Inventory Forecasting generates 30 months of forward forecast of the Inventory using historical data. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs...
Model Package - Fulfilled on Amazon SageMaker
"Optimize Your Business Operations with AWS Forecast: Fast-Track Consulting and Implementation Services" Scope: Conduct a review of the organization's business objectives and data assets to identify areas where AWS Forecast can provide the most value. Develop a basic forecasting model using AWS...
A composable Zero Code AI Platform with Machine Learning, Deep Learning, and AI capabilities such as Predictive Analytics, Neural Networks, Natural Language Processing, & Computer Vision combined with Supply Chain ontology (semantics) driven Data Integration, Data Preparation, Treatment, and...
Cloud storage cost forecasting helps businesses assess the cost incurred from their cloud storage based on historic data. This will help businesses get an understanding of the potential cost for their cloud resources and help them plan better to manage storage services like S3 buckets, EC2 storage,...
Model Package - Fulfilled on Amazon SageMaker
Free Trial
The continuously trained vector autoregressive forecast (CTVARF) model is to forecast large set of time-series based always on the latest updated model trained by the latest available data. The time-series are assumed to be influenced by histories of a set of unobserved factors commonly affecting...
Algorithm - Fulfilled on Amazon SageMaker
Free Trial
This algorithm performs time series forecasting with the Closed-Form Continuous-Depth (CfC) network. It implements both training and inference from CSV data and supports both CPU and GPU instances. The training and inference Docker images were built by extending the PyTorch 2.1.0 Python 3.10...
Algorithm - Fulfilled on Amazon SageMaker
Data evolves over time, causing a change in the distributions and interpretation. This is known as drift and causes a degradation in ML model performance. The Drift Detector detects changes in the incoming data, and provides useful insights to the user with respect to the data and model behavior....
Model Package - Fulfilled on Amazon SageMaker
Mphasis server storage forecasting helps businesses assess the storage space on their servers based on historic data. This will help businesses get an understanding of their server usage and help them plan better. It uses ensemble ML algorithms with automatic model selection algorithms. This...
Model Package - Fulfilled on Amazon SageMaker
Predictive maintenance uses machine learning to help determine the condition of in-service equipment in order to accurately predict when maintenance should be performed, around the production schedule. Using predictive maintenance to monitor your equipment and other assets can help determine...
A comprehensive AI/ML platform solution offering, covering the entire breadth of manufacturing operations and its supply chain, providing solutions for lead time insights, demand forecasting, production scheduling, inventory management through optimization as well as dynamic slotting, predictive...
showing 31 - 40