

PREDICT AND OPTIMIZE
INTELLIGENCE THAT ADAPTS
DAVinCI Labs is a platform that incorporates Artificial Intelligence (artificial intelligence) and Machine Learning (Machine Learning), so that the users of the business areas can execute mathematical models and predefined complex algorithms, as well as know the correlation that exists between the different variables that exist, among many other things; and that this allows them to know their management indicators (KPI's) in advance, to support and optimize their decisions beyond automated machine learning, that is, in a few words:
PREDICTIVE ANALYTICS
DAVinCI Labs can be applied in a wide variety of industries, areas and cases, such as:

DAVinCI LABS is an artificial intelligence-based predictive analytics software that discovers patterns within business data with machine learning algorithms. The findings will be turned into a deployable prediction model that can be easily integrated with virtually any strategic system. You can do credit scoring, underwriting, fraud detection, targeted marketing, among many things that require a view of the future based on historical data.


With the predictability of artificial intelligence as a starting point, the performance of these models can be further improved with the experience of users in the industry. Its design and features were developed through numerous consulting projects with large financial institutions in credit rating and insurance underwriting, among many others.








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MODULE OF
MODELING
PREDICTIVE
MODULE OF
OPTIMIZATION OF
DECISIONS
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DAVinCI LABS automates the most complex processes associated with machine learning. The tool's artificial intelligence technology will provide data analysis and predictive modeling settings that do not require manual input by the user, yet all essential manual data options and visualization features are available. This means that any company with structured data with specific information that they want to predict for strategies/trades can create powerful machine learning prediction models with variousclicks of the mouse.
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