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Want to Learn More about AI? Read These 8 Blog Articles

Analyst Catalyst Blog

Want to learn more about artificial intelligence and how it will impact business analysis? Check out these top eight articles from our blog.

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Article: Developing Deep Learning Systems Using Institutional Incremental Learning

InfoQ Articles

Institutional incremental learning promises to achieve collaborative learning. This form of learning can address data sharing and security issues, without bringing in the complexities of federated learning. This article talks about practical approaches which help in building an object detection system.

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Article: Learning from Incidents

InfoQ Articles

Jessica DeVita (Netflix) and Nick Stenning (Microsoft) have been working on improving how software teams learn from incidents in production. In this article, they share some of what they’ve learned from the research community in this area, and offer some advice on the practical application of this work.

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Article: Streaming-First Infrastructure for Real-Time Machine Learning

InfoQ Articles

This article covers the benefits of streaming-first infrastructure for two scenarios of real-time ML: is online prediction, where a model can receive a request and make predictions as soon as the request arrives, and continual learning, when machine learning models are capable of continually adapting to change in data distributions in production.

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Article: Learning eBPF for Better Observability

InfoQ Articles

This article shares insights into learning eBPF as a new cloud-native technology which aims to improve Observability and Security workflows. Learn how to practice using the tools, and dive into your own development. Iterate on your knowledge step-by-step, and follow-up with more advanced use cases later. By Michael Friedrich

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Article: Cultivate Team Learning with Xtrem Reading

InfoQ Articles

Becoming a learning organization is key to success in the modern world. Peter Senge defined 5 disciplines of a learning organization. This article introduces workshop techniques that will help you start your journey in the 4th discipline, team learning. By Yoan Thirion.

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Article: Accelerating Deep Learning on the JVM with Apache Spark and NVIDIA GPUs

InfoQ Articles

In this article, authors discuss how to use the combination of Deep Java Learning (DJL), Apache Spark v3, and NVIDIA GPU computing to simplify deep learning pipelines while improving performance and reducing costs. By Haoxuan Wang, Qing Lan, Carol McDonald.

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