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 133

Management APIs Engineering Government 133

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 132

Analytics Engineering Government Best practices 132

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 98

APIs Metrics Automotive Engineering 98

AWS Machine Learning

APRIL 25, 2023

Data scientists typically carry out several iterations of experimentation in data processing and training models while working on any ML problem. Data scientists typically carry out several iterations of experimentation in data processing and training models while working on any ML problem.

Engineering 101

Engineering Metrics Construction Management 101

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 52

Enterprise Sales CRM Upselling 52

AWS Machine Learning

JANUARY 15, 2025

Each model has different features, price points, and performance metrics, making it difficult to make a confident choice that fits their needs and budget. These reports contain vast amounts of data, which can be overwhelming and time-consuming to analyze.

Automotive 104

Automotive Feedback Sales Analytics 104

AWS Machine Learning

OCTOBER 21, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The training data must be formatted in a JSON Lines (.jsonl) from sagemaker.s3 from sagemaker.s3

APIs 142

APIs Scripts Finance Real estate 142