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Act One: From Chatbots to AI Agents

In the "Act One: From Chatbots to AI Agents" eMag we’ve curated a collection of articles that explore the exciting transition from the familiar realm of chatbots to the more dynamic and autonomous world of AI agents. The eMag offers both practical insights and forward-looking perspectives on the challenges and opportunities that lie ahead.

InfoQ
on Mar 27, 2025
AI, ML & Data Engineering

The InfoQ Trends Reports 2024 eMag

This special edition of The InfoQ eMag, contains a comprehensive collection of our popular InfoQ Trends Reports from 2024, a year with both evolution and revolution within the landscapes of technology, software development trends. This collection does not just reflect the past year's technological trends. We aspire to use it as a guide for future exploration and innovation.

InfoQ
on Jan 16, 2025
AI, ML & Data Engineering

Practical Applications of Generative AI

Generative AI (GenAI) has become a major component of the artificial intelligence (AI) and machine learning (ML) industry. In the InfoQ "Practical Applications of Generative AI" eMag, we present real-world solutions and hands-on practices from leading GenAI practitioners.

InfoQ
on Jun 17, 2024
Development

The InfoQ eMag: QCon 2018 Retrospective

We take a look back at best QCon highlights in 2018, including QCon London, QCon.AI, QCon New York and QCon San Francisco.

InfoQ
on Dec 28, 2018
AI, ML & Data Engineering

The InfoQ eMag: Real-World Machine Learning: Case Studies, Techniques and Risks

Machine learning (ML) and deep-learning technologies like Apache Spark, Flink, Microsoft CNTK, TensorFlow, and Caffe brought data analytics to the developer community. This eMag focuses on the current landscape of ML technologies and presents several associated real-world case studies.

InfoQ
on Jul 31, 2018
AI, ML & Data Engineering

The InfoQ eMag: Introduction to Machine Learning

InfoQ has curated a series of articles for this introduction to machine learning eMagazine, covering everything from the very basics of machine learning (what are typical classifiers and how do you measure their performance?) and production considerations (how do you deal with changing patterns in data after you’ve deployed your model?), to newer techniques in deep learning.

InfoQ
on Apr 19, 2017
Architecture & Design

The Morning Paper Issue 3 - Computer Science Applied

Adrian Colyer reviews five computer science papers which cover DBSherlock, how Google organises datasets, relaxing the majority quorum requirement in the Paxos Consensus algorithm, the key paper Netflix first looked to for principles on which to build its cloud architecture, and decomposing systems in modules.

Adrian Colyer
on Jan 02, 2017
Architecture & Design

The Morning Paper Quarterly Review Issue 2

A summary of five CS papers chosen from the 55 that Adrian Colyer has reviewed for his Morning Paper blog during Q2 2016. Amongst the five papers in the magazine Colyer takes a look at how Facebook collect and analyse over 1 trillion data points per day across 2 billion unique time series, and the technology behind bots on Q&A systems like Siri, Cortana, Alexa et al.

Adrian Colyer
on Jul 29, 2016