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CIOs contend with gen AI growing pains

CIO

MIT event, moderated by Lan Guan, CAIO at Accenture Accenture “98% of business leaders say they want to adopt AI, right, but a lot of them just don’t know how to do it,” claimed Guan, who is currently working with a large airliner in Saudi Arabia, a large pharmaceutical company, and a high-tech company to implement generative AI blueprints in-house.

Airlines 204
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Multiclass Text Classification Using LLM (MTC-LLM): A Comprehensive Guide

Perficient

Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning.

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have a relatively straightforward goal — getting people in seats — but they’ve traditionally relied on inefficient and outdated statistical modeling methods to predict what prices and other conditions will sell tickets.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

Airlines 248
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Lufthansa’s digital future takes flight with ‘Digital Hangar’

CIO

Each Hangar houses agile coaches, business analysts, data and analytics specialists, product owners, Scrum masters, software engineers, and user interface designers — all with one mission: to elevate the airlines’ digital customer experience before, during, and after the flight. Experience is not only the cherry on the cake.”

Airlines 195
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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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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.