Consumer duty rules and cross-border privacy laws block teams from using live customer data in non-production. Synthetic data promises safe, and statistically valid test sets. But many wonder if synthetic data can yield meaningful results,

• Explore the privacy risks and considerations that make synthetic a must-have.
• What are some quality checks that can convince auditors the fake data is “good enough”?
• Share use cases that generate, store, and watermark synthetic data for use in your next model training cycle

Claims still often bounce between handlers worldwide, affecting pricing, efficiency, and customer satisfaction. AI is however transforming the claim lifecycle, drastically reducing the time from FNOL to payout, decreasing manual processing, and boosting policyholder loyalty. Data leaders now have the opportunity to rebrand insurance operations as a lean claim handling machine that optimizes productivity, guaranteeing compliance and safeguarding against fraud.

• Share NLP training tips on how to leverage unstructured PDFs and email attachments classify claim type, jurisdiction and urgency at intake.
• Discuss how audit-grade lineage keeps PRA/FCA auditors happy.
• Communicate the NPS uplift opportunities that shortening claim lifecycles is already achieving.

Duplicate datasets, bespoke feature code and inconsistent definitions create compliance friction, prolong processes, and inflate infrastructure cost. Scaling AI enterprise-wide requires certified golden data copies of critical data and sharable ML templates for the entire organisation.

• How are your peers keeping downstream app in sync?
• What are the best practices to guarantee feature reusability?
• Explore rules that make reusable data sharing quick, not bureaucratic.

Generic Q&As never kill a live blocker. Submit one thorny issue pre-arrival – either through the email that will be sent to you prior to the conference, or during our question collection during the pre-event pub quiz. In five-minute rotations, peers dissect your problem, share fixes and volunteer follow-up contacts. You leave with an action plan and the contacts to get you through it

Tech teams come up with visionary ideas; Business units chase next quarter’s numbers; mis-alignment results in mid-project funding cuts, leaving everyone frustrated. CDOs step up to the challenge, and bridge technical data expertise with solid business objectives to drive both innovation and growth.

• Discuss how drafting clear joint KPIs with respective business units may clear red tape faster.
• Alongside your peers, design a repeatable PoC cycle template that you can use to accelerate aligned future projects.
• Share how narrative storytelling often plays a role in demonstrating value proposition that keep board scepticism at bay.

Corporate culture tends to only showcase wins, leaving recurring mistakes unaddressed and often unacknowledged across functions and geographies.

• Share failure stories and have a frank discussion without reputational risk.
• Collaborate with your peers to group similar root causes of failure into an enterprise “avoid list”.
• Decide on the top 3 common mistakes your groups have admitted to, and commit to avoiding them

Hiring caps can hurt growth while customer volumes escalate; low-code platforms promise drag and drop productivity and broader workflow gains but risk uncontrolled app sprawl.

• Benchmark against your peers and discover how many hours you can save per automated process.
• Share practical insights on how to calculate provable ROI.
• Brainstorm pragmatic kill-switches and approval processes that can stop uncontrolled app sprawl before it starts.