Predicting city traffic using a machine learning model

A new machine learning model can predict traffic activity in different zones of cities. To do so, a Complexity Science Hub researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic. Understanding how different urban zones interact can help avoid traffic jams, for example, and enable targeted responses …

7 Alternatives to Facebook Ads for Enterprise B2C Marketers in 2023

In recent years, Facebook ads have become not only less fruitful, but also more expensive. While the cost of Facebook ads varies depending on time of year, industry, location, audience, and other factors, Facebook ads will likely cost more in 2023 than the last two years. As a result, many brands (including the largest public …

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Bing is sadly too desperate to make AI work

TL;DR Bing is screwing up their AI integration. The integration of ChatGPT into Bing’s search engine has some major problems that drastically impact user experience. It appears as if Bing is so desperate to promote itself that they are willing to sacrifice the user’s satisfaction. Not only does this cause usability issues for users, but …

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Confianza en los Datos (Explicando Palantir, #4)

(An English-language version of this post can be read here.) Nota del editor: Este es el cuarto post de Explicando Palantir, una serie que explora una selección de temas, incluyendo nuestro enfoque hacia la privacidad, la protección, y la seguridad de la IA/ML, entre otros. Las entradas anteriores exploran nuestro modelo de negocio, los controles de …

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Tune ML models for additional objectives like fairness with SageMaker Automatic Model Tuning

Model tuning is the experimental process of finding the optimal parameters and configurations for a machine learning (ML) model that result in the best possible desired outcome with a validation dataset. Single objective optimization with a performance metric is the most common approach for tuning ML models. However, in addition to predictive performance, there may …

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Introducing Telecom Subscriber Insights: Helping CSPs grow business with AI-driven digitization and personalization

Communication Service providers (CSPs) are facing a new dynamic where they have a digitally savvy customer base and market competition is higher than ever before. Understanding customers and being able to present them with relevant products and services in a contextual manner has become the focus of CSPs. Digitization and hyper-personalization will be powering the …