1- Artificial intelligence analysis and model specific to each sector, department and problem 2- Artificial intelligence models that are outdated and less successful 3- Insufficient supply and high cost of data scientists 4- Long analysis process with AI methods such as deep learning 5- Inelastic structure of the data preparation 6- Data integration 7- GDPR
1- We have 3 engines for all problem. They work interactively together or separately. A solution to business problems of each department and company of all sizes with a single engine. 2- The literature is always reviewed and AutoML based engines are updated with state of art algorithms. 3- Budget friendly Opex and Capex models with no need to data scientist 4- In minute 5- Just first and last data rule 6- Integration with 28 data sources. 7- Engines doesn't need personal data to analysis.
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