Agenda

As adoption accelerates, it's time to move from reacting to proactively building a new operating model - How does a business create a new profitable model among a sea of constantly changing technology which changes performance and price almost daily? Sam's keynote and workshop will help delegates plan for the short and medium term.

In an increasingly rapid transformation of SaaS, tooling and commercials, the new relationship between client and vendor will transform equally quickly. We start our track by asking those involved the key questions about accountability expectations.

For eight weeks, MACH Alliance member teams have been building alongside easyJet Holidays and Your Golf Travel on real problems: unifying review data, wiring an interactive points-of-interest map, triaging customer email with a human in the loop, and building natural language search for trip planning.

This session is the first look at what they built – agentic AI tested against real data and real constraints. Brand and retail leaders get patterns to bring home. MACH Alliance members see the collaboration model in action, backed by Bloomreach and Uniform.

We've learned the hard way that clean data is essential to embrace AI within the organization, but that's harder than it sounds. Should you shrinkwrap or clean house - what other alternatives are there? How will you enrich what you have? Then feed the models directly? And lastly - what about context and the data that is required? So much to discuss!

In a new shift - Louis will talk about the changes when reporting starts to arrive fully formed and without bias - decisions become better, fairer and simpler. Who runs the business when you are truly data-driven?

One of the first key areas of AI impacting the business is in Business intelligence. The business wants "Claude" self-service BI, but this comes at some increased risk - albeit some lowered costs. We'll talk about commercial and technical risk, upside and where "control" lies in this new paradigm.

A practical session explaining the ways in which to protect enterprise IP when LLMs are U.S.-based and the EU has no domestic models to use. Governance policy dovetailed into managing data integrity.

Emilija will offer an unfiltered walk-through of a total digital stack re-platform, with multiple "pivots" and all the genuine complexity of region, language, SKU and connectivity. She'll touch on why AI adoption doesn’t happen just because the CTO says so, and the joy of changing e-commerce vendor six months into a project. There were bumps (some closer to sinkholes) but it mostly worked out in the end. Come for the keynote - stay for the therapy session.

What happens when your most important business platform contains decades of knowledge but limited documentation?

Solventum has deployed agentic AI to build momentum toward transformation without waiting for a total tech overhaul. By creating a living knowledge base, exposing reusable business capabilities, and modernizing integration patterns, a small crew has enabled new customer self-service, payments, onboarding, eCommerce, and operational automation initiatives without disrupting the core platform.

Security teams are now adopting responsibility for helping the business to navigate new potential sources of threat, from unreliable data entering core systems, through to agents acting autonomously with potentially damaging consequences. Our panelists will debate:

- Core process changes needed in order to enable (rather than disable) the business

- Creating new foundations for threats that are unpredictable

- Educating the business leadership (advising vs. prescribing)

- Preparing for Agentic transactions & the new world

For IFM, a 57-year-old B2B hardware manufacturer, AI-powered selling didn't start with a chatbot, it started with data housekeeping. The team will show how turning 2.5 million scattered assets into a clean, automated content supply chain has become the unglamorous foundation for Smart Search, IFM's AI recommendation tool that now closes knowledge gaps its own product data can't. The takeaway: for B2B leaders chasing AI in sales, the real work is upstream.

Agents at production scale bring efficiency and predictable returns, but the LLMs behind them will likely start costing more soon, so we need to think carefully now about a viable operating model for the new stack.

Re-working marketing in an AI world, robustly proposing new roles that create better outcomes where all marketing is digital.

12 tables, 6 Subjects:

• Lakehouse vs. Warehouse vs. Yourhouse
• Use Case Development
• AI & the Monolith
• Agent Rot: How to Avoid Agent Tech Debt
• Tools for the Job: LLM Variance
• Build vs. Build: Enterprise-Grade vs. Throwaway

The role of architects is fundamentally changing. Underlying technologies might remain relatively unchanged for a while, but the avalanche of new tools and new data flows needs a constant level of oversight & planning. Our architects discussion will work through the challenges, and establish ways in which we can all deal with the influx of new native AI.

Avoiding Blind Faith in an era that is about "when" not "if."