InfoQ Homepage InfoQ Trends Report Content on InfoQ
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InfoQ AI, ML and Data Engineering Trends Report - September 2024
InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering as part of the process of creating our annual trends report.
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InfoQ Culture & Methods Trends Report - April 2024
The Culture and Methods trends report discusses evolving roles within teams, the way the staff plus roles are able to add value, the use and misuse of DevEx metrics, how remote work continues to evolve, a lack of diversity is still a challenge, and the need to move from climate change awareness to climate conscious software engineering.
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InfoQ Software Architecture and Design Trends Report - April 2024
The InfoQ Trends Reports offer InfoQ readers a comprehensive overview of key topics worthy of attention. The reports also guide the InfoQ editorial team towards cutting-edge technologies in our reporting. In conjunction with the report and trends graph, our accompanying podcast features insightful discussions among the editors digging deeper into some of the trends.
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InfoQ Java Trends Report - November 2023
This report provides a summary of how the InfoQ Java editorial team and several Java Champions currently see the adoption of technology and emerging trends within the Java and JVM space in 2023. We focus on Java the language, as well as related languages like Kotlin and Scala, the Java Virtual Machine (JVM), and Java-based frameworks and utilities.
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InfoQ AI, ML, and Data Engineering Trends Report - September 2023
In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.
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InfoQ DevOps and Cloud Trends Report – July 2023
InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of cloud and DevOps as part of the process of creating our annual trends report. These reports provide InfoQ readers with a high-level overview of the topics to pay attention to and help the editorial team focus on innovative technologies.
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InfoQ Software Architecture and Design Trends Report - April 2023
This article provides an overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2023, with a focus on what architects are designing for today.
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InfoQ Culture & Methods Trends Report - March 2023
The two biggest factors influencing organisational culture in early 2023 are the highly publicised and hugely disruptive layoffs across the tech industry and the emergence of Large Language Models such as ChatGPT.
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InfoQ Software Trends Report: Major Trends in 2022 and What to Watch for in 2023
2022 was another year of significant technological innovations and trends in the software industry and communities. The InfoQ podcast co-hosts met last month to discuss the major trends from 2022, and what to watch for in 2023. This article is a summary of the 2022 software trends podcast.
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Java InfoQ Trends Report - December 2022
This report provides a summary of how the InfoQ Java editorial team and several Java Champions currently see the adoption of technology and emerging trends within the Java and JVM space in 2022. We focus on Java the language, as well as related languages like Kotlin and Scala, the Java Virtual Machine (JVM), and Java-based frameworks and utilities.
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InfoQ .NET Trends Report 2022
Every year, all InfoQ editors invite seasoned developers and practitioners from the industry to discuss the current trends in the entire software development landscape. In this article, we discuss some of the .NET Trends for 2022, divided into four stages of adoption.
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AI, ML, and Data Engineering InfoQ Trends Report—August 2022
In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.