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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale. The steps are as follows: Open AWS Cloud9 on the console.

Scripts 78
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Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). With the advent of these LLMs or FMs, customers can simply build Generative AI based applications for advertising, knowledge management, and customer support.

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Build an agronomic data platform with Amazon SageMaker geospatial capabilities

AWS Machine Learning

To meet the excess demand, farmers need to maximize crop yield and effectively manage operations at scale, using precision farming technology to stay ahead. These differences in satellite images and frequencies also lead to differences in API capabilities and features. Integrated access to Sentinel satellite imagery and data for ML.

APIs 78
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Streamline Sales Processes with Enterprise CPQ

Cincom

Managing sales processes across large organizations is complex. Fortunately, Configure, Price, Quote (CPQ) software provides specialized solutions purpose-built for streamlining sales in enterprise environments. Onboarding Challenges: Getting new reps trained and ramped up to full productivity is time-intensive and expensive.

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Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models

AWS Machine Learning

Bosch is a multinational corporation with entities operating in multiple sectors, including automotive, industrial solutions, and consumer goods. We include CNN-QR and DeepAR+, two off-the-shelf models in Amazon Forecast , as well as a custom Transformer model trained using Amazon SageMaker. Modeling approaches. Amazon Forecast.

APIs 87
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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

Because your models are only as good as your training data, expert data scientists and practitioners spend an enormous time understanding the data and generating valuable insights prior to building the models. A Studio domain managed policy attached to the AWS Identity and Access Management (IAM) execution role. Prerequisites.