RE.WORK AI Summit 2027
23 February 2027 – 24 February 2027
TOGETHER at 88 Wood Street, London, United Kingdom
Corinium's Data, AI & Security Summit UK brings together senior leaders in data, artificial intelligence and cybersecurity across industries. It runs over two days in London across three co-located stages - CDAO UK & Enterprise AI, Data & AI Architecture UK and CDAO Government UK - covering data and AI leadership, responsible AI, governance and risk.
69 sessions · 47 speakers
Organiser (1)
Speakers (47)
- Aga Strandskov Head of Data Strategy, Digital Isle of Man
- Dr. Justine Dattani Chief of Strategy and Chief Technology Officer, RM1
- Geoffrey Van Ijzendoorn-Joshi Head of Data, Møller Mobility Group
- Tom Puffitt Head of Data, Audley Travel
- Alan Strange Head of Underwriting & Analytics, Sophro
- Jorge Ruano Puente Chief Data Officer, OUIGO
- Tiago Freitas Head of Data and AI | Global Risk Management, BBVA
- Shruti Ahuja Head of Digital Transformation, Business Intelligence & Analytics, Virgin Media O2
- Ari Cohen Chief Data and AI Officer, Macquarie Group
- Vladimir Bendikow FirstBank UK
- Edmund Towers Head of AI Delivery, Financial Conduct Authority
- Murtz Daud Director of Data & AI, British Gas
- Dr. Florian Pappenberger Director-General, European Centre for Medium-Range Weather Forecasts
- Enrica Porcari Chief Information Officer, CERN
- Feryal Clark Former Parliamentary Under-Secretary of State for AI and Digital Government, Member of Parliament for Enfield North
- Ian Gatley Group Chief Technology Officer, Vector Investment Capital
- Lt Col Amanda Gustave Chief Data Officer-TF MAVEN Lead, NATO
- Thomas Geerinck Groupwide Retail Chief Data Officer & Head of Data & AI, ING
- Andy Walters Senior Fintech Analyst, Bank of England
- Adrian Toontas Senior Data Business Partner - Underwriting & Claims, Munich Re
- Aman Aneja Head of Data and AI, Farview Equity Partners
- Kaushik Chaubal Senior Engineering Director, BlackRock
- Beatrice Russell Global Data Management Office Leader, Aon
- Dominique Kwiatkowska Head of Data & Analytics, NHS SBS
- Elena Konovalova Head of Data and Analytics, Paysend
- Katy Rose Head of Performance & Data, Amova Asset Management
- Mikhael Mazu VP, Head of Metadata Management, Deutsche Bank
- Raphael von Thiessen Program Lead AI, Office for Economy, Canton of Zurich
- Rémi Maillon Chief Data Scientist, SNF France
- Renata Šiškevičiūtė Chief Data Officer, Go3
- Rune Køhler Deputy Director, Principal Engineer, NATO Airborne Early Warning & Control Force
- Tomáš Trnka Chief Data Officer and AI Team Lead, EAG
- Anna Kwiatkowska Deputy Director of Data Science and Chief Data Scientist, HMRC
- Christoffer Kanstrup Chief Data Officer & Head of Data & Analytics, Danske Bank
- Fabrizio Margaroli Head of Artificial Intelligence, Upliift
- Flo Albu Director, Technology for Impact, and Chief of Staff to the Chief Impact Officer, CIFF
- Inga Rós Gunnarsdóttir Chief Data Officer, The City of Reykjavík
- Jen Courant Chief Data Officer, DWS Asset Management
- Jessica Matheron Chief Data & AI Officer, Nestlé Europe
- Karol Tajduś Chief AI Officer, Bank Pekao
- Martin Nelson Enterprise Data Architect, Data Strategy Lead, Arrow Global Group
- Ott Velsberg Client Engagement & Delivery Lead, Data; Former Government Chief Data Officer, Estonia, Tony Blair Institute for Global Change
- Pedro Liaño Chief Data & AI Officer - Fractional, Beyond Inc.
- Sally Bashuan SVP, Global Head of Data Governance, Federated Hermes
- James Davies Chief Analyst Officer, By Rotation
- Rakesh Rana Head of Data & Intelligence, Haypp Group
- Sahar Attaripour Chief AI Officer, 11:FS Holdings
Agenda
- AI at Scale: Governance, Leadership and Global Collaboration 23 February 2027
- The architecture decisions you’ll still be living with in 2030 23 February 2027
- Beyond the pilot: What it really takes to make agentic AI work 23 February 2027
- From AI Ambition to Enterprise Scale 23 February 2027
- Does AI change the data architecture playbook? 23 February 2027
- Building the AI-ready enterprise: What actually needs to change? 23 February 2027
- The big architecture bets: What will still matter in 2030? 23 February 2027
- Where will the next £100m of Data and AI Value Come From? 23 February 2027
- Rebuilding the enterprise foundation with AI-ready data 23 February 2027
- Trusted data as enterprise infrastructure: Quality, lineage and control 23 February 2027
- From pilots to production: What does it take to reach scale? 23 February 2027
- The autonomous enterprise: When AI starts making decisions 23 February 2027
- Everyone owns data, so who is actually accountable? 23 February 2027
- When AI starts to act: Architecting the enterprise for agentic AI 23 February 2027
- Innovation inside the guardrails: Can governance keep pace with AI? 23 February 2027
- AI operating models: Who owns AI when everyone uses it? 23 February 2027
- Giving AI context: Are knowledge graphs and ontologies finally having their moment? 23 February 2027
- The Bank of 2035: What will a financial institution actually look like? 23 February 2027
- One enterprise, too many platforms: Can we fix data fragmentation? 23 February 2027
- Human and Machine: Redesigning work around intelligent systems 23 February 2027
- Right data, right now: Engineering trusted information for decisions that can’t wait 23 February 2027
- Data modernisation: Replacing legacy without disrupting critical operations 23 February 2027
- AI in the workflow: What changed when we redesigned the process, not just the technology? 23 February 2027
- Agentic AI in financial services: From copilots to autonomous operations 23 February 2027
- Skills, talent and operating models: Rebuilding the data function for the AI era 23 February 2027
- From laboratory data to industrial decisions: Building the foundations for AI at SNF 23 February 2027
- The cost of AI: Can your infrastructure afford to scale? 23 February 2027
- Customer intelligence: Building the trusted customer 360 for the AI era 23 February 2027
- Enterprise knowledge for AI: Making organisational data usable by intelligent systems 23 February 2027
- AI in production: What breaks after launch? 23 February 2027
- When models meet the real world: Building decision intelligence for different markets 23 February 2027
- Data products that deliver: From data projects to reusable business assets 23 February 2027
- Decision Intelligence: Turning insight into better business decisions 23 February 2027
- When models travel badly: Can AI be trusted outside the context it was built for? 23 February 2027
- Guardrails or gridlock? How much architecture governance is too much? 23 February 2027
- Beyond the data office: Who leads enterprise transformation in the AI era? 23 February 2027
- Metadata comes of age: Building the control layer for data and AI 23 February 2027
- Decisions under uncertainty: What 50 years of forecasting can teach us about AI 24 February 2027
- The government data and AI agenda 2027: Building the intelligent state 24 February 2027
- Building the AI-ready enterprise: What actually needs to change? 24 February 2027
- From data to trusted asset: Building the foundations for the AI era 24 February 2027
- What will separate the AI winners from everyone else? 24 February 2027
- Who owns the citizen's data? Trust, transparency and digital sovereignty 24 February 2027
- The trust economy: Why data confidence will define the next generation of organisations 24 February 2027
- AI for public good: Turning data and AI investment into better public services 24 February 2027
- How do you create trusted data ecosystems without losing control? 24 February 2027
- Making government data AI ready: From fragmented datasets to trusted context 24 February 2027
- From GenAI to agentic AI: Preparing for the next enterprise AI shift 24 February 2027
- Responsible AI in the agentic era: Who is accountable when AI acts? 24 February 2027
- The citizen analyst programme: Empowering everyone to work with data 24 February 2027
- Data products at scale: Transitioning ownership from the data team to the enterprise 24 February 2027
- Data for public good: Rethinking how government, industry and citizens share data 24 February 2027
- AI you can't predict: How do you test a system that gives different answers? 24 February 2027
- Governance as an accelerator: Moving beyond compliance to enterprise enablement 24 February 2027
- Before AI goes live: What should government test, prove and document? 24 February 2027
- AI security and resilience: Protecting the intelligent enterprise 24 February 2027
- Beyond the data function: What does it take to lead as a CDAO today? 24 February 2027
- Beyond the dashboard: Conversational analytics, AI agents and the future of BI 24 February 2027
- The data-literate enterprise: Making data everyone’s responsibility 24 February 2027
- AI that removes work: Cutting red tape and administrative burden 24 February 2027
- Proving the value of data management: What is your data actually worth? 24 February 2027
- Should AI make the decision? 24 February 2027
- Human in the loop or human in the way? Where should the Government draw the line? 24 February 2027
- Data skills and leadership: Building an AI-ready public sector workforce 24 February 2027
- Governance you can prove: Metadata, lineage and controls at enterprise scale 24 February 2027
- AI without the enterprise budget: What can you actually build yourself? 24 February 2027
- What happens when AI becomes BAU? 24 February 2027
- From Chief Data Officer to enterprise transformation leader? 24 February 2027
- Buying AI differently: Procurement, partnerships and avoiding vendor lock in 24 February 2027