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The most sought-after products don’t just appear on shelves—they arrive at the perfect moment, in perfect condition, thanks to data that works as fast as the business moves.

From premium meats to peak-season produce, Morrisons, one of the UK’s largest retailers, is building a future where shelves are stocked with exactly what customers want, when they want it.

In this session, Peter Laflin, Chief Data Officer at Morrisons, joins Striim to share how real-time data streaming into Google Cloud enables smarter, faster, and more autonomous retail operations. He’ll unpack how Morrisons is moving beyond predictive models to build AI-native, agentic systems that can sense, decide, and act at scale. Topics include:

Live store operations that respond instantly to real-world signals

AI architectures that move from “data-informed” to “data-delegated” decisions

Practical lessons from embedding real-time thinking across teams and tech stacks

This is a session for retail and data leaders who are ready to move beyond dashboards and start building intelligent systems that deliver both customer delight and operational agility.

AI, Data, and Code – Let’s Talk!

Join us for an engaging evening of learning, networking, and discussions on AI, data, and coding at PyData Bradford! Whether you're a data enthusiast, AI practitioner, or coding beginner, this meetup is the perfect place to connect with like-minded individuals, share insights, and grow in the field.

📅 Date: 21st March ⏰ Time: 5:00 PM 📍 Venue: Morrisons, Students' Central, University of Bradford

Expect exciting conversations, knowledge sharing, and of course—pizza!

🔹 Why Attend? ✅ Meet and connect with fellow AI, data, and tech enthusiasts ✅ Share and discuss innovative ideas

Don’t miss out! Bring your curiosity and join the conversation.

Morrisons are driving business transformation with data, in part through near real-time ingestion of disparate datasets, which enable centralised critical actionable data within Google Cloud, but also operationally, by focussing on outcome driven data teams. Learn how being data driven is challenging, how data volume can be problematic, but also how the benefits of available live data enable success and aid future business growth.