Google Cloud Summit London 2026: Accelerate AI Readiness with Xebia’s Data Migration Factory

Google Cloud Summit London 2026

Google Cloud Summit London 2026 brings together enterprise leaders, developers, architects, data experts, and AI specialists to explore the next phase of cloud, data, and AI transformation on Google Cloud.

Taking place in London on 17–18 June 2026, the summit will focus on how organizations can turn AI innovation into operational business value. Key themes are expected to include Gemini Enterprise, AI agents, modern cloud infrastructure, data modernization, security, governance, and enterprise AI in production.

For Xebia, the central conversation at Google Cloud Summit London 2026 is clear:

Enterprises cannot scale Gemini Enterprise, AI agents, or AI-native workflows without modern, trusted, and governed data foundations.

That is why Xebia will emphasize the Xebia Data Migration Factory at the summit: an accelerated, fixed-time, fixed-price migration framework for modernizing data platforms and workloads on Google Cloud.

The Data Migration Factory combines automated migration assessment, code conversion, governance, and cloud-native modernization. It helps organizations reduce migration timelines by up to 60% compared with traditional migration approaches, while creating the data foundation required for enterprise AI adoption.

Meet Xebia at Google Cloud Summit London 2026

Xebia is a global digital engineering and technology consultancy helping enterprises modernize cloud, data, software, and AI capabilities. We work with organizations across industries including financial services, retail, healthcare, public sector, manufacturing, technology, and critical infrastructure.

As a Google Cloud Partner of the Year and recognized Google Cloud Gemini Enterprise Competency Partner, Xebia helps organizations move from legacy complexity to scalable, AI-ready platforms on Google Cloud.

At Google Cloud Summit London 2026, Xebia experts will be available to discuss:

Why data modernization matters at Google Cloud Summit London 2026

Many organizations are moving quickly from AI experimentation toward enterprise-wide AI adoption. Over the past two years, companies have invested in copilots, proof-of-concepts, productivity tools, and isolated AI use cases.

The next phase is different. Organizations now need to operationalize AI across business processes, customer interactions, software delivery, knowledge work, and decision-making. That requires more than access to AI models or productivity tools. It requires trusted enterprise data, scalable infrastructure, secure integration, reliable pipelines, governance, and operational resilience.

For many enterprises, this is where progress slows down. Fragmented data estates, legacy ETL tooling, outdated platforms, and complex governance environments make it difficult to scale AI safely and effectively.

That is why data migration is now an AI priority.

“2026 is the year enterprises move from experimenting with AI assistants to deploying operational AI agents across the business. The challenge is no longer access to AI capabilities — it is building the cloud, data, governance, and operational foundations required to run AI in production securely at scale.”

Andy Dalby

Google Cloud Sales Lead UK & I, Xebia

Xebia’s Focus at Google Cloud Summit London 2026: Data Migration Factory

The Xebia Data Migration Factory helps organizations accelerate data platform modernization on Google Cloud. It is designed for enterprises that need to move from fragmented, legacy, or on-premises data environments to modern cloud-native platforms that can support analytics, AI, and agentic workflows.

The approach combines automated migration assessment, code conversion, migration planning, governance, validation, cloud-native modernization, fixed-time and fixed-price delivery models, and Google Cloud implementation expertise.

Xebia can provide migration timelines and fixed-cost proposals in under two weeks, helping organizations move from uncertainty to an executable modernization roadmap. Xebia has supported more than 200 enterprise migration projects, including large-scale modernization programs and highly regulated environments.

How the Xebia Data Migration Factory works

The Data Migration Factory provides a structured path from migration assessment to AI-ready data foundations.

First, Xebia assesses the current data landscape, including platforms, workloads, ETL pipelines, dependencies, architecture, governance requirements, and migration complexity. This creates a clear view of what needs to move, what needs to change, and where modernization will create the most value.

Next, Xebia uses automation and engineering accelerators to support code conversion, migration preparation, and modernization planning. This helps reduce manual effort, improve predictability, and accelerate the transition from legacy environments to Google Cloud.

The third step is modernization. Xebia moves workloads and data platforms toward cloud-native Google Cloud services, improving scalability, resilience, governance, and operational efficiency. This is not only about migration. It is about creating a stronger data foundation for the future.

Finally, Xebia helps operationalize the modernized foundation for analytics, Gemini Enterprise, AI agents, intelligent search, AI-native workflows, and production AI use cases. The outcome is a data environment that can support enterprise AI securely and at scale.

From data migration to Gemini Enterprise and agentic AI

Gemini Enterprise and AI agents become more valuable when they are connected to trusted, governed, cloud-native enterprise data.

Without that foundation, AI initiatives often remain limited to isolated pilots or productivity experiments. Organizations may have access to powerful AI capabilities, but they cannot fully operationalize them across enterprise workflows.

The Xebia Data Migration Factory helps address this challenge by modernizing the data platforms, pipelines, and workloads that AI depends on. This creates a stronger foundation for Gemini Enterprise, enterprise AI agents, intelligent search, AI-native workflows, customer operations, knowledge automation, AI-assisted software engineering, analytics, and production AI ecosystems.

“The biggest challenge is no longer access to AI models. The real challenge is integrating AI safely into enterprise workflows, systems, and decision-making processes. Gemini Enterprise becomes truly valuable when it is connected to the organisation’s data, operations, and governance model.”

Timothy van der Werf

Google Cloud AI Lead Consultant, Xebia

Why UK enterprises are prioritizing data migration now

Across the UK market, organizations are under pressure to modernize legacy systems, improve data governance, strengthen resilience, and accelerate AI adoption. This is especially relevant in sectors such as financial services, healthcare, public sector, retail, critical infrastructure, manufacturing, and technology.

For these organizations, data modernization is no longer a back-office IT activity. It is directly connected to AI readiness, operational resilience, regulatory compliance, and future competitiveness.

At Google Cloud Summit London 2026, these themes are expected to shape many of the strategic and technical discussions around Google Cloud, Gemini Enterprise, data platforms, and enterprise AI.

Why enterprises use Xebia’s Data Migration Factory

Xebia’s Data Migration Factory is designed to reduce uncertainty and accelerate modernization. The fixed-time, fixed-price delivery model gives organizations clearer scope, timelines, and investment expectations. The ability to provide a migration proposal in under two weeks helps teams move quickly from assessment to decision-making.
The approach can reduce migration timelines by up to 60% compared with traditional migration approaches. Automated assessment and code conversion reduce manual migration effort and improve predictability, while cloud-native modernization on Google Cloud helps organizations move beyond lift-and-shift toward scalable, AI-ready architecture.
Governance is built into the migration approach, supporting secure, compliant, and trusted data modernization. Xebia’s experience across more than 200 enterprise migration projects gives organizations access to practical delivery experience across large-scale and regulated environments.

Building AI-ready data foundations on Google Cloud

Operational AI requires more than models. It requires modern cloud and data foundations that can support secure, governed, and scalable AI adoption.

The Xebia Data Migration Factory connects directly to Xebia’s broader Google Cloud and AI capabilities across data modernization, cloud migration, AI-ready architecture, Gemini Enterprise implementation, agentic AI development, AI-native software engineering, governance, security, AgentOps, and enterprise AI adoption.

This is how organizations move from fragmented AI experimentation to enterprise AI in production.

Why work with Xebia

Xebia combines deep Google Cloud expertise with practical engineering delivery across cloud, data, software, and AI. Organizations work with Xebia because we help them move from strategy to implementation, supporting clients across migration, modernization, governance, AI readiness, and production-grade AI delivery.

Our teams bring together Google Cloud implementation expertise, data engineering, data platform modernization, large-scale migration capabilities, AI and Gemini Enterprise expertise, software engineering, governance, operational resilience, and experience in regulated enterprise environments.

As a Google Cloud Partner of the Year and Gemini Enterprise Competency Partner, Xebia helps organizations build the foundations required to scale AI securely, responsibly, and effectively.

Meet Xebia at Google Cloud Summit London 2026

Planning a data platform migration? Preparing your organization for Gemini Enterprise, AI agents, or production AI?

Meet Xebia at Google Cloud Summit London 2026 to explore how the Data Migration Factory can accelerate your move to an AI-ready data foundation on Google Cloud.

Whether you are modernizing legacy data platforms, migrating workloads, improving governance, or preparing for enterprise AI adoption, Xebia can help identify the right next step.

Book a Data Migration Factory meeting at Google Cloud Summit London 2026.

Frequently Asked Questions About Google Cloud Summit London 2026

What is Google Cloud Summit London 2026?
Google Cloud Summit London 2026 is one of Google Cloud’s flagship enterprise events focused on Generative AI, cloud infrastructure, data, security, and enterprise transformation. The event brings together business leaders, developers, architects, and AI specialists exploring how organisations can operationalise AI at scale.

When and where is Google Cloud Summit London 2026?
Google Cloud Summit London 2026 takes place on 17–18 June 2026 in London, United Kingdom. The event includes keynotes, breakout sessions, technical deep dives, hands-on demos, and networking opportunities focused on Google Cloud innovation and enterprise AI.

What will Xebia focus on at Google Cloud Summit London 2026?
Xebia will focus on the Data Migration Factory, an accelerated, fixed-time, fixed-price migration framework that helps enterprises modernize data platforms and workloads on Google Cloud. The approach helps organizations prepare for Gemini Enterprise, AI agents, analytics, intelligent search, and production AI by creating trusted, governed, cloud-native data foundations.

What is the Xebia Data Migration Factory for Google Cloud?
The Xebia Data Migration Factory is an accelerated migration framework for modernizing data platforms and workloads on Google Cloud. It combines automated migration assessment, code conversion, governance, and cloud-native modernization to help organizations reduce migration timelines by up to 60% compared with traditional migration approaches and prepare their data foundations for Gemini Enterprise and agentic AI.

Why is data migration important for Gemini Enterprise and AI agents?

Gemini Enterprise and AI agents depend on trusted, accessible, governed enterprise data. If data is fragmented across legacy platforms, outdated ETL tooling, and disconnected systems, AI adoption remains limited. Data migration and modernization create the foundation for secure, scalable AI in production.

How does the Data Migration Factory support AI readiness?
The Data Migration Factory helps organizations modernize the data platforms, pipelines, and workloads that AI depends on. By moving to cloud-native Google Cloud foundations, organizations can improve data accessibility, governance, scalability, and resilience. This makes it easier to deploy Gemini Enterprise, AI agents, intelligent search, AI-native workflows, and analytics use cases.

What is the Xebia Data Migration Factory?
The Xebia Data Migration Factory is an accelerated migration framework designed to help organisations modernise workloads and data platforms on Google Cloud using fixed-time and fixed-price delivery models.
The framework combines automated assessment, code conversion, governance, and cloud-native modernisation to help organisations reduce migration timelines by up to 60% compared with traditional migration approaches.

How does Xebia help organisations operationalise AI on Google Cloud?
Xebia supports organizations across AI strategy, Gemini Enterprise implementation, cloud migration, data modernization, AI-native software engineering, AgentOps, governance, and enterprise AI adoption. The focus is helping organizations operationalize AI securely, responsibly, and at scale on Google Cloud.

How can I meet Xebia at Google Cloud Summit London 2026?
Attendees can meet Xebia at Google Cloud Summit London 2026 to discuss the Data Migration Factory, Google Cloud data migration, Gemini Enterprise readiness, AI-ready data foundations, and enterprise AI in production.