Seeq is an advanced analytics solution for process manufacturers that enables organizations to rapidly investigate and share insights from data in Amazon Web Services, as well as contextual data in manufacturing and business systems. Seeq Workbench: Workbench is Seeq's application for engineers...
Univariate time series are datasets comprised of a single series of observations with a sequential ordering and a model is required to learn from the series of past observations to predict the next value in the sequence. This algorithm aims to do the same using one dimensional convolutional neural...
Algorithm - Fulfilled on Amazon SageMaker
This solution provides compositional analysis and predicts the number of incidents pertaining to each ticket group. The insights around incident distribution helps in proper capacity planning, resulting in efficient resource utilization.
Model Package - Fulfilled on Amazon SageMaker
Passenger Traffic Forecasting generates 30 weeks of forward forecast of passengers using historical data. This solution will help businesses such as airlines, railways, bus and ferry operators to better assess the number of incoming passengers and provide them a better travel experience. It uses...
Model Package - Fulfilled on Amazon SageMaker
Absenteeism at work forecasting generates 30 days of forward forecast of employee absenteeism using historical data. This solution helps businesses to optimize their workforce and related infrastructure in an efficient manner. It uses ensemble ML algorithms with automatic model selection...
Model Package - Fulfilled on Amazon SageMaker
Product Demand Forecasting generates 36 months of forward forecast of the demand 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
Operating Expenses Forecasting generates 30 weeks of forward forecast of the operating expenses using historical data. This will help businesses predict and manage their operating expenses more effectively through better working capital management and improved planning for resource allocation. The...
Model Package - Fulfilled on Amazon SageMaker
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Forecasting demand accurately is key to running an efficient supply chain, keeping inventories stocked to the ideal levels and fulfilling your customer orders. Analytics-based demand forecasting is more accurate than other approaches, allowing you to minimise money tied up in stock, avoid shortages...
Algorithm - Fulfilled on Amazon SageMaker
Mphasis network capacity planner helps businesses forecast their network usage. This will help businesses asses their network requirements and make better cost-efficient decision. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better...
Model Package - Fulfilled on Amazon SageMaker
Server Utilization Forecasting enables enterprises to optimize server allocation and utilization by generating 30 days of forward forecast of server usage. This helps enterprises to plan their server allocation strategy across the cloud and on premise scenarios using historical data. It uses...
Model Package - Fulfilled on Amazon SageMaker
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