Royal London
Also listed as 1 other name
Royal London Asset Management
Circuit mix
Where Royal London shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Enterprise, analyst & AI expos80%4 events
- Python & R data science20%1 event
The year around now
Conferences where Royal London sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| Big Data LDN | ||||||||
| CDAO (Chief Data & Analytics Officer) Summits | ||||||||
| Data Decoded | ||||||||
| EARL (Enterprise Applications of the R Language) |
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Where they've grown or pulled back
Royal London has never sponsored a tracked conference, so this follows where its speakers appear instead.
UpHad speakers at 2 conferences in 2026, up from 1 in 2025.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.
New conferences spoken at 3
First speaker in 2025 or later.
- Big Data LDNfirst spoke 2025, 1 speaker
- CDAO (Chief Data & Analytics Officer) Summitsfirst spoke 2027, 1 speaker
- Data Decodedfirst spoke 2026, 1 speaker
No longer seen 1
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- EARL (Enterprise Applications of the R Language)last seen 2019; the conference ran again with speaker lists in 2020–22 and 2024–26
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Autotrader1.00
- Admiral0.91
- Department for Education0.79
- General Assembly0.78
- Sky0.78
- CarMax0.78
- SelectZero0.77
- SecuPi0.77
5 Cluster: CDAO (Chief Data & Analytics Officer) Summits · Data Innovation Summit circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 0 this company sponsored).
No co-sponsors: this company has no recorded sponsorships, or sponsored alone.
Neighborhood: companies with nearby conference footprints
Royal London (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
- CDAO (Chief Data & Analytics Officer) Summits · Data Innovation Summit circuit 19
- Big Data & AI Paris · Gartner Data & Analytics Summit circuit 5
- Snowflake Summit · Coalesce circuit 4
- AWS re:Invent · Google Cloud Next circuit 2
- MIT CDOIQ Symposium · Data Governance & Information Quality Conference circuit 1
Sponsorships 0
No sponsorships recorded for Royal London.
Speakers 6
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Rob Middleton | CDAO UK 2027 | keynote | Closing Keynote | Beyond the data office: Who leads enterprise transformation in the AI era? | — |
| Liji Saji | Data Decoded MCR 2026 | panelist | Panel: The Culture Advantage That Drives High Performing Data Teams | — |
| Anselma Foxton | Big Data LDN 2026 | speaker | Building Trust at Scale: How Strong Data Products and Data Fabric Accelerate Engineering & Data Science Effectiveness | — |
| Yves Hobbah Niamkey | Big Data LDN 2026 | speaker | Bringing AI to Business Users: How RLAM Combines Snowflake Cortex and Sigma to Deliver Intelligent Analytics | — |
| Gosia Paterson | Big Data LDN 2025 | speaker | Levelling the Playing Field? The Promise and Peril of AI in Recruitment | — |
| Gwilym Morrison | EARL London 2019 | talk | From Data to Deployment: overcoming the challenges of embedding R models in Production | — |