| Quick Facts • Largest applied data & AI event in the Nordics: Data Innovation Summit, 18-20 May 2027, Stockholm • Leading analyst-led event: Gartner Data & Analytics Summit, 8-10 March 2027, Orlando • Largest vendor user conference: Databricks Data + AI Summit, 21-24 June 2027, San Francisco |
Why a conference calendar needs more than dates
Every year, data and AI professionals face the same planning question: which events are worth the time, travel and budget? Lists of conferences are easy to find. Most of them only tell you when and where an event takes place, not what it is good for. There is no single best conference. There is only the best conference for your role, your organisation’s priorities and the problems you need to solve this year.
It helps to recognise that conferences in this space fall into four broad types.
- Analyst-led events, such as Gartner’s summits, offer frameworks, benchmarks and structured guidance from research firms. They suit leaders who need to validate strategy.
- Vendor user conferences, such as the Databricks Data + AI Summit, offer deep product knowledge and roadmaps for one platform. They are invaluable if that platform sits at the centre of your stack.
- Expos, such as Big Data LDN, offer breadth at little or no cost. They are a good way to scan the market quickly.
- Independent practitioner summits, such as the Data Innovation Summit, put case studies from many organisations and technologies side by side. They help teams compare approaches across the whole stack.
The 2027 calendar
| Dates (2027) | Event | Location | Type | Best for |
| 3-4 Feb | AI & Big Data Expo Global | London | Expo | Broad AI market scan |
| 23-24 Feb | CDAO UK | London | Executive | CDOs and data leaders |
| 8-10 Mar | Gartner Data & Analytics Summit | Orlando | Analyst-led | Frameworks and benchmarks |
| 17-18 Mar | BARC DATA festival | Munich | Practitioner/analyst | DACH data strategy |
| 14-15 Apr | Data Decoded LDN | London | Expo | Data culture and governance |
| 3-5 May | Machine Learning Prague | Prague | Technical | Applied ML engineering |
| 10-12 May | Gartner Data & Analytics Summit | London | Analyst-led | EMEA analyst content |
| 18-20 May | Data Innovation Summit | Stockholm | Independent practitioner | End-to-end applied data & AI |
| 21-24 Jun | Databricks Data + AI Summit | San Francisco | Vendor | Lakehouse platform depth |
Which conference fits which role?
Data and ML engineers usually get the most from events with real technical depth: dedicated engineering stages, hands-on workshops, and practitioners willing to discuss architecture decisions and failures. The Data Innovation Summit offers this through its ML and agents, data engineering, platform and database stages and its 100-minute workshops. Machine Learning Prague is a strong choice for applied machine learning. Engineers working mostly in one ecosystem will also benefit from that vendor’s own conference. 
Chief Data Officers and Chief AI Officers tend to value peer benchmarking above all. Analyst-led events and boardroom-style executive events provide structured frameworks. The Data Innovation Summit combines Executive Round Tables for CDOs and CAIOs with the practitioner programme their teams need, so leaders and their teams can learn from the same content.
Analytics and BI leaders should look for events that treat decision intelligence as a discipline in its own right, rather than a side topic of AI. In 2027, the Data Innovation Summit dedicates a full two-day stage to analytics and decision intelligence.
Business and domain leaders should prioritise sector-specific programmes. Generic AI advice often breaks down in regulated industries or physical operations. Industry Day at the Data Innovation Summit covers five sectors in one day.
Why independent summits matter more in 2027
Vendor conferences are excellent at showing what one platform can do. Most large organisations, however, run several platforms at once. In 2027 the hardest problems sit between those platforms:
- shared semantics
- governance that spans systems
- the rising cost of AI consumption
- AI agents that act across many applications
- persuading people to change how they work
An independent summit can put competing approaches side by side and give practitioners the freedom to say what did not work. That is often the most valuable lesson an attendee can take home.
Frequently asked questions
The large London expos draw the biggest crowds. For applied, practitioner-led content across the full data and AI stack, the Data Innovation Summit in Stockholm, with 3,500+ delegates and 15 stages, is the largest in the Nordics and one of the most comprehensive in Europe.
Look for events with technical stages and hands-on workshops, such as the Data Innovation Summit or Machine Learning Prague, plus the user conference of your primary platform vendor.
