In today’s data-driven world, organizations must deliver results with speed and precision. Explore how trustworthy AI—combining transparency, reliability, and ethics—is transforming decision-making. Learn how SAS and Microsoft empower Azure and Fabric users to boost productivity, generate synthetic data, accelerate model development, and deploy decision flows that drive impact.

In this, the 10th year of Big Data LDN, in its flagship Great Dat Debate keynote panel, conference chair and leading industry analyst Mike Ferguson welcomes executives from leading software vendors to discuss key topics in data management and analytics. Panellists will debate the challenges and success factors in building an agentic enterprise, the importance of unified data and AI governance, the implications of key industry trends in data management, how best to deal with real-world customer challenges, how to build a modern data and analytics (D&A) architecture, and issues on-the-horizon that companies should be planning for today.

Attendees will learn best practices for data and analytics implementation in a modern data and AI -driven enterprise from seasoned executives and an experienced industry analyst in a packed, unscripted, candid discussion.

Deploying AI agents into business operations offers significant potential – but also demands careful execution to deliver tangible results. In this session, discover practical strategies for embedding agentic AI into frontline workflows while maintaining responsible AI governance.

We’ll explore how agentic AI can drive real performance gains – such as in call centre operations, where organisations have achieved a 20% increase in complaint resolution volume, a 30–40% reduction in average response times, and a 15% drop in handling costs. Learn how to turn AI ambition into operational success.

With rates of fraud, scams and identity theft continuing to rise in Australia, there has never been a greater focus on keeping customers’ information safe. Commonwealth Bank is at the forefront of fraud prevention in Australia, implementing a suite of data and AI-driven innovations in partnership with SAS. This is all part of efforts to detect, respond and ultimately prevent the efforts of scammers across the world. During this session, you will hear how one of Australia's largest organisations is working tirelessly to protect its customers.

AI-powered decisioning is here—but why aren’t enterprises fully leveraging its potential? Many organizations still struggle with fragmented decisioning engines, inefficient workflows, siloed data and lack of AI governance.
Join us for an engaging discussion with your peers. We’ll tackle the real barriers to AI-driven automation, explore strategies for integration, and explore how organizations are achieving measurable impact through seamless, scalable decisioning.

Industry Focus: Banking | FS | Insurance | Manufacturing
Level of attendees: Analytics Experts| Credit Mgrs, Sr. Mgrs, BU Head

The UK Ministry of Defence (MOD) oversees the lifecycle management of over 120,000 assets.

Previous reliance on Excel-based models and manual processing limited team collaboration and the development of predictive capabilities. Utilising SAS Viya, Defence Infrastructure Organisation (DIO) transitioned to AI-driven simulation models, enabling predictive and prescriptive analytics to optimise asset management. Now recognised as an advanced asset management model in government, hear how DIO have demonstrated data-driven decision-making, and advanced analytical capabilities across government.