TechEx Roundtables

Preparing Enterprise Platforms for AI at Scale: Explore how organisations can prepare their platforms for growing AI demand, addressing integration, infrastructure capacity, performance and operational complexity.

Scaling AI Beyond Isolated Use Cases: What does it take to move AI beyond individual pilots? Discuss shared capabilities, operating models and integration approaches that support adoption across the enterprise.

From AI Assistants to Governed Agents: As AI moves from providing answers to taking action, how should organisations define its authority? Explore permissions, accountability and human oversight for enterprise agents.

Powering Data Centres When the Grid Cannot Keep Up: Discuss how data-centre operators can respond to grid constraints, secure reliable power and plan for growing demand without compromising resilience.

Robotics: What Is Ready for Enterprise Deployment?: Cut through the demonstrations and identify which robotic technologies are ready for operational deployment, where they can deliver value and what barriers remain.

Cyber Resilience: Are Enterprises Preparing for the Right Threats?: Discuss whether current resilience plans reflect the threats organisations now face and how security, recovery and operational teams can prepare for disruption.

Edge AI: What Should Run at the Edge and What Belongs in the Cloud?: Explore how organisations should divide AI workloads between edge devices, on-premise infrastructure and the cloud, balancing speed, cost, security and performance.

Proving the Value of Enterprise AI: Compare practical approaches to measuring AI’s impact on productivity, costs and business outcomes, accounting for adoption levels and the ongoing economics of usage.

Making AI-Led Analysis Trustworthy and Reproducible: How can teams trust and validate AI-generated analysis? Explore traceability, reproducibility and the checks needed to turn analytical outputs into dependable business decisions.

Where Should Customer-Service AI Agents Be Given Autonomy?: Which customer interactions should AI agents handle independently? Discuss boundaries, escalation and how to balance service efficiency with customer trust and experience.

Building Enterprise Applications for an Agentic Future: Discuss how enterprise applications must evolve to accommodate AI agents, connect business systems and support automated workflows with appropriate controls.

Digital Twins: From Visibility to Operational Intelligence: Explore how digital twins can progress from visual representations to operational tools that support simulation, prediction and better real-time decisions.

Managing the Connected Enterprise at Scale: Discuss how organisations can monitor and maintain large connected estates, improve interoperability and manage distributed data across devices, edge systems and enterprise platforms.

Automation: Where Is It Delivering Measurable Business Value?: Identify where automation is creating measurable value, which projects are struggling to scale and what separates successful deployments from expensive experiments.

Moving Embedded AI from Use Case to Production: Explore what it takes to embed AI into operational products and workflows, including integration, deployment, monitoring and maintaining performance in real-world conditions.

Physical AI: Moving from Experimentation to Real-World Deployment: Discuss the practical requirements for deploying Physical AI, including simulation, infrastructure, safety, integration and operation outside controlled environments.

Cybersecurity: Securing Identities, Devices and Autonomous Systems: Explore how security strategies must evolve as people, connected devices and autonomous agents interact across increasingly complex enterprise environments.

Data Centres: Power, Cooling and Capacity for AI Infrastructure: Discuss how operators and enterprises can secure the power, cooling and capacity required for increasingly intensive AI workloads.

Sovereign AI and Cloud: How Much Control Does the Enterprise Need?: Explore where AI models, data and cloud workloads should reside and how organisations should balance sovereignty, control, resilience, cost and access to innovation.

Data Governance for the AI Era: Discuss how data governance must evolve to support enterprise AI, including quality, ownership, access, lineage and the responsible use of organisational data.

Digital Transformation: Modernising Core Technology Without Disrupting the Business: Explore how organisations can replace legacy systems, modernise critical technology and introduce new capabilities while maintaining operational continuity.