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Data Engineering and Analytics
A modernized data architecture, strategy, and tools lets you work with your data faster and more cost-effectively. Whether you’re establishing a data lake, lakehouse, data warehouse or data mart, or you’re modernizing an outdated and underperforming ETL pipeline, our engineering experts can help.
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Machine Learning Operations (MLOps)
Keep your models up to date with the latest parameters and hyperparameters. We’ll develop the underlying data architecture, model pipelines and stores, and automate training jobs, QA processes, and parameter validation to ensure the efficiency, accuracy, and accessibility of your models. Or, receive expert advice on integrating types of machine learning into your cloud environment.
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Data Science and AI/ML
Train custom algorithms to work with your data and improve product innovation, decision-making, and business operations. With techniques like predictive analytics, Natural Language Processing, classification, and computer vision, our team will develop state-of-the art solutions to make the most of your data.
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Generative AI
Whether you’re just getting started or needing to scale your pre-existing model’s infrastructure, our AI specialists can help. Keep your data private and secure on AWS while developing models that empower applications, streamline customer experiences, boost your team’s productivity, and optimize business processes.
