Inputs
Definition of cloud architecture to create ETL pipeline. Usually employing Data Factory, Datalake, Databricks, etc.
Definition of cloud architecture to create ETL pipeline. Usually employing Data Factory, Datalake, Databricks, etc.
Creation of gold, silver, and bronze containers for different stages of data processing.
Exploratory data analysis and various steps of ETL performed on the data.
Training and deploying ML models using the processed data transformed and loaded in the ETL steps.
Integrating Large Language Models (LLMs) with your existing knowledge base can revolutionize the way your business accesses and utilizes information. Syone can help you integrate these models, providing a new level of expertise.
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Our Metaheuristic Optimization techniques are designed to solve complex business problems by finding the best solutions in large solution spaces, using Genetic Algorithms or other metaheuristic approaches. We empower your business to make data-driven decisions that maximize efficiency and reduce costs.
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Our Recommender Systems use cutting-edge algorithms to analyze user behavior and preferences, employing recommendation approaches such as Collaborative filtering, Content-based, Demographic-based, and so on. This personalization not only enhances user experience but also boosts your conversion rates.
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Statistical analysis of datasets and dataset extension or creation using statistical approaches.
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Building data pipelines in Azure cloud, orchestrated with Azure Datafactory, transforming data and creating data-warehouses and datamarts with Azure Datalake, Azure Synapse and Azure Databricks, etc.
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Building ML models that are able to predict or forecast based on historical data.
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