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ML & MLOps - Page 2

The ML & MLOps blogs category covers machine learning innovations and operational best practices, from model development to deployment and scaling.

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22 March 2023
| By Polina Sukhostavets

Machine Learning for Demand Forecasting: Impact, Practical Tips, and Use Cases

Let us face it: demand trends are getting harder to predict. Customer expectations and external business factors become more complex every year, so traditional prediction methods cannot cope with the growing amount of versatile data sources. But what tool can? The answer lies in technology.  To be fair, no technology provides 100% accurate predictions. Nevertheless, machine learning (ML) demand forecasting...

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15 January 2021
| By Yuliia Melnik

Machine learning in dynamic pricing: CHI Software’s experience 

One of the critical decisions a company makes about a product is its price. Nowadays, merchants require sophisticated pricing strategies to succeed in a highly competitive marketplace and satisfy all consumers' needs. Businesses face two key challenges: optimizing prices and managing income in a constantly changing environment. So, companies use a strategy called dynamic pricing to solve them simultaneously.   The method's efficiency can be noticeably increased with artificial intelligence (AI)...

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1 October 2020
| By Yuliia Melnik

Machine Learning in Autonomous Driving Industry: CHI Software’s Experience

Machine learning in self-driving cars is the way to use technology, whose scope of the application shows rapid expansion recently. Autonomous vehicles (also known as AV) are a "new black" in the world of navigation, long-distance trucking, and industrial and logistic automation as a whole. According to Globe Newswire, the global machine learning market is going to grow at a CAGR of around...

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