CONFERENCE DAY 1
Early Morning Sessions
8:00 am - 8:45 am
Registration & Coffee
8:45 am - 9:00 am
Opening Remarks
9:00 am - 9:30 am
Opening Panel: Executive Observability Strategy: Decisions, Trade offs, and Direction
Jayashankar Rudrachar -
Head of Observability Engineering,
TIAA
Ruben Vilhena - Head of Software Development, Smartest Energy
Marta Lima - Engineering Lead for Observability, Wise
9:30 am - 10:00 am
Presentation: Mission 40: Reducing Operational Toil and Rebuilding Reliability at Pfizer
Fuat Müminoğlu -
Hosting SRE Operations Director,
Pfizer
Pfizer's SRE teams faced rising complexity, constant interruptions, and high reliability expectations across research, manufacturing, and enterprise systems. Mission 40 tackled this head-on, aiming to cut operational workload by 40% across multiple teams while also migrating away from a costly vendor low-code platform to in-house automation. With 18 years of experience, Fuat Müminoğlu takes you inside the strategy, mindset, and execution that made this possible in just one year. Learn how careful prioritisation, multi-team collaboration, and targeted automation turned a massive challenge into clear, measurable impact, including the creation of a Continuous Improvement engine that scaled Mission 40's practices across the organization.
10:00 am - 10:30 am
Presentation: SRE as an Operating Model: Embedding Reliability Across the Business with AI
Jayashankar Rudrachar -
Head of Observability Engineering,
TIAA
SRE is often introduced as a standalone team, yet reliability gains stall when it isn't embedded into everyday operations. In this session, Jay Rudrachaar explores how organisations can build SRE into the fabric of their business. Drawing on his work in global operations and AI driven observability at TIAA, Jay shows how the right operating model, shared ownership, and AI assisted tooling can shift teams from reactive incident response to prediction and prevention.
10:30 am - 11:00 am
Morning Coffee Break
Late Morning Sessions
As AI tools spread across the enterprise, ITV's platform engineering team faced a familiar challenge: high potential value, but real risk around visibility, governance, and liability. Tom has been leading the build of ITV's new AI Agent Hub - an MVP now in controlled testing - designed to give teams a single, ITV-tailored place to access approved assistants, accelerate day-to-day work, and reduce "dark AI" usage. Powered by the platform foundations ITV has laid across Kubernetes, shared templates, and OpenTelemetry, the hub aims to make AI adoption traceable by default, so the organisation can confidently scale usage while protecting content, users, and the business.
Marius Zaharia - Cloud Tech Lead, Societe Generale
Most organisations adopt SRE principles without adopting the "classic" model - and that's often the right call. The challenge is avoiding confusion, bottlenecks, and "SRE as the dumping ground" by agreeing what SRE is there to enable.
Lunch
12:30 pm - 1:30 pm
Lunch
Early Afternoon Sessions
Andy Slater - Lead on Automation & Observability, Specsavers
Rajasree Ramakrishnan - Product Lead - Agentic Observability, Lloyds Bank
Vinaya Bharathi - Senior Observability Specialist, Pandora
As systems become more distributed and change happens faster, "more dashboards" doesn't equal better reliability. The real shift is organisational: who owns signals, how teams respond, and how observability drives prioritisation rather than noise.
Vincent Morel - Principal DevOps Engineer, AI Platform, Schneider Electric
AI agents and LLMs are moving fast from experiments into everyday engineering, but most platforms were never built to support them at scale. Vincent Morel and Julien Tamisier take an inside look at how engineering systems must evolve as Schneider Electric builds an AI Platform for internal functions and business line use cases, while increasingly applying the same patterns and tools to develop the platform itself. From standardisation and developer workflows to AI-specific observability and session insights, this session shows how Schneider Electric is reshaping its platform so AI works reliably, visibly, and usefully across teams.
• Evolving engineering platforms to support AI workloads by embedding standards, guardrails, and observability by default
• Observing LLMs and agents through specialised telemetry, session data, and AI-focused SLI/SLOs
• Enabling developers to use AI confidently in everyday workflows without losing visibility or control, while feeding those learnings back into the platform itself
Late Afternoon Sessions
3:30 pm - 4:00 pm
Panel Discussion: AI in Engineering Work: Productivity Boost or Reliability Risk?
Andy McMahon -
Director - Principal AI & MLOps Engineer,
Barclays
Fuat Müminoğlu - Hosting SRE Operations Director, Pfizer
Julien Tamisier - AI Platform Engineering Director, Schneider Electric
4:00 pm - 4:30 pm
Greening SRE: Turning Observability, Efficiency and AI into Sustainable Engineering
Ruben Vilhena -
Head of Software Development,
Smartest Energy
4:30 pm - 5:00 pm
From Black Box to Glass Box: The Observability Blueprint Behind Barclays' AI Agents
Andy McMahon -
Director - Principal AI & MLOps Engineer,
Barclays
As Barclays expands the use of AI agents across its internal platforms, observability is becoming the foundation that turns experimentation into safe, scalable capability. By embedding observability into the architecture from day one and working in lockstep with security and engineering governance, Andy's team can monitor how agents behave, what data they touch, and where usability gaps emerge in real time. This deeper visibility is enabling the bank to boost productivity and respond to issues faster in a rapidly evolving AI landscape, all while maintaining compliance.
