

2. Pick one anchor theme per day (so you don’t end up doing nothing deeply)

This event is big, and the real value comes from going deeper in one area rather than sampling 30 things. Pick a theme you care about (GenAI, MLOps, governance, data infrastructure, AI in specific industries) and let that guide your choices.

3. Do an “expo-floor sprint” with a shortlist

Wandering is fun for 20 minutes — then it becomes chaos.

Make a shortlist of 8–10 booths you want to hit, and keep your demos short and focused.

Two questions that cut through fluff:

1. “What does this replace or simplify?”
2. “What does production look like in 30 days?”

4. Visit D-ID’s booth (and ask for a demo that matches your use case) 

If you want a quick, tangible glimpse of where AI communication is going, go see D-ID at our booth (187).

Make it worth it: ask Steve and Fred to show you how AI avatars and visual agents can turn explainers, onboarding, training, and customer interactions into a more human, face-to-face experience.

5. Hop into one co-located event that solves your biggest bottleneck

AI projects don’t fail because the model didn’t exist. They fail because security, data plumbing, deployment, or automation wasn’t ready. The co-located tracks make it easy to plug that gap while you’re already there. 

6. Spend real time in the Start-Up Area

Even if you’re enterprise-focused, the Start-Up zone is where you’ll spot the next wave of product patterns early. You’re basically getting a “what’s coming next” radar sweep.

Quick move: use your time to collect ideas, not swag. pay attention to the recurring problems startups keep trying to solve.

7. After hours: what to do around Olympia (when your brain is full)

Olympia is in a great pocket of London for a post-conference reset. A few easy options:

• Kensington High Street: an easy walk, lots of places to grab food, low-effort wandering.
• Holland Park: if you want greenery and quiet to decompress.
• Notting Hill / Portobello Road: if you feel like exploring and turning the evening into a mini-London moment.
• Classic pub evening nearby: perfect for informal “okay, what did you actually think?” debriefs with your team.

As AI & Big Data Expo Global London gets closer, it’s worth going in with a simple game plan so you can actually make the most of it. Between the big-picture sessions, hands-on demos, and plenty of chances to meet the people building what’s next, this is one event you won’t want to skim. And of course, swing by D-ID’s booth (187) to say hi and get a live look at our latest in expressive avatars and visual agents. For the full agenda and logistics, head to the event site. See you in London!

FAQs