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Databricks UK Meetup: Data & Spritz
Conversational Analytics, Community and Genie in Practice

Thursday, 15 October 2026
The Chapel at Elmtree, Marylebone, London
Free in-person event

What if you could ask your company’s data a question in everyday language, and get a useful answer back without building a dashboard or writing a query?
That’s the idea behind conversational analytics.
Instead of searching through reports or asking a data team to investigate every question, users can interact with data much more like they would with an AI assistant:
“What’s driving growth this quarter?”
“Which customer segments are performing best?”
“Summarise the key trends in this data.”

At this meetup, we’ll explore how this works in practice using Databricks Genie - Databricks’ conversational analytics experience designed to help people ask questions of business data using natural language.
You don’t need to know Databricks or Genie already to join us.
If you work with data, analytics, BI or AI, or you’re simply interested in how AI is changing the way people interact with business data, this evening is for you.

What we will explore
We’ll look beyond the polished AI demo and discuss what it actually takes to make conversational analytics useful inside an organisation.
That includes how Genie works, what needs to happen behind the scenes before users can reliably ask questions of their data, how teams create the right business context, and how organisations think about trust, governance and adoption.
You’ll also see Genie in action, hear practical perspectives from people working with the technology, and have the opportunity to ask questions directly to Databricks and Datapao practitioners.

Expect:
Live demos
See how conversational analytics works and what a real Genie experience looks like.
Practitioner insights
Hear what teams need to consider when moving from an interesting demo to something people can genuinely use.
Real-world perspectives
We’re bringing together Databricks, Datapao and customer perspectives so the discussion isn’t limited to the technology itself.
Open discussion
There will be plenty of time for questions and conversation around what works, what is challenging, and where conversational analytics is heading.
Networking over prosecco
After the sessions, stay for drinks and meet other people from London’s data and analytics community.

Who should join?
This meetup is for anyone interested in modern analytics and AI, including data analysts, data engineers, analytics engineers, BI professionals, data architects, AI developers, platform teams, technical consultants, analytics leaders and product owners.
You might already use Databricks, or you might be hearing about Genie for the first time.
Both are completely fine.
The aim is to make the evening useful whether you are already experimenting with conversational analytics or simply want to understand what it is and where it could fit.

Speakers:
Lingeshwaran Kanniappan
Senior Solution Engineer, Databricks
Lucas Stone
Field Engineering Staff Member, Databricks
Máté Gulyás
CEO, Datapao
We are also inviting a customer to join the programme and share a real-world perspective on using conversational analytics inside an organisation.

Agenda:
17:30 – Doors open, registration & prosecco
18:00 – Welcome
18:10 – Conversational analytics and the Databricks perspective
18:30 – Genie live demo
18:55 – Genie in practice: implementation and real-world perspectives
19:15 – Panel discussion + audience Q&A
19:30 onwards – Food, drinks & networking

Venue
The Chapel at Elmtree
32 Welbeck Street
Marylebone
London W1G 8EU

About the Databricks UK Meetup:
These new Data & Spritz Databricks Meetups by Datapao is about bringing the data community together around useful conversations, practical technology and real experiences with a glass of prosecco.
No prior Databricks knowledge required. You will get practical ideas, live demos, good questions and people working on similar challenges.

The event is free, but places are limited. RSVP to secure your spot.

Related topics

Events in London, GB
Artificial Intelligence Applications
Big Data
Data Analytics
Data Science
Data Visualization

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