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Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

AWS Machine Learning - AI

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. He is passionate about designing machine learning systems to serve customers at scale. Now you’re ready to train your model.

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Chronosphere raises $200M at a $1B+ valuation for cloud-native monitoring, adds granular, distributed tracing to its dashboard

TechCrunch

” But, he added, “there was nothing on the market designed for this type of architecture” that others could equally use, so they wanted to tackle the more general challenges of cloud-native complexity by building that platform themselves.

Cloud 209
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AI in Media: Redefining Customer Experience with Immersive Stories

Trigent

AI plays an important role in enhancing the user experience across all the six segments of the Media and Entertainment (M&E) industry: Films & TV, social media, journalism, gaming, music, and sports. Improved entertainment quotient in sports broadcasting. Customer-focused experience with content personalization.

Media 105
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Flight Price Predictor: Training Models to Pinpoint the Best Time for Booking

Altexsoft

concerts, sports competitions, festivals, terrorist attacks, natural disasters, political gatherings, epidemic outbursts, and. Read our article Preparing Your Dataset for Machine Learning to avoid common mistakes and handle your information properly. The model combines time series analysis with. Internal factors include.

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Dynamic Pricing Explained: Use in Revenue Management and Pricing Optimization

Altexsoft

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. Functionality of IBM Dynamic Pricing.

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Data-first approach improves audience experiences and drives advertising revenue in the streaming world

Capgemini

More and more content is being streamed now, from popular TV shows and movies to high-value entertainment such as premium sports, game shows, and new movies. Machine learning algorithms can analyze thousands of variables to deliver personalized and highly targeted content and ads. AI-powered content personalization.

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Creating a circular economy through AI

Capgemini

01: Make it last: Design circular products using iterative machine learning and AI suggestions that will prolong the product life cycle and tackle resource scarcity. He is an avid sports lover and loves to travel across places with varying geographies and history.