Many studies have confirmed that children who enter kindergarten with strong early reading (and math) skills on the long run attend college studies, own homes and are financially strong situated. We are now developing a model who monitors real time words used in the kindergarten surroundings which supports guidance towards increasing word vocabulary. This brings a scientific base for classification of conversation methods used in the children’s (0-4 years) environment as more or less successful.
The Airport Technology Lab of these days require solid aviation data to develop models that can identify variables which are key for performance improvement. Airports and Aviation in general are always looking for improving efficiencies. Recently focus moved also to gain efficiencies to be a more sustainable branch. Ingenuo develops the initial digital twin in which such models and algorithms can be designed with real time data shared by airports, airliners and other aviation related activities.
At the end of 2021, the US London Interbank Offered Rates (US LIBORs) will expire. This rate will be replaced by a new secured overnight rate, the Secured Overnight Financing Rate (SOFR). This replacement will take place using a ’big bang’ approach, thus, on the 31st of December 2021, the US LIBOR will expire and the SOFR has to be widely adopted, immediately. Since the US LIBOR is often used for pricing and discounting options and derivatives, this transition will be tremendously large. Ingenuo creates a model for the SOFR which enables forecasting the value of the SOFR and SOFR futures.
Crypto currencies enable transactions between parties with highly anonymous levels. This value chain attracts also activities that are qualified by governments as illegal and/or a mechanism for money laundering. Ingenuo developed an artificial intelligence-based algorithm that tracks and traces specific transactions, using entry and exit points between the crypto blockchain environment and monetary systems.
As a review assignment Ingenuo analyzed profile and user data of social media platforms that can be obtained by third parties. Innovative models were designed to see whether or not user data was certified as trustworthy (probability that specific user data is indeed related to a ‘real’ individual) or not (probability that specific user data is related to fake, simulated or bot-related mechanisms). This enables businesses to value more realistic the use of data (deviations detected 5% to sometimes up to 30%) as well effectiveness of adds/advertising online marketing budgets (which most of the time businesses has to rely on the data received from the add-sellers themselves).