AI in the Wild Brighton #1: practical AI for marketing and sales

The first AI in the Wild Brighton meetup.

The event's premise is pretty simple. We're interested in talks about what implementing AI actually looks like in a real business and how marketing can use AI to deliver better marketing

The good, the bad, and the ugly: we're not just interested in the shiny outcome; we want to learn about the mistakes, the things you learnt from failing and what you did to achieve success.

Agenda:

• Why most AI pilots fail (and the ones that don't)

How to scope a proof of concept, define success before you start, and prove commercial impact rather than a good demo.

• Where to start: How to get your first AI project right

Your first AI project is exciting, but setting it up for success is critical. In this session, we’ll look at how to choose the right opportunity, how to measure success, assess your data and processes, build the right team, and move from idea to a practical MVP. We’ll also cover the common pitfalls: from starting with the technology rather than the problem, to underestimating data quality, governance, integration and change management - and how to build something that delivers measurable value rather than becoming another AI Pilot failure.

• Your new AI campaign analyst

A live demo of a tool that turns campaign data into insight, plus an honest account of what went wrong building it.

• Rise of the agentic workforce

From:, cross-platform reporting, data cleansing and competitive monitoring. What can realistically be handed over to AI tools.

Timings:
18:00 Arrive, food
18:30 Introductions
18:40 Talk one
19:10 Talk two
19:40 Talk three
20:00 Drinks and conversation
20:30 Close

Who this is for

AI in the Wild is for people in marketing and the commercial functions around it, the people expected to turn AI into revenue, efficiency or a better customer experience.

You will feel at home here if you work in:

• Marketing (brand, demand generation, digital, content, campaigns)
• CRM, lifecycle and customer marketing
• Ecommerce and digital commerce
• Sales and revenue operations
• Customer experience and service
• Data and analytics in a commercial context
• Business owners and leaders responsible for growth