20 - 21 November 2025

Connected Data London 2025

The leading global technology conference for those who use the Relationships, Meaning and Context in Data to achieve great things.

Secure your place today and join us on 20-21 November:

By submitting you agree to the Terms & HeySummit privacy policy

Connect & Learn

Learn new skills at our Day 1 Masterclasses

15 hands-on sessions with expert instructors
From entry-level to advanced
Certificates of attendance provided

Broaden your horizon at our Day 2 Conference

30 presentations with leaders and innovators
3 panel discussions
Nodes Track features industry use cases
Edges Track showcases research & innovation
Educational Track welcomes newcomers

Join our Community Dinner

Join 100+ fellow connected data practitioners at our Community Dinner on the evening of Day 1
An excellent opportunity to network & connect with industry leaders and speakers in an informal setting

Secure your place today and join us on 20-21 November 2025

Connected Data London 2024 was a huge event with over 320 delegates.

Returning for our 6th edition, 2025 is set to be more impactful than ever before!

Our 2025 programme is now live! We have secured a new bigger and more flexible venue, the Leonardo Royal Hotel London Tower Bridge, offering unrivalled networking and learning opportunities.

Don't delay - secure your place now!

Secure your ticket

Watch the 2024 event highlights

Secure Early Bird tickets

Featured talks

Not sure what to watch? Here are some talks you won't want to miss.

Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs
20 November 2025, 09:30 AM
GraphRAG for Exploring Heterogeneous Medical Knowledge
20 November 2025, 09:30 AM
Graphs in the Real World: Modelling for Complex Enterprises
20 November 2025, 09:30 AM
SHACL: Building Flexible Schemas For Knowledge Graphs
20 November 2025, 09:30 AM
Understand relationships in your data with Knowledge Graphs
20 November 2025, 09:30 AM
Breaking Supply Chain Reactions: Graphs vs. Tariffs & Risks
20 November 2025, 11:50 AM
Collaborative Information Exchange Environments using NIEMOpen with Ontologies and Knowledge Graphs
20 November 2025, 11:50 AM
Intelligent Data for Life Sciences - Beyond the Hype, how Tailored Graph-AI Solutions Change the Game
20 November 2025, 11:50 AM

Call for submissions is now open!

We are calling leaders and innovators to share use cases and breakthroughs made possible using Knowledge Graphs, Graph Data Science and AI, Graph Databases, Semantic Technology and Ontologies.

Call for Submissions

Meet our 2025 speakers

Discover more about our expert speakers below. More will be announced in the coming weeks.

See all speakers

Schedule

Check the exciting agenda we have planned for you

* November 20: Hands-on Masterclasses

* November 21: Main conference day

09:30 AM

IN-PERSON

Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs

Paco Nathan & Prashanth Rao

Replay Planned

View

09:30 AM

IN-PERSON

GraphRAG for Exploring Heterogeneous Medical Knowledge

Giuseppe Futia

Data Engineer, CSI Piemonte

Replay Planned

View

09:30 AM

IN-PERSON

Graphs in the Real World: Modelling for Complex Enterprises

Mark Manley & Xanthos Angelides

Replay Planned

View

09:30 AM

IN-PERSON

SHACL: Building Flexible Schemas For Knowledge Graphs

Achim Reiz

Founder, neonto GmbH

Replay Planned

View

09:30 AM

IN-PERSON

Understand relationships in your data with Knowledge Graphs

Martin O'Hanlon

Technical Curriculum Developer, Neo4j

Replay Planned

View

11:50 AM

IN-PERSON

Collaborative Information Exchange Environments using NIEMOpen with Ontologies and Knowledge Graphs

Bradley Bolliger

Manager, AI & Data, Ernst & Young

Replay Planned

View

11:50 AM

IN-PERSON

Breaking Supply Chain Reactions: Graphs vs. Tariffs & Risks

Maya Natarajan

Founder, node2node

Replay Planned

View

11:50 AM

IN-PERSON

Intelligent Data for Life Sciences - Beyond the Hype, how Tailored Graph-AI Solutions Change the Game

Cedric Berger

Head of Knowledge Management, MIGx

Replay Planned

View

12:30 PM

IN-PERSON

Creating RDF Knowledge Graphs from structured data using mapping languages

Michael Rauch

Software Engineer, Zazuko

Replay Planned

View

12:30 PM

IN-PERSON

Text, Images, and Audio for Multimodal Intelligence in GraphRAG

Amy Hodler & David Hughes

Replay Planned

View

12:30 PM

IN-PERSON

Combine Knowledge Graphs and LLMs to speed up criminal network analysis: A hands-on tour

Alessandro Negro

Chief Scientist, Graph Aware Ltd

Replay Planned

View

12:30 PM

IN-PERSON

Mastering maplib - a groundbreaking RDF framework for Python

Veronika Heimsbakk

Knowledge Graph Specialist, Data Treehouse

Replay Planned

View

12:30 PM

IN-PERSON

Demystifying Knowledge Graphs, Semantic Technologies and Labelled Property Graphs: A Beginners Hands-On Exploration for making the right choice

Tara Raafat & Petra Selmer

Replay Planned

View

02:50 PM

IN-PERSON

Ontology is not a trademark of RDF: LEX schemas for property graphs

Alastair Green

Vice-chair, Graph Data Council

Replay Planned

View

02:50 PM

IN-PERSON

What Your AI is Allowed to Know: Identity and Graphs in AI Security

Alexandre Babeanu

Lead Product Manager, AI Control Suite, Indykite

Replay Planned

View

02:50 PM

IN-PERSON

Decoupling Schemas from Systems - A Unified Modeling Approach for Data Products and Semantic Interoperability

Alaa Alweish & Cruce Saunders

Replay Planned

View

03:30 PM

IN-PERSON

The Ultimate Guide to Semantic Reasoning & Knowledge-Based AI: How to enrich your data for practical applications including use with RAG & LLMs

Tom Vout

Knowledge Engineer, Oxford Semantic Technologies

Replay Planned

View

03:30 PM

IN-PERSON

Grounding LLMs on Solid Knowledge: Assessing and Improving Knowledge Graph Quality in GraphRAG Applications

Panos Alexopoulos

Lead Semantic Data and AI solutions, Triply BV

Replay Planned

View

03:30 PM

IN-PERSON

Hands On Building Intelligent Memory: Graph Databases for AI Agent Context and Retrieval

William Lyon

Developer Experience, Hypermode

Replay Planned

View

03:30 PM

IN-PERSON

Rumble in the Jungle: SPARQL vs SQL vs Cypher

Nikolaos Karalis

Co-Founder and Lead Engineer, Tentris GmbH

Replay Planned

View

03:30 PM

IN-PERSON

How to implement Ontology Based Data Management – Moving from application-centric to data-centric

Ben Gardner

R&D lead for Data Mesh and Semantic Infrastructure, AstraZeneca

Replay Planned

View

Testimonials

We very much enjoyed participating. Let me state once again how extraordinarily well organized it was.

Melli Annamalai
Oracle Senior Product Manager
Excellent event and organization

Rafael Gonçalves
Research Scientist, Stanford University
I really enjoyed participating in the conference and it allowed me to meet great people.

Caroline Goulard
Dataveyes Founder & CEO
You way out perform the large event organizers with your service and professionalism. Bravo!

Dave Duggal
EnterpriseWeb CEO & Founder
It was great to be a sponsor and speaker at Connected Data

Bob van Luijt
Weaviate CEO & Co-Founder

Schedule

Stay tuned for updates

09:30 AM

IN-PERSON

Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs

Paco Nathan & Prashanth Rao

Replay Planned

View

09:30 AM

IN-PERSON

GraphRAG for Exploring Heterogeneous Medical Knowledge

Giuseppe Futia

Data Engineer, CSI Piemonte

Replay Planned

View

09:30 AM

IN-PERSON

Graphs in the Real World: Modelling for Complex Enterprises

Mark Manley & Xanthos Angelides

Replay Planned

View

09:30 AM

IN-PERSON

SHACL: Building Flexible Schemas For Knowledge Graphs

Achim Reiz

Founder, neonto GmbH

Replay Planned

View

09:30 AM

IN-PERSON

Understand relationships in your data with Knowledge Graphs

Martin O'Hanlon

Technical Curriculum Developer, Neo4j

Replay Planned

View

11:50 AM

IN-PERSON

Collaborative Information Exchange Environments using NIEMOpen with Ontologies and Knowledge Graphs

Bradley Bolliger

Manager, AI & Data, Ernst & Young

Replay Planned

View

11:50 AM

IN-PERSON

Breaking Supply Chain Reactions: Graphs vs. Tariffs & Risks

Maya Natarajan

Founder, node2node

Replay Planned

View

11:50 AM

IN-PERSON

Intelligent Data for Life Sciences - Beyond the Hype, how Tailored Graph-AI Solutions Change the Game

Cedric Berger

Head of Knowledge Management, MIGx

Replay Planned

View

12:30 PM

IN-PERSON

Creating RDF Knowledge Graphs from structured data using mapping languages

Michael Rauch

Software Engineer, Zazuko

Replay Planned

View

12:30 PM

IN-PERSON

Text, Images, and Audio for Multimodal Intelligence in GraphRAG

Amy Hodler & David Hughes

Replay Planned

View

12:30 PM

IN-PERSON

Combine Knowledge Graphs and LLMs to speed up criminal network analysis: A hands-on tour

Alessandro Negro

Chief Scientist, Graph Aware Ltd

Replay Planned

View

12:30 PM

IN-PERSON

Mastering maplib - a groundbreaking RDF framework for Python

Veronika Heimsbakk

Knowledge Graph Specialist, Data Treehouse

Replay Planned

View

12:30 PM

IN-PERSON

Demystifying Knowledge Graphs, Semantic Technologies and Labelled Property Graphs: A Beginners Hands-On Exploration for making the right choice

Tara Raafat & Petra Selmer

Replay Planned

View

02:50 PM

IN-PERSON

Ontology is not a trademark of RDF: LEX schemas for property graphs

Alastair Green

Vice-chair, Graph Data Council

Replay Planned

View

02:50 PM

IN-PERSON

What Your AI is Allowed to Know: Identity and Graphs in AI Security

Alexandre Babeanu

Lead Product Manager, AI Control Suite, Indykite

Replay Planned

View

02:50 PM

IN-PERSON

Decoupling Schemas from Systems - A Unified Modeling Approach for Data Products and Semantic Interoperability

Alaa Alweish & Cruce Saunders

Replay Planned

View

03:30 PM

IN-PERSON

The Ultimate Guide to Semantic Reasoning & Knowledge-Based AI: How to enrich your data for practical applications including use with RAG & LLMs

Tom Vout

Knowledge Engineer, Oxford Semantic Technologies

Replay Planned

View

03:30 PM

IN-PERSON

Grounding LLMs on Solid Knowledge: Assessing and Improving Knowledge Graph Quality in GraphRAG Applications

Panos Alexopoulos

Lead Semantic Data and AI solutions, Triply BV

Replay Planned

View

03:30 PM

IN-PERSON

Hands On Building Intelligent Memory: Graph Databases for AI Agent Context and Retrieval

William Lyon

Developer Experience, Hypermode

Replay Planned

View

03:30 PM

IN-PERSON

Rumble in the Jungle: SPARQL vs SQL vs Cypher

Nikolaos Karalis

Co-Founder and Lead Engineer, Tentris GmbH

Replay Planned

View

03:30 PM

IN-PERSON

How to implement Ontology Based Data Management – Moving from application-centric to data-centric

Ben Gardner

R&D lead for Data Mesh and Semantic Infrastructure, AstraZeneca

Replay Planned

View

Frequently Asked Questions

: You can secure your ticket to Connected Data London 2025 from the right hand side of the header menu above under 'tickets'.
: This year's event programme is now available on the website - discover the programme.
: If you register for the event when the programme is live, you will be asked to check the talks you'd like to attend at checkout. If you registered for the event before this date or would like to make any changes, you can revisit to add your preferences or edit your selection by logging into the website.
Please make sure your personalised schedule reflects your choices. You will be sent automated reminder emails for all the talks you have selected, to make sure you don't miss anything.
: First off, make sure you have purchased a ticket that grants you access to the talk(s) you are planning to watch remotely.
If you have your ticket sorted, there's a number of ways you can access the recordings after the event:
The first way is to open your browser, point to the appropriate talk URL at the specific time and login with the email used for your ticket purchase. When the time of the talk comes, a window will open transferring you to the live stream.
Another way is through your Personal Schedule. Attendees can access a session by logging into the event and then heading to their personal schedule. Then you can click the View button next to the session you want to watch.
An alternative is access via event notification emails:
Attendees can also access the session page via event emails (i.e., session reminder emails, the personal schedule email, or daily digest email that are sent to attendees automatically). We never send attendees the join links via email for privacy reasons. The links in the email will send attendees to the session page.
If you face any issues, refresh the page. If this doesn't work, please contact us at [email protected].
: Yes! Presentations will be made available to all participants to watch as soon as possible after the event.
: It is entirely up to you, some delegates prefer to use notepad, some prefer to use laptops. Perhaps it is a good idea to bring your laptop with you should you feel you need it.
: Yes, all sessions will be recorded and shared with attendees after the event. Masterclass instructors also share material with attendees.
: Yes, you will receive a certificate of attendance.
: You can find a link to our terms and conditions at the bottom of the website or here: connected-data.london/terms-of-business
: You can find a link to our Code of Conduct at the bottom of the website or here: connected-data.london/code-of-conduct
: Yes, cancellations must be submitted in writing. For more details about the refund policy, please refer to our Terms & Conditions.
Alternatively, if a delegate is unable to attend, they are welcome to transfer their ticket to their colleague at no extra charge. Contact us at [email protected] and we will transfer the booking to your colleague.
: Our advance rate is available for bookings made by Friday 31 October and provides 15% off of standard ticket prices.
We also offer discounts for group registrations of 2 or more - take a look at the ticket details for bulk discount offers.
: You can download your VAT/Tax invoice right after purchase but should you not be able to do so, please email [email protected] for your copy.
: We prefer advance registration, but if you wish to pay on arrival, we will charge your card the standard rate of your selected ticket.
: Yes, please bring your booking confirmation with you on your phone.
: The event will take place at the Leonardo Royal London Hotel Tower Bridge.
: We have secured a preferential, discounted rate for our attendees at the Leonardo Royal Hotel London Tower Bridge where the event is taking place. To access this rate, visit the venue website, enter your dates and the promo code CONNECTEDDATA25 (the +promo code is on the left of the page beneath the hotel name).
Current rates offered are:
19 November: £297.00 per room (single occupancy)
20 November: £231.00 per room (single occupancy)
: Yes, the venue is wheelchair accessible.
: Yes, please let us know your dietary requirements via the registration form upon purchasing tickets.
: We use two event apps. Eventee for Q&A during the main Conference Day talks and Heysummit for all the event information. We will be in touch with further details on these apps closer to the event.
: Sign up to our newsletter and follow us on social media for the latest information:
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Connected Data London 2025

Connect & Learn

Learn new skills at our Day 1 Masterclasses

Broaden your horizon at our Day 2 Conference

Join our Community Dinner

Secure your place today and join us on 20-21 November 2025

Don't delay - secure your place now!

Watch the 2024 event highlights

Featured talks

Call for submissions is now open!

Say hello to our 2025 sponsors

Meet our 2025 speakers

Schedule

Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs

GraphRAG for Exploring Heterogeneous Medical Knowledge

Graphs in the Real World: Modelling for Complex Enterprises

SHACL: Building Flexible Schemas For Knowledge Graphs

Understand relationships in your data with Knowledge Graphs

Collaborative Information Exchange Environments using NIEMOpen with Ontologies and Knowledge Graphs

Breaking Supply Chain Reactions: Graphs vs. Tariffs & Risks

Intelligent Data for Life Sciences - Beyond the Hype, how Tailored Graph-AI Solutions Change the Game

Creating RDF Knowledge Graphs from structured data using mapping languages

Text, Images, and Audio for Multimodal Intelligence in GraphRAG

Combine Knowledge Graphs and LLMs to speed up criminal network analysis: A hands-on tour

Mastering maplib - a groundbreaking RDF framework for Python

Demystifying Knowledge Graphs, Semantic Technologies and Labelled Property Graphs: A Beginners Hands-On Exploration for making the right choice

Ontology is not a trademark of RDF: LEX schemas for property graphs

What Your AI is Allowed to Know: Identity and Graphs in AI Security

Decoupling Schemas from Systems - A Unified Modeling Approach for Data Products and Semantic Interoperability

The Ultimate Guide to Semantic Reasoning & Knowledge-Based AI: How to enrich your data for practical applications including use with RAG & LLMs

Grounding LLMs on Solid Knowledge: Assessing and Improving Knowledge Graph Quality in GraphRAG Applications

Hands On Building Intelligent Memory: Graph Databases for AI Agent Context and Retrieval

Rumble in the Jungle: SPARQL vs SQL vs Cypher

How to implement Ontology Based Data Management – Moving from application-centric to data-centric

AI’s Defining Moment: From Hype to Lasting Impact with Connected Data

The biggest cybersecurity graph in the world

The Neural-Symbolic Loop: Lessons from the Front Line of Enterprise AI

Knowledge Platforms at S&P Global

Creation, Population and Enrichment of Knowledge Graphs with the Help of AI

Model Once, Represent Everywhere: UDA (Unified Data Architecture) at Netflix

Knowing and doing: Knowledge graphs, AI, and work in contemporary IT organizations

The State of Graph in 2025: Categories, Use Cases, and Trends

Scaling knowledge graphs and knowledge-based AI in the financial crime and KYC domain

Beyond Technology: The Human blueprint for building an Enterprise Knowledge Graph

Beyond Chunking: SQL2Graph + Unstructured2Graph + MCP Client to Ship Explainable GraphRAG

Benchmarking GraphRAG - how do you measure benefit?

Knowledge Graphs in 2025 - from zero to mastery: Adoption, Implementation & AI Integration

From Pipelines to Knowledge: What Data Engineers & Governance Professionals Must Know About Knowledge Graphs

Knowledge Infrastructures and the Ontology Pipeline for AI Systems

Climbing the Knowledge Pyramid: How AstraZeneca's Operations Knowledge Fabric Transforms Pharma Operations Through Connected Data

Crafting RDF - Generating Knowledge Graphs from Legacy Data

GraphRAG to RDF: Semantic Evolution of LPG Knowledge Graphs

Vodafone's Journey: Semantic models in action

Building Temporal Intelligence into Knowledge Graphs

Innovation in Graph Databases and High-Performance Graph Engines: Adoption, Trends, and Getting Started

Semantic Data Products and industrial / AI applications at Zeiss

All Data in one EKG, and one EKG for all Use Cases? A case for building a hybrid graph landscape

Knowledge graphs to foster natural language access to enterprise systems

Compass - How National Highways is using knowledge graphs to achieve shared meaning

Fixed Entity Architecture and Cypherouting: GraphRAG made uncomplicated and nearly LLM-free

Knowledge at the Fingertips for Field Service Engineers: Showcasing a business-oriented combination of knowledge graphs and large language models

Building a value-driven Enterprise Knowledge Graph: from foundations to adoption

When Data Vault Meets Ontologies: The Perfect Match for Building and Evolving Knowledge Graphs in Distributed Environments

Testimonials

Schedule

Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs

GraphRAG for Exploring Heterogeneous Medical Knowledge

Graphs in the Real World: Modelling for Complex Enterprises

SHACL: Building Flexible Schemas For Knowledge Graphs

Understand relationships in your data with Knowledge Graphs

Collaborative Information Exchange Environments using NIEMOpen with Ontologies and Knowledge Graphs

Breaking Supply Chain Reactions: Graphs vs. Tariffs & Risks

Intelligent Data for Life Sciences - Beyond the Hype, how Tailored Graph-AI Solutions Change the Game

Creating RDF Knowledge Graphs from structured data using mapping languages

Text, Images, and Audio for Multimodal Intelligence in GraphRAG

Combine Knowledge Graphs and LLMs to speed up criminal network analysis: A hands-on tour

Mastering maplib - a groundbreaking RDF framework for Python

Demystifying Knowledge Graphs, Semantic Technologies and Labelled Property Graphs: A Beginners Hands-On Exploration for making the right choice

Ontology is not a trademark of RDF: LEX schemas for property graphs

What Your AI is Allowed to Know: Identity and Graphs in AI Security