This AI enables the efficient integration of data, decisions, and operations across companies. SPREEV offers a no-code or low-code platform for automating machine learning, facilitating the introduction and adoption of AI/ML in the organizations. This tool significantly improves efficiency and productivity, helping to sustain profit margins in the face of rising costs. By applying various types of analyses, SPREEV generates relevant insights, increases the ability to make informed decisions and transforms work processes. The use of semantic analysis also helps decipher the content of web resources to optimize content management. Moreover, its ability to perform tasks of data transformation, text analytics, and cloud migration ensures seamless integration with multiple sources. This makes SPREEV particularly beneficial for data analysts and data scientists who seek to accelerate testing and improve results.
This feature enables unified management of data and decisions for all business sectors. It provides an overview for more informed decision-making and a more efficient work process. Useful for managers looking to optimize daily business operations.
Facilitates the introduction and adoption of AI in the company through a platform machine learning that requires no coding skills. Allows automating the selection of algorithms, saving time and resources, ideal for analysts looking to accelerate their work processes.
Uses ontologies to analyze the content of social media and other web resources, combining text analytics with semantics. This feature is crucial for marketing and communications professionals looking to improve the relevance of their content and their user engagement.
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