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Event

#1 - London - Data & Agentic AI in Financial Services - Brainstation

2025-12-04 – 2025-12-04 Meetup Visit website ↗

Activities tracked

2

We are delighted to host our 1st event on Thursday, the 4th of December, in London in partnership with Brainstation. This event will focus on Data and AI in Financial Services.

Speakers and Talks:

Speaker: Frank Contrepois Session Title: The Real Superpower of AI Isn't Technical — It's Contextual Session Description: We admire LLMs for speed and quality, but technology alone doesn’t differentiate. Context does. Generic tools solve generic problems; your cloud infrastructure, cost models, and optimization workflows are specific to your organisation. This talk shows how AI, tuned to your context, delivers value that used to require bespoke development. Unlike static tools or dedicated teams, AI evolves with your environment in real time, both a blessing and a curse for the needs of Financial Services.

Speaker: Stephen Toriola - Software & AI Engineer, Compare the Market Session Title: AI Agents in 2025: Beyond Chatbots to Autonomous Workflows Session Details: This talk explores AI agents as the next step beyond prompt‑by‑prompt assistants. Modern AI agents use large language models plus planning, tool‑calling, and memory to execute multi‑step workflows, not just answer isolated questions. The session explains, in accessible terms, what makes something an “agent” rather than a simple chatbot: the ability to decompose tasks, call APIs or tools, and maintain context over time. It then surveys real use cases, from automating repetitive knowledge‑work tasks to orchestrating complex enterprise workflows that blend human decisions with autonomous actions. For the technical audience, the talk briefly outlines typical agent architectures and how they integrate with RAG, vector search, and existing backend services. For everyone else, it focuses on capabilities, limitations, and where AI agents are realistically being used in 2025. Attendees will understand what AI agents can and cannot do today, and how they differ from the hype.

Agenda:

  • 17:55 - Arrivals and Networking 18:25 - Welcome and introductions 18:30 - Frank Contrepois
  • 18:55 - Break 19:10 - Stephen Toriola 19:55 - Close 20:00 - Venue closes

Sponsors: We want to thank Brainstation for sponsoring and supporting this event.

If you'd like to speak, sponsor, or host us. Please get via LinkedIn:

Sessions & talks

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AI Agents in 2025: Beyond Chatbots to Autonomous Workflows

2025-12-04
talk
Stephen Toriola (Compare the Market)

This talk explores AI agents as the next step beyond prompt‑by‑prompt assistants. Modern AI agents use large language models plus planning, tool‑calling, and memory to execute multi‑step workflows, not just answer isolated questions. The session explains, in accessible terms, what makes something an “agent” rather than a simple chatbot: the ability to decompose tasks, call APIs or tools, and maintain context over time. It then surveys real use cases, from automating repetitive knowledge‑work tasks to orchestrating complex enterprise workflows that blend human decisions with autonomous actions. For the technical audience, the talk briefly outlines typical agent architectures and how they integrate with RAG, vector search, and existing backend services. For everyone else, it focuses on capabilities, limitations, and where AI agents are realistically being used in 2025. Attendees will understand what AI agents can and cannot do today, and how they differ from the hype.

The Real Superpower of AI Isn't Technical — It's Contextual

2025-12-04
talk

We admire LLMs for speed and quality, but technology alone doesn’t differentiate. Context does. Generic tools solve generic problems; your cloud infrastructure, cost models, and optimization workflows are specific to your organisation. This talk shows how AI, tuned to your context, delivers value that used to require bespoke development. Unlike static tools or dedicated teams, AI evolves with your environment in real time, both a blessing and a curse for the needs of Financial Services.