Data Analytics Public Sector Summit | Day 1:

Gain insight into today’s sessions so you can get the most out of your conference experience.

• Preview the strategic and technical themes shaping the conference.
• Understand how the tracks fit together.
• Identify the sessions most relevant to you.

Public sector organizations are under pressure to accelerate AI adoption while also navigating evolving regulation, increased public scrutiny, and rising expectations around transparency and accountability. Create a roadmap to: 

• Bolster governance frameworks that enable innovation rather than slow it down. 

• Increase your transparency, explainability, and performance in high-stakes environments. 

• Master organizational alignment across your legal, policy, privacy, and technical teams. 

Deliver quality citizen outcomes by scaling AI with confidence. 

Grow your network by meeting like-minded individuals to share your latest ideas and projects with:

• Enjoy a quick icebreaker, exchange LinkedIn information, and build lasting business relationships.
• Achieve your conference networking goals in a fun and agile fashion.
• Join a community of big data leaders and gain invaluable support.

As government organizations move from AI experimentation towards operational adoption, the challenge is no longer simply proving what AI can do — but creating the conditions to use it responsibly, securely and at scale. Drawing on ESDC’s journey across its departmental AI strategy, AI Register and enterprise data platform, explore why trusted data, effective governance and organizational readiness must evolve alongside AI capability. Walk away with a roadmap to: 

• Strengthen data quality, metadata and governance so AI systems are built on information that is understood, discoverable and trusted. 

• Establish secure access, accountability and transparency frameworks that allow AI adoption to scale while maintaining appropriate oversight and public trust. 

• Build workforce and organizational readiness so responsible AI moves beyond policy and experimentation to become an operational capability across government. 

Move from isolated AI experimentation to trusted enterprise adoption by building the data, governance and organizational foundations required to scale AI responsibly.

Governments are known for being “slow” to make decisions, but today’s challenges require operational awareness in the moment. Event-driven architecture, streaming data, and real-time monitoring make decision-making faster. Source practical tips to:

• Master event-driven data architectures that support live decision-making.
• Increase streaming data across policy, operational, and service environments.
• Heighten real-time monitoring to improve resilience, coordination, and responsiveness.
• Master how to transition from retrospective reporting to proactive operations.

Deliver faster, smarter decisions by building the technical foundations for real-time government.

• Explore the latest data analytics technology and strategies with our industry-leading sponsors.
• Share your challenges with the biggest innovators in the business.
• Schedule one-to-one meetings for practical advice on your most pressing data, platform, governance, and AI priorities.

Government teams are under pressure to share more data faster and with better quality. It’s about shifting away from ad hoc sharing to accountable and reusable delivery. Walk away with a plan to: 

• Amplify your data ownership, service expectations, and accountability. 

• Enhance your critical datasets with quality and usability in mind. 

• Optimize how you reuse data across departments. 

• Excel interoperability and scale by combining governance with product thinking. 

Move from fragmented data sharing to a more reliable and scalable operating model for government data. 

Public sector organizations rarely suffer from a lack of data — the challenge is getting information trapped across legacy applications, databases, documents, APIs and departmental systems to work together. As governments introduce AI and more automated services, integration can no longer be treated simply as moving data from one system to another.  Walk away with a roadmap to: 

• Connect fragmented legacy, cloud, spatial and operational data without requiring wholesale replacement of the systems government services continue to depend upon. 

• Automate manual data processes and information flows to reduce administrative effort, improve data availability and enable faster delivery of public services. 

• Prepare existing data ecosystems for AI by making trusted information accessible across systems, applications and emerging AI-enabled workflows. 

Move beyond point-to-point integration to create a connected data ecosystem where information can flow automatically across government and translate into faster decisions, more efficient operations and better public services.

As public sector organizations rely more heavily on automation, analytics, and AI, data quality failures become operational risks. Create a roadmap to: 

• Improve how you monitor freshness, lineage, and anomalies. 

• Master quality issues before they affect outcomes. 

• Enhance observability into governance and platform operating models. 

• Achieve confidence in the data used for public sector decisions. 

Improve trust in your data ecosystem by making quality, reliability, and lineage visible at scale. 

Public sector organizations are increasingly exploring AI to improve service delivery, operational efficiency, and citizen outcomes. While many initiatives remain focused on chatbots and content generation, the next frontier is Agentic AI: intelligent systems capable of reasoning, planning, and taking actions within defined governance boundaries. Walk away with a plan to:  

• Execute AI agents that can create measurable value across government operations. 

• Implement key governance, risk, privacy, and compliance considerations. 

• Move from experimentation to enterprise deployment. 

• Balance innovation with responsible AI practices 

Municipal services often operate in environments where delays can be costly, and citizen expectations are immediate. Optimize how you use real-time data to improve responsiveness. Walk away with strategies to: 

• Bolster live data to strengthen operational awareness. 

• Achieve practical integrations between service systems, sensors, and reporting environments. 

• Improve decision speed. 

• Optimize real-time insight into more responsive and reliable services. 

Use real-time data to move municipal operations from reactive reporting to faster, more coordinated decision-making

Hospital-acquired conditions including UTIs, delirium, sepsis and pneumonia continue to contribute to longer stays, greater care complexity and poorer patient outcomes. Fraser Health’s Patient Safety Priorities initiative is using AI to identify patients at risk earlier — but its experience also exposed a critical challenge for healthcare AI: even highly accurate predictions create little value if clinicians have to leave their existing workflows to find them. Discover how Fraser Health moved AI from a standalone analytics tool into the clinical workflow to turn prediction into action. Walk away with a roadmap to: 

• Predict emerging patient safety risks earlier by combining structured clinical information with unstructured physician and nursing documentation to continuously identify changes in patient risk. 

• Embed AI-generated insights directly into existing clinical workflows, reducing friction for clinicians and designing around how physicians and nurses actually deliver care rather than expecting them to adapt to another technology. 

• Operationalize predictive AI at scale by bringing together clinicians, data scientists, quality leaders, UX and infrastructure teams to deliver secure, near-real-time insights across complex hospital environments. 

Move beyond building accurate AI models to creating clinical AI that is trusted, adopted and acted upon — shifting patient safety from reactive identification towards proactive prevention. 

Review the key solutions and takeaways from today’s sessions. Optimize essential action points you can start using immediately. Discuss tomorrow’s highlights!