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.

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have a relatively straightforward goal — getting people in seats — but they’ve traditionally relied on inefficient and outdated statistical modeling methods to predict what prices and other conditions will sell tickets.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
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

Flight Price Predictor: Training Models to Pinpoint the Best Time for Booking

Altexsoft

Pricing in the airline industry is often compared to a brain game between carriers and passengers where each party pursues the best rates. How dynamic pricing in the airline industry works. Airlines employ the technology to forecast rates of competitors and adjust their pricing strategies accordingly. Internal factors include.

article thumbnail

10 emerging innovations that could redefine IT

CIO

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. The biggest worries are coming from websites that recognize how their data may be used to train AI models. Or maybe just ten or five or one?

article thumbnail

4 ways Swedish CIOs strengthen defenses against bombarding AI sales

CIO

“Many handle the word a bit carelessly,” says Charlotte Svensson, CIO at SAS, the Scandinavian airline. It can be about anything from classic data analysis and advanced data analysis, to robotics or machine learning. SAS works a lot with AI already, though, with more traditional machine learning and evolving generative AI tools.

article thumbnail

Father and son duo take on global logistics with Optimal Dynamics’ sequential decision AI platform

TechCrunch

Like “innovation,” machine learning and artificial intelligence are commonplace terms that provide very little context for what they actually signify. A classic problem is how to optimize an airline’s schedule to maximize profit. Trying to train a computer on weird edge events [like that] is hard,” he said.

article thumbnail

Data Science use cases & tools

Apiumhub

Machine Learning. Machine learning is the backbone of data science. Modeling is also a part of ML and involves identifying which algorithm is the most suitable to solve a given problem and how to train these models. Data Science pillars. Healthcare. Cybersecurity.

Tools 72