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have a relatively straightforward goal — getting people in seats — but they’ve traditionally relied on inefficient and outdated statistical modeling methods to predict what prices and other conditions will sell tickets.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

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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.

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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?

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AWS recognized as a first-time Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

AWS Machine Learning - AI

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. These services play a pivotal role in addressing diverse customer needs across the generative AI journey.

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AI on the mainframe? IBM may be onto something

CIO

Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases.

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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.

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What is RPA? A revolution in business process automation

CIO

Others see RPA as a stopgap en route to intelligent automation (IA) via machine learning (ML) and artificial intelligence (AI) tools, which can be trained to make judgments about future outputs. What are the benefits of RPA? RPA provides organizations with the ability to reduce staffing costs and human error.