AnyIdea AI and AI Prio Score

AnyIdea's AI layer has both a synthesis AI and a generative AI. Further details can be found under FAQs - Which AI does AnyIdea use?

The Foresight module is primarily driven by our proprietary Synthesis AI, which was developed in a long-term research project with two academic institutions and FFG Austria and is constantly being expanded and optimized. Based on an enormous amount of data (input), it provides important insights and a basis for decision-making (output).

AI-Scouts and data

AI scouts give the synthesis AI a clear direction and contextualization in order to analyse, link, weight and prioritize relevant data on a topic. The use of AI scouts not only captures important signals on a scouting topic, but also prioritizes them and summarizes them in so-called future fields according to recognized patterns and developments.

Which data is taken into account by the AI, further details on this, categories and their properties can be found under Data categories and properties.

Data-based future field identification

The Synthesis AI analyzes and clusters extensive signal data into Future Fields and evaluates the most important signals with an AI Prio Score. The data underlying the future field and its prio scores enable a precise assessment of the relevance and potential influence of the future field, fully traceable and always up-to-date. Identification takes place 'bottom-up', which means that the totality of all signals is taken into account and systematically evaluated.

More about trends here: Which trends does AnyIdea work with?

KI-PRIO Score

The AI Prio Score gives you a well-founded assessment of artificial intelligence with regard to the relevance of individual signals.

The development of the individual signals, the development of the sum of relevant signals, their distribution and occurrence in the respective data categories and their occurrence in relation to a time horizon of e.g. x months, provide information regarding the relevance, probability of occurrence and time to impact of technologies and topics.

Bottom up calculation

The future fields and the AI prio score are calculated bottom-up. This means that the totality of all signals is always considered and included in the calculations.

The language models used by AnyIdea take into account not only synonyms but also semantic similarities. The models are continuously updated and brought up to date. In addition to these models, specially developed algorithms are included that can weight and sort the data, data categories and search results accordingly. 

The AI processes documents, articles and signals and extracts the most important information. This information is transferred to a multidimensional vector space using a deep learning language model and then transferred to a vector space of a lower dimension, clustered and calculated.

A thematic weighting is calculated on the basis of cosine similarity, the topicality and number of signals and other textual and semantic similarities.

A time weighting for signals at the lowest level is carried out, among other things, on the basis of their data categories, e.g. scientific publications tend to be classified as more theoretical and future-oriented than start-ups and, on the other hand, news tends to be weighted less depending on their publication date and frequency due to the increased number and volatility.