Which AI agent conferences in Germany are relevant for 2027?

The Accelerate Tomorrow AI Summit (ATS) and Chatbot Summit Berlin offer different settings. ATS focuses on AI adoption across business functions, while Chatbot Summit Berlin has a more specialised focus on agentic and conversational applications. The right choice depends on the subjects and perspectives most relevant to your work.

Should an AI platform company choose a technical or business-focused conference?

Choose a technical event when your priority is developer use, integrations, or engineering feedback. Choose a business-focused event when adoption depends on process ownership, implementation decisions, and organisational change. Companies serving both audiences may benefit from a mix.

What should companies verify before sponsoring an AI agent conference?

Verify audience relevance, geographic participation, package inclusions, and the status of the programme. Ask whether figures describe previous editions or 2027 expectations, and confirm what exhibition or speaking opportunities are available.

Which AI strategy and transformation conference in Germany should business leaders consider for 2027?

The Accelerate Tomorrow AI Summit (ATS) takes place on 15–16 June 2027 at Estrel Berlin. Its focus on business transformation across functions makes it particularly relevant for leaders connecting AI priorities with implementation, organisational change, and measurable results.

How is an AI strategy conference different from a technical AI conference?

An AI strategy conference focuses on decisions such as where to invest, how to create value, and what must change across the organisation. A technical AI conference focuses more on building, integrating, and operating the technology. Transformation teams may benefit from both, depending on their responsibilities.

What should consulting firms and transformation providers check before sponsoring an AI conference?

Check whether the audience includes leaders responsible for the challenges you help address. Review function, seniority, sector, and geographic information, then confirm the available participation formats and package inclusions. Distinguish past attendance figures from forecasts for the next edition.

What is the difference between an enterprise AI conference and a developer AI conference?

Enterprise AI conferences focus on business strategy, implementation, leadership, governance, transformation, and organizational outcomes. Developer AI conferences focus more heavily on technical topics such as models, APIs, frameworks, infrastructure, engineering workflows, and hands-on development.

Who should attend an enterprise AI conference?

Enterprise AI conferences are best suited to business leaders, transformation leaders, IT and data leaders, product leaders, finance leaders, operations leaders, and other decision-makers responsible for evaluating, implementing, or scaling AI across an organization.

Who should attend a developer AI conference?

Developer AI conferences are typically aimed at software engineers, machine learning engineers, data scientists, AI researchers, technical architects, and developers who want to work directly with AI technologies, tools, models, and infrastructure.

How do I choose the right AI conference for me?

Choose based on the decisions you need to make and the outcomes you want from the event. If your focus is enterprise strategy, implementation, transformation, and business impact, an enterprise AI conference is likely the better fit. If your focus is building, coding, testing, or working directly with AI technologies, a developer AI conference may be more relevant.

What are the best AI conferences in Germany for business leaders in 2027?

The best AI conferences in Germany for business leaders in 2027 depend on the goal. ATS is built for enterprise AI transformation and implementation; Rise of AI is strong for curated ecosystem access; Big Data & AI World Frankfurt is relevant for data and technology execution; and Industrial Metaverse Conference is a specialist industrial-AI option.

Which AI event in Germany is best for enterprise AI transformation?

Accelerate Tomorrow AI Summit is designed specifically for business leaders, AI leaders, and transformation teams working on practical enterprise adoption. Its programme focuses on how organisations can prioritise use cases, move beyond pilots, scale adoption, and create measurable value.

Are German AI conferences useful for non-technical business leaders?

Yes, provided the event is designed around business challenges rather than only technical implementation. Enterprise-focused events can help non-technical leaders understand where AI can create value, what risks and trade-offs to manage, how teams need to change, and which questions to ask internal experts or potential partners.

Should I attend an AI conference in Berlin, Frankfurt, or Heilbronn?

Choose based on the purpose rather than the city. Berlin offers broad ecosystem and enterprise-transformation options through ATS, Rise of AI, and GITEX. Frankfurt is particularly useful for data, cloud, and enterprise technology topics. Heilbronn is the more focused choice for industrial applications such as digital twins, physical AI, and robotics.

Best Data, Cloud and AI Infrastructure Conferences in Europe for 2027

Data, cloud and AI infrastructure conferences in Europe explore the foundations companies need to put AI into everyday use.

Some focus on the data available to AI systems. Others examine cloud platforms, computing capacity, and the engineering work required to run applications reliably. Business-focused summits connect those choices with investment priorities and organisational needs.

This guide compares six conferences for 2027 by focus, audience, and location, helping you choose where to learn, exchange experience, or contribute your expertise.

Data, Cloud and AI Infrastructure Conferences in Europe at a Glance

Conference	2027 dates	Location	Main focus
Accelerate Tomorrow AI Summit	15-16 June	Berlin, Germany	Connecting data and infrastructure decisions with business AI adoption
Cloud & AI Infrastructure London	10-11 March	London, UK	Cloud architecture, operations, and infrastructure for AI
Big Data & AI World Frankfurt	19-20 May	Frankfurt, Germany	Enterprise data platforms, analytics, and AI applications
KubeCon + CloudNativeCon Europe	15-18 March	Barcelona, Spain	Open-source cloud platforms and technical infrastructure
Data Innovation Summit	18-20 May	Stockholm, Sweden, and online	Data engineering, AI infrastructure, and industry applications
Big Data LDN	22-23 September	London, UK	Data management, analytics, and AI implementation

Some 2027 programmes are still being developed. Check the official event websites for the latest details.

Qihua Wang of Lagardère speaks on stage at the Accelerate Tomorrow AI Summit about differences in AI adoption between China and Europe.

1. Accelerate Tomorrow AI Summit: Connecting Infrastructure with Business AI Adoption

When and where: 15-16 June 2027, Berlin, Germany.

The Accelerate Tomorrow AI Summit (ATS) explores how companies put AI into practice. It brings together business, technology, and transformation leaders, with 2,000+ business and AI leaders expected in 2027.

Data, Cloud & AI Infrastructure is one of its eight topic clusters. It covers the foundations for enterprise AI, including cloud and data platforms, computing resources, and supporting infrastructure.

For senior leaders, the important question is how those foundations support the work the business wants AI to do. An application may need faster access to data, a different deployment approach, or clearer control over running costs.

ATS is particularly relevant when these decisions involve several teams. Technology leaders assess what is feasible, business leaders define the requirements, and finance leaders examine the investment. Bringing these perspectives together makes it a strong choice for connecting infrastructure plans with practical AI adoption.

Explore the Accelerate Tomorrow AI Summit.

2. Cloud & AI Infrastructure London: Cloud Architecture and Operations

When and where: 10-11 March 2027, London, UK.

Cloud & AI Infrastructure London focuses on the environments organisations use to run their applications. It is part of Tech Show London, alongside events covering data, security, software operations, and data centres.

The organiser describes an audience including cloud architects, IT directors, and infrastructure leaders. Previous-edition themes included cloud automation, control over where data is stored and processed, cloud cost management, and preparing systems to support AI.

This makes Cloud & AI Infrastructure London relevant for teams evaluating how their existing infrastructure needs to change. The emphasis is on the cloud environment itself, including its operation, capacity, and cost.

Explore the Cloud & AI Infrastructure London website.

3. Big Data & AI World Frankfurt: Enterprise Data Platforms and AI

When and where: 19-20 May 2027, Frankfurt, Germany.

Big Data & AI World Frankfurt covers data, analytics, and AI, including data platforms, governance, generative AI, and automation.

It forms part of Tech Show Frankfurt, alongside events focused on cloud infrastructure, cybersecurity, and data centres. This puts data-related discussions within a wider enterprise technology setting.

Big Data & AI World Frankfurt is relevant for data and technology leaders comparing approaches to managing and using information across an organisation. Its conference and exhibition format brings together discussions of business requirements and the tools available to address them.

Explore the Big Data & AI World Frankfurt website.

4. KubeCon + CloudNativeCon Europe: The Engineering Behind Cloud and AI Systems

When and where: 15-18 March 2027, Barcelona, Spain.

KubeCon + CloudNativeCon Europe is the Cloud Native Computing Foundation’s flagship conference. It brings together adopters and technologists from open-source and cloud computing communities.

Its focus includes the platforms and engineering practices used to deploy and operate applications. The announced co-located events include Cloud Native AI + Inference Day and Open Sovereign AI + Cloud Day.

This makes KubeCon + CloudNativeCon Europe particularly relevant for engineers, architects, and platform teams examining how AI applications run in practice. It offers a more technical setting than a summit centred on business strategy and adoption.

Explore the KubeCon + CloudNativeCon Europe website.

5. Data Innovation Summit: From Data Foundations to Industry Applications

When and where: 18-20 May 2027, Stockholm, Sweden, with online attendance available.

Data Innovation Summit connects data and AI development with their application across industries. Its published 2027 structure includes Foundation Days on 18-19 May, followed by an Industry Day on 20 May.

Announced stages include data engineering, platform architecture, data quality, and AI infrastructure and operations. The Industry Day then examines applications in sectors such as manufacturing, finance, retail, and healthcare.

Data Innovation Summit is relevant for teams that want to understand both the technical foundations and the requirements of a particular industry. Its structure helps connect decisions about data and platforms with the work those systems need to support.

Explore the Data Innovation Summit website.

6. Big Data LDN: Data Management, Analytics, and Implementation

When and where: 22-23 September 2027, London, UK.

Big Data LDN is a conference and exhibition focused on data, analytics, and AI. The organiser describes an audience spanning senior data leaders, architects, engineers, analytics managers, and AI practitioners.

Its format combines conference sessions with an exhibition where participants can explore technologies and discuss their data requirements.

Big Data LDN is relevant for organisations examining how data is managed, made available, and used across teams. For an AI initiative, that can mean understanding what must change in the data environment before an application can work reliably. Big Data LDN offers a data-focused perspective within the broader infrastructure landscape.

Explore the Big Data LDN website.

How to Choose a Data, Cloud or AI Infrastructure Conference to Sponsor or Exhibit at

For cloud providers, data platforms, chipmakers, and infrastructure companies, the key distinction is which part of an organisation’s AI foundation their expertise supports.

A team evaluating computing capacity needs different conversations from one improving data access or agreeing an enterprise-wide infrastructure investment.

Assess Technical Responsibilities and Investment Involvement

Look beyond job titles alone. An architect may assess how a platform fits existing systems. A data leader may be responsible for access and quality. A CIO or business leader may weigh the investment against other AI priorities.

Consider which responsibilities are most relevant to the challenges your company helps address. Then ask organisers for audience information by role, function, sector, and geography.

If Germany or DACH is a priority, check regional participation. For specialist events within a larger technology show, distinguish the overall attendance figures from the audience of the individual event.

Choose Formats that Make the Trade-Offs Clear

Infrastructure decisions often involve trade-offs between performance, cost, control, and implementation effort.

A technical demonstration can show how a system works. A customer case study can explain why a particular approach was chosen, what it required, and how it performed in use. A roundtable can explore questions such as deployment choices, data access, or the cost of running AI at scale.

Check the available formats, how sessions are selected, and what each package includes. Choose an approach that gives participants enough detail to assess its relevance to their own organisation.

Attendees network around exhibition booths in the AI partner space at the Accelerate Tomorrow AI Summit 2026.

Data, Cloud & AI Infrastructure at ATS 2027

The Accelerate Tomorrow AI Summit brings together technology, IT, and data leaders alongside business executives exploring how to put AI into practice.

If your company provides cloud services, data platforms, computing hardware, or AI infrastructure, explore the relevant audiences and ways to contribute at ATS 2027.

Explore Data, Cloud & AI Infrastructure partnerships.

Frequently Asked Questions

Which data and AI infrastructure conferences in Germany should companies consider for 2027?

The Accelerate Tomorrow AI Summit in Berlin and Big Data & AI World Frankfurt offer different perspectives. ATS connects infrastructure decisions with business AI adoption across functions. Big Data & AI World Frankfurt offers a specialist data and analytics setting within the wider Tech Show Frankfurt.

Should infrastructure teams choose a technical or business-focused AI conference?

A technical conference is useful for evaluating architecture, deployment, and operations. A business-focused summit helps connect those decisions with organisational requirements, investment priorities, and implementation plans. The right choice depends on whether the immediate challenge is designing the system or agreeing what it needs to deliver.

What should infrastructure providers check before sponsoring a conference?

Connect with industry leaders, exchange practical insights, and become part of the community shaping the next era of enterprise AI.

2027 Waitlist