About us
Powered by ecosystem.Ai. This Meetup brings together business leaders, data scientists, and technologists to explore the forefront of AI, [behavioral] interaction science, and real-time predictive technologies.
Each week, we dive into actionable insights and innovations, from AI-driven customer engagement to cutting-edge machine learning tools. Whether you're driving business value, advancing data solutions, or shaping technology, this space is for collaboration, inspiration, and leading the future of intelligent systems. Join us and be part of the conversation shaping tomorrow.
Upcoming events
8
How Behavioral Messaging Improves Customer Re-Engagement
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Generic marketing campaigns often fail to re-engage customers or drive meaningful action. In this session, we explore how behavioral insights and predictive models can identify loyalty members at risk of churn and deliver targeted messaging that encourages customers to return.
We’ll discuss how behaviorally informed SMS campaigns can be deployed through the ecosystem.Ai Prediction Platform to test messaging effectiveness, improve customer engagement, and generate measurable uplift.
43 attendees
Inside the Latest Platform and Runtime Updates
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In this session, Eric, our Head of Product, unpacks the latest platform and runtime updates, focusing on what’s changed and why it matters. We’ll walk through the latest version upgrades, including new functionality, bug fixes, and performance improvements. From resolving JSON formatting issues in Dynamic Recommenders to preventing overlapping learning iterations, this is a practical look at how these updates affect real deployments. Expect a clear breakdown of how the runtime supports predictor lifecycle management and real-time performance.
8 attendees
How to Keep Full Stack Apps Consistent Across Environments
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This webinar will be a hands-on, demo-led discussion on what it actually takes to generate a full-stack application that is deployable (without modification) across multiple infrastructure targets from a single architectural specification. We will cover environment parity, secrets management, containerisation strategy, cloud provider abstraction, and GitHub integration as architectural concerns rather than DevOps afterthoughts.
9 attendees
How Layered Models Drive Smarter Decisions
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Most AI systems aren’t built as single models, but as layers that evolve in complexity, speed, and decision-making ability. In this session, we unpack how algorithms operate across these layers, from static inference to adaptive, real-time systems.
We’ll explore how each layer introduces new data constraints and latency considerations, and how they connect into a continuous feedback loop. Expect a practical discussion that clarifies how layered architectures shape smarter, more responsive AI systems.
3 attendees
Past events
217
