AWS Machine Learning Consulting Services
Deploy AI/ML at scale to automate analytics, enhance customer experiences, forecast outcomes, and identify patterns
Elevate Your Business with Machine Learning
When executed well, artificial intelligence (AI) and machine learning (ML) enable businesses to transform products, services, and processes by automating much of what engineering teams do manually. InfraNext can help you realize the full potential of ML across your business using powerful, purpose-built solutions from Amazon Web Services (AWS).
Achieve More With InfraNext and AWS
Streamline Operations
Identify and eliminate redundant processes by delegating manual tasks to intelligent ML programs.
Solve Complex Challenges
Forecast trends, optimize pricing, and proactively mitigate risk by relying on ML algorithms designed to accelerate innovation.
Why Choose InfraNext as Your Machine Learning Consulting Partner?
Proven AI/ML Success
InfraNext earned the AWS Machine Learning Competency, validating our team’s ability to bring AI/ML applications to life for our clients. We have deep experience working with customers in diverse industries to build intelligent, data-driven ML solutions that improve over time and improve bottom-line profitability.
Mastery Over AWS AI/ML Solutions
Our ML experts are well-versed in AWS’s most powerful AI/ML services, including Amazon SageMaker, Amazon Forecast, Amazon Translate, Amazon Comprehend, Amazon Personalize, and more. By implementing these services, we enable companies to transform their businesses for the digital age in the most innovative manner possible. Our GenAI AppLink creates a bridge that seamlessly interlinks GenAI into any of your applications.
Common Machine Learning Use Cases
Recommendation Engines
Study end-user behaviors en masse and train up recommendation engines that can deliver tailored results to both new and returning customers.
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MLOps
Automate the lifecycle of ML algorithms in production — from initial model training to retraining against new data. Identify duplicate data to ensure only one copy is stored while the rest is marked as duplicate for further analysis.
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