Agenda of Oracle AI Live

Public sector organisations build trust in AI decisions through transparency, controls, and human accountability.

AI reshapes roles, tasks, and accountability across public sector service teams.

An operating model for scaling trusted AI in public services.

Examples show where AI is already improving public service outcomes.

Trust in AI is established through layered controls.

Through prioritisation and routing, AI improves throughput across workloads.

This session explores how smarter, AI-driven interactions can improve citizen experiences and simplify service journeys.

Explore how shared data is the foundation for public sector modernisation and AI at scale, and ultimately enables joined-up services and better decisions across the public sector.

Practical lessons from public sector leaders.

Trust in shared data enables better project delivery, asset management, and financial decision-making.

How organisations build trust in AI across partners, contractors, and operators while scaling the technology.

Utilities and construction and engineering companies are moving beyond managing assets in isolation as they create connected, data-driven systems. By linking how assets are designed and built with how they’re run day-to-day, using AI workflows and insights, organisations can make better decisions, improve performance, and deliver more value over the full lifecycle.

Exploring use cases where AI is already reducing costs, mitigating risk, and improving project delivery, focusing on areas such as predictive maintenance, project controls, and document automation.

What it takes to deploy secure, controlled AI across an organisation and its partners and suppliers.

Earlier risk detection enables teams to respond more effectively in project delivery and operations.

AI supports traceability, transparency, and data discipline to make compliance part of everyday work.

Data security, access controls, and shared operational discipline across multiple parties make it possible to scale AI safely across utilities, construction, and engineering organisations.

Utility, construction, and engineering leaders share practical lessons from scaling AI.

Explore how AI allows manufacturers to create strategic, localised inventory buffers to anticipate and plan for disruptions before they happen.

Manufacturing organisations build trust in AI and ensure data integrity and auditability across shop-floor and enterprise systems, where safety and uptime are essential.

Learn how manufacturers can use AI to connect their operations, supply chains, workforce, and customer-facing services.

Real examples of AI turning supply chain insights into measurable operational improvement.

Reasons manufacturing AI projects fail to scale and how governance, process redesign, and change management help fix them.

Through reduced downtime and waste, AI improves manufacturing throughput.

Learn how AI drives faster fulfilment and increased loyalty so that manufacturers can offer business buyers the consumer-like experience they’ve come to expect.

Many manufacturers struggle to turn data and AI into real value. This session explores how to put the right foundations in place to turn AI insights into measurable outcomes.

Practical lessons from manufacturing leaders scaling AI from experiments to live operations.

Explore how AI can help financial services organisations be continuously audit-ready and compliant.

Discover ways unified data and AI help banks and other financial institutions identify and prevent fraud while reducing false positives.

The operating model required for financial institutions to move from AI pilots to scaled, regulated production use.

Learn from real-world use cases where AI is rooting out financial fraud, helping with regulatory compliance, and automating processes

Discover the processes financial services leaders can use to build AI operating models that are governable, compliant, resilient, and measurable at scale.

AI helps banks and other financial institutions detect and respond to suspected cases of fraud.

Explore the way financial services organisations use AI to deliver personalised services to customers.

Learn the ways cloud architecture supports AI at scale in a market in which regulations can demand data sovereignty and strict data controls.

Practical lessons from leaders scaling AI in highly regulated financial services markets.

Learn the ways AI supports personalised marketing in consumer-facing organisations while maintaining customer trust.

How retailers can use AI to track products from source to shelf, meet growing sustainability expectations, keep shelves stocked, and deliver a more transparent and secure shopping experience.

A discussion on the ways to offer consumers convenience and great deals whilst maintaining responsible data use and proof.

Proven use cases where AI is already helping consumer-facing companies improve execution and deliver more value to customers.

Learn why the fastest path to value is embedding AI into governed end-to-end processes teamed with a strong change management strategy.

See how AI can help retailers improve order fulfilment, product replenishment, and delivery promise accuracy.

Building consent-based customer experiences that drive conversion and retention.

How governance, shared data, and stewardship enable AI within customer-facing industries to scale safely and successfully.

Practical lessons from consumer brand leaders applying AI to their operations.