AI in the Wild #1: Proving AI Actually Works
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About this event
Upstairs at the The Perseverance, 63 Lamb's Conduit St, London WC1N 3NB
The first AI in the Wild. An evening about what applying AI actually looks like in a real business.
Two questions run through this session. How do you run an AI proof of concept that actually proves something? And what does it really take to build an AI tool that marketers would use and drives measurable value?
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.
Should you buy an AI tool or build your own?
What actually tips the balance either way, and what it costs to get it wrong.
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.
Automating the annoying parts of your job
Cross-platform reporting, data cleansing and competitive monitoring. What can realistically be handed over to AI tools.
Agenda
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
Who this isn't for
We are not an engineering or machine-learning meet-up. If you want to go deep on model architecture, engineering or building AI systems from the ground up, there are excellent London groups for that, and we would happily point you towards them.
Our focus is the commercial application layer: what to do with AI, not how to build it.
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