InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Virtual Panel: the MicroProfile Influence on Microservices Frameworks
In mid-2016, the MicroProfile initiative was created as a collaboration of vendors to deliver microservices for enterprise Java. InfoQ recently asked the opinion of expert practitioners on how MicroProfile has influenced how developers today are building microservices-based applications, the emergence of new microservices frameworks and reverting back to monolith-based applications development.
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AI No Silver Bullet for Cloud Security, But Here’s How It Can Help
In this article, the author looks at the real role of artificial intelligence in cloud security – the hype, the reality, and how we can resolve the gap between them. He encourages the reader to focus on making cloud security platforms that allow humans to provide truly intelligent threat responses, rather than relying on the machines to do it for us.
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AI Applied in Enterprises: Information Architecture, Decision Optimization, and Operationalization
The book Deploying AI in the Enterprise by Eberhard Hechler, Martin Oberhofer, and Thomas Schaeck gives insight into the current state of AI related to themes like change management, DevOps, risk management, blockchain, and information governance. It discusses the possibilities, limitations, and challenges of AI and provides cases that show how AI is being applied.
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The Brain is Neither a Neural Network Nor a Computer: Book Review of The Biological Mind
Underlying much of artificial intelligence research is the idea that the essence of an individual resides in the brain. This is contrary to neuroscience which has discovered that a brain cannot work independently from the body and its environment. Understanding this enables us see what is reasonable to expect from artificial intelligence, as well as technology designed to improve human life.
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Building an SQL Database Audit System Using Kafka, MongoDB and Maxwell's Daemon
In this article, the author discusses the importance of a database audit logging system outside of traditional built-in data replication, using technologies like Kafka, MongoDB, and Maxwell's Daemon.
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InfoQ 2020 Recap, Editor Recommendations, and Best Content of the Year
As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.
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Overcoming Data Scarcity and Privacy Challenges with Synthetic Data
In this article, the author discusses the importance of using synthetic data in data analytics projects, especially in financial institutions, to solve the problems of data scarcity and more importantly data privacy.
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Understanding Similarity Scoring in Elasticsearch
In this article, the author discusses the importance of Relevancy Score for developing Search Engine solutions and how to calculate the relevancy score using Elasticsearch's similarity module.
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How Apache Pulsar is Helping Iterable Scale its Customer Engagement Platform
In this article, author Greg Methvin discusses his experience implementing a distributed messaging platform based on Apache Pulsar.
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Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?
Databases have been around forever with the same shape: you make a request to your data and then you receive an answer. Now, stream processors came along with a different approach: data isn’t locked up, it is in motion. Understand how stream processors and databases relate and why there is an emerging new category of databases that focus on data that stays in place as well as data that moves.
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Q&A on the Book Accelerating Software Quality
The book Accelerating Software Quality by Eran Kinsbruner explores how we can combine techniques from artificial intelligence and machine learning with a DevOps approach to increase testing effectiveness and deliver higher quality. It provides examples and recommendations for using AI/ML-based solutions in software development and operations.
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Is Artificial Intelligence Closer to Common Sense?
Intelligent agents lack the common-sense knowledge they need to reason about the world. Traditionally, there have been two unsuccessful approaches to getting computers to reason about the world—symbolic logic and deep learning. A new project, called COMET, tries to bring these two approaches together. Although it has not yet succeeded, it offers the possibility of progress.