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industry solution

Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

JANUARY 5, 2024

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.

Management

Management APIs Engineering Government

Build an agronomic data platform with Amazon SageMaker geospatial capabilities

AWS Machine Learning

DECEMBER 1, 2022

Data-driven decisions fueled by near-real-time insights can enable farmers to close the gap on increased food demand. However, scouting each field on a frequent basis for large fields and farms is not feasible, and successful risk mitigation requires an integrated agronomic data platform that can bring insights at scale.

APIs

APIs Analytics Engineering Technology

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Trending Sources

Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

FEBRUARY 6, 2024

Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format.

Government

Government APIs industry solution Education

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

AWS Machine Learning

NOVEMBER 1, 2022

Identifying, collecting, and transforming data is the foundation for machine learning (ML). According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. Overview of solution.

Engineering

Engineering APIs Accountability industry solution

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

AWS Machine Learning

SEPTEMBER 6, 2023

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). These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. This dataset is a large corpus of legal and administrative data.

Enterprise

Enterprise APIs Real estate Construction

Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

AUGUST 21, 2024

This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. As the volume of call data grows, traditional analysis methods struggle to keep pace, creating a demand for a scalable solution.

Call Center

Call Center APIs Engineering Accountability

Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. The training data must be formatted in a JSON Lines (.jsonl)

APIs

APIs Scripts Finance Real estate

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

AWS Machine Learning

SEPTEMBER 23, 2022

Bosch is a multinational corporation with entities operating in multiple sectors, including automotive, industrial solutions, and consumer goods. Because neural forecasters are trained on historical data, the forecasts generated based on out-of-distribution data from the more volatile periods could be inaccurate and unreliable.

APIs

APIs Metrics Automotive Engineering

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

NOVEMBER 18, 2024

GuardDuty combines machine learning (ML), anomaly detection, and malicious file discovery, using both AWS and industry-leading third-party sources, to help protect AWS accounts, workloads, and data. Generative AI can make predictions about future security threats or attacks by analyzing historical security data and trends.

APIs

APIs Accountability Engineering Enterprise

Streamline Sales Processes with Enterprise CPQ

Cincom

MAY 8, 2024

Inefficient Business Processes: Complex approval chains, inconsistent data, and convoluted system workflows slow down sales. Sales data gets scattered across systems. Different processes and data formats make consolidation difficult. Centralized Pricing Management: Pricing data gets consolidated within CPQ.

Enterprise

Enterprise Sales CRM Upselling

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

AWS Machine Learning

FEBRUARY 13, 2023

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. Navigate to the AWS Cloud9 console.

Scripts

Scripts Best practices Transportation Construction

Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

SEPTEMBER 18, 2024

We employed other LLMs available on Amazon Bedrock to synthetically generate fictitious reference materials to avoid potential biases that could arise from Amazon Claude’s pre-training data. Nonetheless, our solution can still be utilized. Construction Technology Solutions - Construction Data Analytics and Reporting.

Personalization

Personalization Construction Consulting Consulting

Multilingual content processing using Amazon Bedrock and Amazon A2I

AWS Machine Learning

NOVEMBER 13, 2024

These large language models (LLMs) are trained on a vast amount of data from various domains and languages. Solution overview This post outlines a custom multilingual document extraction and content assessment framework using a combination of Anthropic’s Claude 3 on Amazon Bedrock and Amazon A2I to incorporate human-in-the-loop capabilities.

APIs

APIs Accountability industry solution Management

Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

JUNE 14, 2023

Amazon SageMaker is a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. You then can directly deploy the model to production with just one click or iterate on the recommended solutions to further improve the model quality.

Best practices

Best practices Scripts Education Engineering

Modernizing data science lifecycle management with AWS and Wipro

Build an agronomic data platform with Amazon SageMaker geospatial capabilities

Trending Sources

Accenture creates a regulatory document authoring solution using AWS generative AI services

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

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

Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

Amazon Bedrock Custom Model Import now generally available

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

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

Streamline Sales Processes with Enterprise CPQ

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

Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

Multilingual content processing using Amazon Bedrock and Amazon A2I

Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

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