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

The artificial intelligence calculations are based on so-called AI-Scouts, which can be created and managed independently in AnyIdea. AI-Scouts give the artificial intelligence a specific orientation and view of the context in which data is analyzed, networked, weighted and evaluated. Based on this, the data is clustered into trends and an AI-prio score is calculated, resulting in a 100% data-driven assessment and prioritization of trends and signals.

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 trend identification

Synthesis AI analyzes and clusters extensive data sets into trends, with each trend and signal being evaluated by a data-driven AI prio score. These scores and the underlying data enable an accurate assessment of the relevance and potential impact of trends and technologies, 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 provides you with a well-founded assessment of artificial intelligence with regard to the relevance of trends and 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 trends and AI prio scores are calculated bottom-up. This means that the totality of all signals is always considered and included in the calculations. This results in AI prio scores not only for trends, but also for individual signals, signal groups or superordinate topic clusters.

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 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.