AWS Machine Learning

DECEMBER 19, 2023

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Data and model management provide a central capability that governs ML artifacts throughout their lifecycle.

Analytics 134

Analytics Engineering Government Best practices 134

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 135

Management APIs Engineering Government 135

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 98

APIs Analytics Engineering Technology 98

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 98

Engineering APIs Accountability industry solution 98

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 133

Government APIs industry solution Education 133

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 118

Call Center APIs Engineering Accountability 118

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 131

Personalization Construction Consulting Consulting 131