Open Data MICE

The use of artificial intelligence in the planning, organization and marketing of events is already a reality today: AI-supported data analyses can identify trends and patterns in order to optimize the addressing of potential target groups. Matchmaking tools, for example, have long been frequently used applications at events.

Applications such as ChatGPT deliver remarkable results, for example, in the automated creation of texts, in question catalogs for speakers, or in the automated generation of FAQ lists. It is also possible to create selection lists for event destinations and locations according to certain criteria. With increasing training of the systems, chatbots could in the future be able to output suitable event locations according to certain characteristics in the shortest possible time, going far beyond hard facts such as capacities or accessibility.

The changed search behavior of users, for example through the use of voice assistants or chatbots, directly influences the way in which information must be prepared online in order to be included in the output of digital tools.

For the products and services of German business event providers to be found and processed in the future at as many digital touch points as possible as well as across different output channels, they must be machine-readable and meet certain requirements, i.e. they must be available in a uniform manner. This provides the basis for efficiently using the possibilities of digital technologies such as AI for the marketing of products and services. By linking the data in a knowledge graph, the relationships between different data can also be displayed and delivered via semantic queries. 

Our “Open Data MICE“ strategic data management project aims at ensuring the availability of data for digital marketing to guarantee international visibility and thus the competitiveness of German MICE offers and services in the future. Strategic data management is a key task for MICE marketers in Germany.     

Open data is essential to achieve more visibility and reach for Germany as a MICE destination by providing content maintained as open data for various digital output channels. It also saves time for service providers managing their data and keeping it up to date. Plus, open data is a basis for innovative applications and services that generate added value for event planners. 

With our open data project, we want to create a data basis for mapping German MICE offerings through open and machine-readable data. To fully exploit the potential of open data, the GCB aims at achieving the following: 

• Collect relevant MICE data as comprehensively as possible 

• Develop a uniform data structure for MICE data 

• Provide content for all digital channels 

• Link the data with other data sources and peripheral data in a knowledge graph  

• Initiate new applications based on the linked data 

• Permanently operate and expand the data pool 

This mockup provides a glimpse into a potential future application in the field of event planning. By accessing the data stored in the knowledge graph, the chatbot offers an effective solution to facilitate the event planning process and optimize the search for suitable locations through user dialogue.