TIME-SERIES FORECASTING.
Forecasting is an essential part of any business.
Nouns.ai specializes in developing and training these algorithms to understand a given stock market’s characteristics and benefit from any fluctuations that may occur.
Additionally, when customers have equipment maintenance needs (industrial machinery or items they sell) they need to schedule check-ups that are not too far apart from each other (to avoid repair costs) but not too often (to minimize maintenance costs).
Predictive Maintenance is what we suggest, where our tools monitor data from the machine’s sensors in real-time and anticipates when a machine must be called in for maintenance before it breaks down - thus avoiding repair costs and unnecessary preventative maintenance costs.
With proper forecasting you’ll plan better for the future and stay ahead of the competition!
Predictive Maintenance is what we suggest, where our tools monitor data from the machine’s sensors in real-time and anticipates when a machine must be called in for maintenance before it breaks down - thus avoiding repair costs and unnecessary preventative maintenance costs.
With proper forecasting you’ll plan better for the future and stay ahead of the competition!
If your forecasting skills are lacking, nouns.ai can provide you with tools that keep you one step ahead and give you the strong footing for better planning. We've worked with clients in need of predicting demand for their services or products.
This demand is driven by numerous factors, such as exponential growth, seasonality, periodic effects, transient effects caused by events, response to price changes and more. We will create tools that take all of these variables into account so your forecasts can be up-to-date on a regular basis or on demand.
We've had many customers interested in stock market predictions as well. This can be tricky due to its unpredictable nature; however, certain patterns do arise at different time scales due to collective psychological phenomena which can be utilized by learning algorithms.
This demand is driven by numerous factors, such as exponential growth, seasonality, periodic effects, transient effects caused by events, response to price changes and more. We will create tools that take all of these variables into account so your forecasts can be up-to-date on a regular basis or on demand.
We've had many customers interested in stock market predictions as well. This can be tricky due to its unpredictable nature; however, certain patterns do arise at different time scales due to collective psychological phenomena which can be utilized by learning algorithms.
To be successful, it's important to accurately anticipate how the environment and market conditions are going to change.
Our tech stack.
Our team of developers, data scientists and designers provide a comprehensive tech stack.
AI & Data Science
Pytorch
DVC
Mlflow
Amazon
sagemaker
sagemaker
Google auto ml
Vertex AI
Azure AI
Scikit-learn
Tableau
XGboost
Seaborn
Databreaks
Fastapi
Matlotlib
Pandas
Numpy
Tensor flow
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Flask
Kubernetes
Microsoft power BI
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Docker
R
Ploty
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Swift
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illustrator
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Azure
Google Cloud
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