Remove Airlines Remove Machine Learning Remove Testing
article thumbnail

WestCap and Peter Thiel-backed FLYR Labs closes $150M Series C

TechCrunch

Airlines have a relatively straightforward goal — getting people in seats — but they’ve traditionally relied on inefficient and outdated statistical modeling methods to predict what prices and other conditions will sell tickets. Enter FLYR Labs. — the model will get smarter over time, FLYR says.

Airlines 248
article thumbnail

Using Cloudera Machine Learning to Build a Predictive Maintenance Model for Jet Engines

Cloudera

Running a large commercial airline requires the complex management of critical components, including fuel futures contracts, aircraft maintenance and customer expectations. Airlines, in just the U.S. Airlines typically operate on very thin margins, and any schedule delay immediately angers or frustrates customers. Introduction.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Machine Learning Metrics: How to Measure the Performance of a Machine Learning Model

Altexsoft

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. So, how would you measure the success of a machine learning model? So, how would you measure the success of a machine learning model?

article thumbnail

Cathay Pacific to take cloud journey to new heights

CIO

Instead, the publicly held operator of Cathay Pacific Airlines and HK Express is shifting from migration to optimization mode in an effort to wrest additional benefits from its all-in cloud transformation. This is helpful in an era in which airliners are having difficulty finding pilots to hire.

Cloud 178
article thumbnail

Propensity Model: How to Predict Customer Behavior Using Machine Learning

Altexsoft

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. This post is going to shed light on propensity modeling and the role of machine learning in making it an efficient predictive tool. What is a propensity model?

article thumbnail

Price Forecasting: Applying Machine Learning Approaches to Electricity, Flights, Hotels, Real Estate, and Stock Pricing

Altexsoft

Predictive analytics requires numerous statistical techniques, such as data mining (identification of patterns in data) and machine learning. The goal of machine learning is to build systems capable of finding patterns in data, learning from it without human intervention and explicit reprogramming.

article thumbnail

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning - AI

Write a response that appropriately completes the request.", "messages": [ {"role": "user", "content": "instruction:nnSummarize the news article provided below.nninput:nSupermarket customers in France can add airline tickets to their shopping lists thanks to a unique promotion by a budget airline.