Agenda Day 2

Receive pre-printed GenAI prompts and share tweaks and improvements with other delegates over breakfast.

Legacy cores often underpin your most critical data stores, but cobbling together modern analytics on a fractured, unsupported stack kills velocity and trust. CDOs need a clear framework to decide what to retire, test safely and reinvest savings into modern data products.

• Learn to rank applications by their impact on data quality, operational risk and team expertise to decide your sunset roadmap.
• See how peers run parallel tests to validate decommissions without disrupting live reporting.
• Find out how to channel freed-up budget into high-impact analytics and AI initiatives.

Rakhee Dutta Gupta

Chief Data Architect
Sumitomo Mitsui Banking Corporation

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Success depends on employees fluent in both business context and technical delivery – balance sheets and Python. Yet the talent market offers few such hybrid profiles. CDOs are now looking to offer credential paths, internal gig-marketplaces and reward opportunities that retain such staff without Silicon-Valley-esque pay checks.

• Explore cross-skill training to create business savvy data experts.
• Discover how to launch an internal talent marketplace that shares niche expertise on demand.
• Hear how peers tie hybrid-role performance metrics directly to business outcomes. 

Kiran Bal

Head of Group Data Quality
Lloyds Banking Group

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Agentic AI will add armies of synthetic workers, yet most executives and staff still think “digital colleague” means RPA. Ignorance breeds fear and stalls investment. Structured education and change management sprints are urgent musts before scale pilots can land - but fear needs to be addressed first, and the value proposition of AI agents further explained.

Banks admit that when upstream changes corrupt millions of transactions “it’s already too late.” True lineage across multiple hops is not exactly simple, and reconciliation consumes days of analyst time while risk escalates. CDOs need transparent traceability plus fast impact assessment to cut firefights and fines.

Modernisation grinds when every new SaaS vendor faces months of privacy, security and contractual reviews – often up to 18 months. Some organisations prefer to keep a “tight ship” of pre-vetted partners because laws and global contracts make onboarding painful. CDOs must streamline vetting to keep build velocity while satisfying CISOs, CFOs and regulators.

EU, Saudi, APAC and US rules all demand local data anchors; data residency is often viewed as a competitive power play wrapped as regulation, which now shapes every architecture choice. CDOs juggling multi-cloud must prove which data lives where, negotiate exit clauses yet still keep analytics latency low. Delays invite fines - and business users waiting on reports.

In a not-so-distant future geopolitical rifts could hypothetically throttle inter-continental data flows, raising latency, duplicating costs and stranding AI models trained on global datasets. CDOs must scenario-plan today: regional data zones, compliant encryption, local-first analytics and contractual exit clauses.

Imagine this:

1. The US, the EU, and BRICS have now announced data flow throttles, with a 20% tariff on every GB of cross-border data flows between each block.
2. Transfers are throttled to 250 ms minimum latency and are subject to on-the-fly inspection.
3. Regulators in all three blocs require a signed exit plan proving critical workloads can run locally within 90 days.
4. Tariffs take effect in 30 calendar days; fines equal 4 % of global turnover for non-compliance.

Split into 3 teams – your scenarios are:

• Blue Team – Your CEO is under FCA watch for prior violations.
• Green Team – GenAI product launch in 90 days – a global rollout in all affected regions.
• Yellow Team – Your CFO orders a 30% data storage cut.

Each table’s nominated leader shares their team’s findings with the rest of the room