See you at Manchester's Depot Mayfield on Thursday 6 October
Best known as the home of Manchester’s iconic Warehouse Project, Depot Mayfield is opening its doors to data teams, engineers and decision makers for AltitudeX, the global AI summit.
This year's topics include…
Data vs. uncertainty
Explore how senior leaders use data to make great decisions and embrace change in an increasingly uncertain world.
AI: Hype or reality?
This year we explore the reasons businesses resist AI and how they can move from hype to reality.
Hear from CEOs, commercial and leaders, data scientists, architects and engineers discussing every aspect of successful AI integration.
Learn how businesses across industries work with data to deliver against their business goals.
Meet some of your 2022 speakers
See you at Depot Mayfield, Manchester
- Where and when
- Thursday 6 October
- 09:00 – 17:30
- Depot Mayfield, 11 Baring Street, Manchester, M1 2PY
- Registration from: 08:00
- Opening remarks: 09:45
- Close: 17:30
- Feel free to carry on the party at Freight Island from 18:00 onwards!
AltitudeX MCR 22 is proudly sponsored by…
And lots more to explore at AltitudeX…
Street food market
Refuel, with street food vendors offering a delicious lunch.
With a phone charging station and space to work or catch up with contacts.
Take a break from the hustle and bustle with massages, a coloring wall, and quiet area.
How to find us
Depot Mayfield is just eight minutes’ walk from Manchester Piccadilly station. It can be most easily reached by exiting the train station via the taxi rank (downstairs).
More than just inspiration
Join us at AltitudeX MCR and enjoy three stages of content that include insightful talks from leaders in data science, market experts, commercial leaders and practical workshops – not to mention the huge celebration afterwards! We'll be answering questions like…
What’s the most efficient data stack for my business in 2022?
What’s the quickest path to value for my data?
How do data professionals collaborate effectively with other stakeholders?
How do I avoid bias in data?
How can I stay in control with AI?
Where do I start with AI?
What are other businesses like mine doing with AI?
How can I work with disparate and siloed data?