Building the foundations for composable IT transformation

Sessions in rooms

Case study: Beyond the Big Bang: Spark New Zealand's journey to composable IT

• Modernizing a monolithic IT estate through a composable, microservices-based architecture that accelerates service innovation 
• Applying composability as both an architectural approach and an operating model spanning technology, governance and organizational change 
• Reducing transformation risk by modernizing IT incrementally rather than through a disruptive "big bang" migration 
• Sharing practical lessons learned from building a more agile, scalable and future-ready telecom IT environment

Nilay Rathod, General Manager - Group Architecture and IT, Spark New Zealand        
Nishi Mathur, Associate Vice President - Telco Architect, Infosys

Case study: Building composable enterprise applications for agility

• Decomposin complex enterprise applications into well-defined, reusable, and loosely coupled components to accelerate delivery and simplify maintenance
• Leveraging Domain-Driven Design (DDD), API-first principles, and event-driven architecture to build scalable, flexible, and composable enterprise solutions
• Determining when to adopt a modular monolith, microservices, or hybrid architecture based on business priorities, scalability requirements, and technical complexity
• Establishing effective dependency management and team collaboration practices to enable faster development and independent delivery
• Designing applications for cloud-native evolution, enabling organizations to adapt rapidly to changing business requirements, emerging technologies, and evolving customer needs
• Building a foundation for enterprise agility, continuous innovation, and long-term architectural sustainability

Dr. Gaurav Kumar Gupta, Principal Solution Architect, Allianz Technology

Presentation: Composable by Design: An open-source blueprint for a technology autonomous entity

• Why CSPs need clearly defined technology entities rather than today’s “big ball of mud” architectures
• How autonomous entity boundaries can bring the same clarity internally that already exists with partners, suppliers, regulators and customers
• How to build an entity architecture using agents, curators and workers within a defined technology boundary
• How diffo_cortex provides the reasoning and memory layer, underpinned by JPED data models
• A live example of a Technology Autonomous Entity delivering Timing-as-a-Service using TM Forum’s extensible NaaS standards

Matt Beanland, Custodian, Diffo-Development  

Panel: How AI can transform BSS/OSS

• Where is AI already delivering measurable value across the BSS/OSS lifecycle and where is the industry still struggling to move beyond pilots? 
• What architectural changes are needed to make these platforms truly AI-ready? 
• Are today's API-first, event-driven and composable architectures sufficient, or do they need to evolve further? 
• How should operators balance deterministic business logic with AI-driven reasoning? 
• Which BSS/OSS functions should remain rules-based, and where can AI safely automate decision-making without compromising governance, accuracy or customer trust? 
• Does AI strengthen the case for modular BSS/OSS platforms, or does it make integrated suites more attractive by simplifying orchestration and reducing operational complexity? 
• What will distinguish an AI-native BSS/OSS platform from today's systems, and what investments should operators be prioritizing now to avoid creating the next generation of technical debt?

Richard Doughty, Business Development Director, Cerillion