InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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.
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Challenges of Human Pose Estimation in AI-Powered Fitness Apps
In this article, the author discusses the human pose estimation solution powered by AI technologies and the challenges faced in online fitness apps which use the pose estimation to predict the position of the human body based on an image or a video containing a person.
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How to Build, Deploy, and Operationalize AI Assistants
While chatbot PoCs are simple, building production-grade conversational software is challenging. Enterprises experience challenges in production systems that have large user bases, security mandates, and polyglot environments. This article provides insight into building an AI assistant, and outlines various tools and techniques to continuously monitor and improve AI assistants in production.
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COVID-19 and Mining Social Media - Enabling Machine Learning Workloads with Big Data
In this article, author Adi Pollock discusses how to enable machine learning workloads with big data to query and analyze COVID-19 tweets to understand social sentiment towards COVID-19.