Building Self Healing Pipelines

This session will introduce the core ideas behind systems that can detect problems and recover automatically, without requiring constant human intervention. Rather than diving into complex implementation details, this session focuses on how to think about self-healing systems and why they matter in modern software.

The talk explores the journey from traditional monitoring and manual fixes to intelligent pipelines that observe system behavior, identify when something is going wrong, and trigger safe recovery actions. Using simple examples and real-world analogies, attendees will learn how concepts like observability, automation, and intelligent decision-making work together to improve reliability and trust in software systems.

This session is designed to help engineers, students, and technology leaders build a strong mental model of self-healing pipelines, understand common misconceptions, and see how these ideas can be introduced gradually as systems grow.

Key takeaways:

1. What “self-healing” means in modern software systems
2. Why designing for failure is essential
3. Core building blocks of a self-healing pipeline
4. How organisations can evolve toward resilience over time

A Unified Multimodal Deep Learning Architecture for Crossmodal Deep Learning Architecture

A Poster presentation focused on the contribution of new architectural framework on how to improve the quality of decisions produced by Multimodal systems. The research was presented at the Multimodal Workshop in London.

The research sparked conversations from researchers, professors and industry professional

4th Multimodal AI Workshop: https://multimodalai.github.io/multimodalai26/accepted-abstracts/

From Reactive to Resilient: Using AI/ML to Build Self-Healing Deployment Pipelines

Modern engineering teams spend too much time reacting, firefighting failed deployments, debugging unstable releases, and managing avoidable incidents. But what if our systems could detect, respond, and recover automatically?
In this talk, we’ll explore how AI/ML can transform traditional CI/CD pipelines into self-healing systems that proactively detect anomalies, predict failures, and trigger intelligent remediation. Rather than adding complexity, we’ll focus on practical, production-ready patterns using cloud-native tooling and ML-driven monitoring to improve reliability without over-engineering.

Beyond the technical architecture, we’ll examine the human impact: reducing operational burnout, improving release confidence, and enabling teams to build sustainably at scale.

Attendees will leave with:
1. A clear mental model of self-healing systems
2. Real-world design patterns for AI/ML-assisted reliability
3. Practical guidance for implementing resilience in modern cloud environments
Because resilience isn’t just about uptime, it’s about building systems that support the people behind them.

PyData MCR: https://www.linkedin.com/posts/pydatamcr_pydatamcr-april-thu-apr-16-2026-600-activity-7446852652891529216-8tIX?utm_source=share&utm_medium=member_desktop&rcm=ACoAACTm7LgBRdm5N-Uq3PB72s0SX5PZTVay6XU

Smart Features, Slower Apps: Lessons from Integrating AI in the frontend

AI-powered features are rapidly becoming a standard expectation in modern applications but integrating them into frontend experiences introduces a new class of engineering and UX challenges. From increased latency and streaming complexity to unpredictable responses and overloaded interfaces, many “smart” features quietly make applications feel slower and less enjoyable to use.

In this talk, we’ll explore the real-world lessons learned from shipping AI-powered frontend experiences in production. We’ll examine the hidden trade-offs behind AI integrations, why responsiveness often matters more than intelligence, and how frontend architecture must evolve to support probabilistic, long-running interactions.

The session will cover practical strategies for handling streaming responses, managing UI state, reducing perceived latency, structuring frontend/backend responsibilities, and building resilient user experiences around AI systems.

Attendees will leave with a clearer understanding of how to design AI-powered applications that feel fast, responsive, and reliable without sacrificing user experience in the process.

DevelopersUpNorth 2026: https://www.developersupnorth.co.uk/