The Datapred blog

On machine learning, time series and how to use them.

Prediction and prescription - Continuous intelligence twins (Part 2/2)

For continuous intelligence applications, the relationship between prediction and prescription is richer than described in the classic framework of analytics capabilities:
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Prediction and prescription - Continuous intelligence twins (Part 1/2)

The framework of analytics capabilities - distinguishing between descriptive, predictive and prescriptive analytics - is well known:  
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The next big thing (in business intelligence)

It’s always fun to watch business consultants and IT companies search for the next buzzword - throwing candidates to the wall, hoping that one of them will stick and help them own the next big thing. (IBM is particularly adept at the game, rotating buzzwords every two years.)
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Stop stacking, start aggregating

Data scientists are waking up to the fact that combining multiple, relatively simple predictive models is often more efficient, when tackling a time series forecasting challenge, than using the latest super-duper neural network.
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Datapred wins Airbus’s 2019 time series modeling challenge

on Jun 18, 2019 11:02:00 AM By | Datapred | 0 Comments | time series machine learning predictive maintenance modeling
Challenge designed to scout for top players in the field of time series analysis.  
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Datapred named a 2019 Cool Vendor in Sourcing & Procurement Applications by Gartner

Cool Vendor reports include vendors that are interesting, new, and innovative.
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Direct material procurement: beating the market is not the point

Datapred's machine learning software for direct material procurement helps companies save 3-5% off their commodity, energy and raw material costs year over year, through a unique combination of price predictions and constraint optimization.
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Custom loss functions - What they are and why you need them

Machine learning models often disappoint in production for a simple reason - they have the wrong target.
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Productizing machine learning models - What is required?

on Mar 19, 2019 12:37:43 PM By | Datapred | 0 Comments | machine learning continuous intelligence streaming data productization
We talk a lot with the data science teams of industrial companies, and it is striking how unaware they usually are of the gap between a good machine learning model and a production-ready machine learning application.
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How should you handle seasonality?

on Jan 14, 2019 2:07:43 PM By | Datapred | 0 Comments | predictive analysis seasonality holt-winters
Seasonality - recurring but not necessarily periodic data patterns - is a staple of time series modeling. Since capturing true seasonality greatly enhances model accuracy, we wanted to share our thoughts and experience on the detection and modeling of such data patterns.  
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