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Which Theatre Will Help Solve Your Biggest Data Challenge?
Every organisation is trying to get more value from its data.
Some are modernising legacy platforms. Others are building AI into everyday operations. Many are improving governance, automating pipelines or trying to prove the business value of data investments.
The challenge isn’t finding information.
It’s finding practical guidance from people who have already solved the problems you’re facing.
That’s why Data Decoded MCR isn’t built around one generic conference agenda.
Instead, we’ve created five dedicated theatres, each focused on a different area of data, AI and analytics. Whether you’re responsible for strategy, architecture, engineering, governance or AI adoption, you’ll find sessions designed around the challenges you face every day.
Keynote Theatre: Leadership & Strategy
Best for:
Chief Data Officers, Heads of Data, CIOs, CTOs, transformation leaders and business executives.
The problems you’ll tackle
- How do you prove the ROI of data and AI?
- How do you create a data-driven culture?
- How do you move AI from experimentation to business value?
- How do you influence board-level decisions?
Technology alone doesn’t transform organisations.
Leadership, culture and decision-making do.
The Keynote Theatre explores how leading organisations are embedding data into business strategy, scaling AI responsibly and building organisations that make better decisions through trusted information. Expect strategic frameworks, real-world leadership lessons and practical ideas you can take back to your executive team.
Data Architecture, Platforms & Infrastructure Theatre
Best for:
Data Architects, Platform Engineers, Infrastructure Leads and Technical Architects.
The problems you’ll tackle
- Is your platform ready for AI?
- Should everything still be centralised?
- How do you modernise legacy architecture?
- How do you build scalable platforms without creating more complexity?
Modern organisations need platforms that are resilient, scalable and built for AI.
This theatre focuses on designing and evolving modern data environments, from cloud-native platforms and hybrid architectures to interoperability, scalability and infrastructure decisions that support analytics and AI at enterprise scale.
Data Engineering, Integration & Automation Theatre
Best for:
Data Engineers, Integration Specialists, DataOps teams and Automation professionals.
The problems you’ll tackle
- Spending more time fixing pipelines than delivering value?
- Struggling with data quality?
- Need to automate repetitive processes?
- Want to build reliable, scalable data pipelines?
Good data products start with great engineering.
Sessions in this theatre explore modern engineering practices, automation, integration, observability and operational excellence—helping teams deliver trusted data faster and with less manual effort.
Data Governance, Risk & Compliance Theatre
Best for:
Governance Leads, Privacy Officers, Compliance Managers, Risk Teams and Data Leaders.
The problems you’ll tackle
- Can your organisation trust its AI?
- Who owns your critical data?
- How do you balance innovation with compliance?
- How do you build trust in your information?
As AI adoption accelerates, trusted data has never been more important.
This theatre focuses on governance, privacy, security, AI risk and accountability, providing practical guidance for organisations looking to build confidence in both their data and their AI initiatives.
AI, Analytics & Intelligence Theatre
Best for:
Analytics Leaders, BI Professionals, AI Practitioners, Data Scientists and Business Analysts.
The problems you’ll tackle
- How do you move beyond AI proofs of concept?
- How do you generate measurable business value?
- How do you encourage adoption across the organisation?
- How do you make analytics influence better decisions?
AI isn’t valuable because it’s new.
It’s valuable when it changes how people work and make decisions.
Sessions in this theatre explore practical AI implementation, machine learning, analytics, generative AI and decision intelligence, helping organisations move from experimentation to operational impact.
More Than Five Theatres
While each theatre has its own focus, they’re designed to complement one another.
A Chief Data Officer might spend the morning in the Keynote Theatre before joining governance discussions in the afternoon.
A Data Architect may move between architecture, engineering and AI sessions to understand how today’s platform decisions support tomorrow’s AI ambitions.
The goal isn’t to keep attendees in one room, it’s to help every visitor build an agenda that reflects their priorities and current projects.