CONFERENCE DAY 2
Early Morning Sessions
8:45 am - 9:00 am
Opening Chair Remarks
9:00 am - 9:30 am
Presentation: From Spark to System: Operationalising Agentic AI in a Regulated, Real Time World
Federico Vrljicak -
Vice President of Technology,
Mastercard
As financial systems accelerate and modernize, the real breakthrough isn't whether AI can help, it's how fast you can trust autonomous agents with real operational decisions. Recently, Agentic AI has become a powerful force inside Mastercard's observability and reliability strategy, driving faster adaptation and transforming incident response. Federico deep dives on how to make agents work in the real world across fragmented data, strict regulation, and ultra low latency environments.
9:30 am - 10:00 am
Presentation: From Legacy to Self Service: Building SRE Capability in a Regulated Enterprise
Tim Sutton -
Cloud Tech Lead,
DLA Piper
10:00 am - 10:30 am
Panel Discussion: Reliability Under Constraints: Legacy, Regulation, and Global Complexity
Michael Hutcheson -
Observability Product Manager,
JPMorgan Chase & Co
Frank Adu - Principal Security Engineer, Nokia
Marius Zaharia - Cloud Tech Lead, Societe Generale
Morning Break
10:30 am - 11:00 am
Morning Coffee Break
Late Morning Sessions
Stream A: Observability & SRE
11:00 am - 11:30 am Presentation: The Most Expensive Question in Incident Management: "Who Knows This?"Payments don't pause while 90 people pile onto a bridge to work out who owns a failure. Traditional L1 triage is an expensive bottleneck which consumes valuable engineering capacity where operations and engineers piece together what happened, who is affected, and who needs to respond. Meanwhile, customers are feeling the impact.
We're using AI to change that: turning observability data, operational knowledge, and business context into actionable incident intelligence before the bridge even starts.
- Ending the guessing game: Using AI to map service dependencies, identify affected customers, and establish the likely blast radius in seconds
- Replacing the bridge: Bringing together telemetry, historical incidents, ownership, and operational knowledge to give responders evidence-based hypotheses and get the incident to the right team faster
- Making expertise scalable: Reducing our dependence on tribal knowledge and individual muscle memory by turning years of operational experience into intelligence
- Proving the business value: Reducing MTTI and MTTR, minimising unnecessary incident mobilisation, and giving leaders earlier visibility of customer and revenue impact
This isn't about replacing the people who know how to fix incidents. It's about making sure we only need to call them when they're actually needed.
Stream A: Observability & SRE
11:30 am - 12:00 pm Presentation: Observability with Intent - Turning Telemetry into Business Confidence at Pandora Vinaya Bharathi - Senior Observability Specialist, Pandora
Stream A: Observability & SRE
12:00 pm - 12:30 pm Panel Discussion: Standardisation vs Freedom: How Much "Platform" Should Observability Be? Mark Tucker - Product Manager, ITVThomas Barnes - Head of Observability, Global Payments
Parthiban Rajasekaran - Principal Engineer, Capital One
Standardisation accelerates teams when it removes friction - but over-centralisation creates bottlenecks. The goal is consistent telemetry and governance without preventing teams from shipping.
Stream B: Roundtables
11:00 am - 12:00 pm Roundtable Discussion: Is Your Platform Ready for AI — Or Just Exposing Its Weaknesses? Uğur Başak - Director of Engineering, TomTom
Lunch
12:30 pm - 1:30 pm
Lunch
Eraly Afternoon Sessions
Stream A: Observability & SRE
1:30 pm - 2:00 pm Presentation: Owning the Stack: Building an Internal Observability Platform using open source Marta Lima - Engineering Lead for Observability, WiseRunning observability in house isn't the easy choice — it's the bold one. Explore how Marta's team built an entire observability platform using open-source projects, battling scalability challenges, data complexity, team structure, costs, and tough security rules head on. With OTEL and the LGTM stack as their backbone, they're proving that owning your stack unlocks flexibility, accountability, and real engineering power.
Stream A: Observability & SRE
2:00 pm - 2:30 pm Presentation: OTel Me More: Dunelm's Journey to OpenTelemetry Dan Herd - Principal Site Reliability Engineer, DunelmDunelm operates 200+ stores, a fast growing e commerce site, and high traffic mobile apps, so diagnosing issues across systems was anything but straightforward. With inconsistent instrumentation, patchy visibility, and rising observability costs, something had to change. Dan Herd shares how Dunelm tackled the chaos by embracing OpenTelemetry end to end and building a custom service that transforms CDN logs into spans, giving the business a clean, connected view from front end to back end and how adopting a true product mindset helped win over engineering teams.
Stream A: Observability & SRE
2:30 pm - 3:00 pm Presentation: Stop Treating AI Like Magic Infrastructure Uğur Başak - Director of Engineering, TomTomStream B: Roundtables
1:30 pm - 2:30 pm Roundtable Discussion: Scaling Self Service Without Losing ControlAfternoon Coffee Break
3:00 pm - 3:30 pm
Afternoon Coffee Break
Late Afternoon Sessions
3:30 pm - 4:00 pm
Presentation: Observing the Agents: Supporting High Risk Agentic AI Use Cases at Enterprise Scale
Rajasree Ramakrishnan -
Product Lead - Agentic Observability,
Lloyds Bank
4:00 pm - 4:30 pm
Presentation: Smarter, Safer, Faster: Inside Nokia's AI Infused Observability and Security Platform
Frank Adu -
Principal Security Engineer,
Nokia
Observability has become mission critical at Nokia, where cloud native teams, strict regional controls and decades old legacy systems all need to operate with the same level of reliability and security. Drawing on more than 20 years of hands on experience, Frank Adu has been instrumental in building a unified observability approach that weaves together reliability, security monitoring and AI assisted analysis. Nokia employing several strategies such as automation, cutting alert noise with correlation intelligence, and using in house LLMs to help teams identify real issues faster across a regulated global environment.
