Aimee Reed
Employers on the program
- 2025Metropolitan Police Service2 talks
Appearances by year
- Big Data LDN
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 24, 2025 | Big Data LDN 2025 | Big Data LDN | speaker | From Tools to Collaborators: Shaping a Successful Team Culture for Agentic AI as Metropolitan Police Service Agentic AI is developing fast. Agents are not just a tool; they are learning, adapting, and making decisions alongside us. Integrating Agents into teams is not…Show lessAgentic AI is developing fast. Agents are not just a tool; they are learning, adapting, and making decisions alongside us. Integrating Agents into teams is not just a technical challenge, it’s a cultural one. Teams need the space to experiment, the confidence to trust AI where it helps, and the right conditions to learn together. When adoption is thoughtful and inclusive, agentic AI can become a powerful extension of how teams think, decide, and deliver. | |
| Sep 24, 2025 | Big Data LDN 2025 | Big Data LDN | speaker | When Data Fails Women: The Uncomfortable Truth About Safety and Harm as Metropolitan Police Service “Data for Good” is about gathering insight, revealing injustice, and driving change. But what happens when the data we need most is missing - not because it’s…Show less“Data for Good” is about gathering insight, revealing injustice, and driving change. But what happens when the data we need most is missing - not because it’s hard to collect, but because it’s hard to face? This talk explores the uncomfortable truth behind the Women’s Safety: that data on women’s safety - relating to male violence - is often absent not for technical reasons, but because it’s emotionally and socially fraught. Even among women working in data - people who understand the value of data and live with the reality of gendered harm - many chose not to complete the project’s survey. Their silence wasn’t apathy. It was a response to exhaustion, self-protection, and the emotional cost of revisiting experiences that are personal, painful, and too often ignored. This session doesn’t ask how to collect more data. It asks how to make space for what’s already known but rarely spoken. How to recognise silence as meaningful. And how to place the responsibility for change on the institutions that are there to protect rather than the women who live the hidden reality. What does it mean to do “data for good” when some truths stay silent? Powered by Women in Data® |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Elisa Sai | 1 | 1 | 2025 |
| Emily Ball | 1 | 1 | 2025 |
| Holly Armitage | 1 | 1 | 2025 |
| Mel Fullbrook | 1 | 1 | 2025 |
| Morgan Rees | 1 | 1 | 2025 |
| Sian Thomas | 1 | 1 | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.