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How Lufthansa Uses Apache Kafka for Data Integration and Machine Learning

Dzone - DevOps

Aviation and travel are notoriously vulnerable to social, economic, and political events, as well as the ever-changing expectations of consumers. An interactive conversation with Lufthansa as an on-demand video is added at the end as a highlight if you want to learn more. The coronavirus was just a piece of the challenge.

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5 ways AI is showing promise as a decision-maker

CIO

An AI system can gather data from customer relationship management software, social media profiles, email interactions, and purchase histories to identify the candidates most likely to convert. Outcomes are fed back into machine learning models to improve prediction accuracy continually.

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12 most popular AI use cases in the enterprise today

CIO

Personalization When you log onto your favorite social media app or streaming service, the experience is tailored to your personal taste and browsing habits — all the way down to the targeted advertisements. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

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Hopper raises $170M and partners with Capital One on a new cardholder travel booking portal

TechCrunch

” That pre-COVID transformation that Pichette is referring to is Hopper’s shift from being essentially a machine learning-powered lowest fare finder to what co-founder and CEO Fred Lalonde says is really much more of a fintech company. And so if it has these attributes, then we’re interested.”

Travel 250
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What is predictive analytics? Transforming data into future insights

CIO

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Airlines frequently use predictive analytics to set ticket prices reflecting past travel trends.

Analytics 350
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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. A number of high-profile software failures at companies like Southwest Airlines or EasyJet show how code that runs well most of the time can also fail spectacularly.

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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

Altexsoft

Internal systems — like a property management system (PMS) in hospitality, a passenger service system (PSS) used by airlines, or an OTA back office — are the backbone and the most relevant source of transaction details, booking histories, and inventory data for a travel business. geolocation, profiles, and feedback.

Travel 52