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Architecture & Design

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.

Thomas Betts Blanca Garcia Gil Daniel Bryant Eran Stiller Vasco Veloso Tanmay Deshpande
on Apr 07, 2023
Culture & Methods

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.

Shane Hastie Rebecca Parsons Rafiq Gemmail Ben Linders Shaaron A Alvares Craig Smith
on Mar 31, 2023
Culture & Methods

Moving towards a Future of Testing in the Metaverse

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges. To wrap up, he shares some of his thoughts on the role of software testers as we move towards a future of testing in the metaverse.

Tariq King
on Feb 24, 2023
Culture & Methods

How I Contributed as a Tester to a Machine Learning System: Opportunities, Challenges and Learnings

Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers themselves. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make. This is a journey of assuring quality of ML-based systems as a tester.

Shivani Gaba
on Feb 16, 2023
Culture & Methods

Software Testing, Artificial Intelligence and Machine Learning Trends in 2023

Technology has taken significant leaps within the last few years, introducing advancements that have taken us further into the digital age, impacting the software testing industry, and we're seeing advances in machine learning, artificial intelligence, and the neural networks making them possible. These new technologies will change how software is developed and tested like never before.

Adam Sandman
on Jan 23, 2023
Development

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.

Daniel Bryant Wesley Reisz Thomas Betts Shane Hastie Srini Penchikala
on Jan 13, 2023
AI, ML & Data Engineering

Apache DolphinScheduler in MLOps: Create Machine Learning Workflows Quickly

In this article, author discusses data pipeline and workflow scheduler Apache DolphinScheduler and how ML tasks are performed by Apache DolphinScheduler using Jupyter and MLflow components.

Zhou Jieguang
on Oct 14, 2022
AI, ML & Data Engineering

AutoML: the Promise vs. Reality According to Practitioners

Automation to improve machine learning projects comes from a noble goal, but true end-to-end automation is not available yet. As a collection of tools, AutoML capabilities have proven value but need to be vetted more thoroughly. Findings from a qualitative study of AutoML users suggest the future of automation for ML and AI rests in the ability for us to realize the potential of AutoMLOps.

Doris Xin
on Aug 29, 2022
AI, ML & Data Engineering

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.

Srini Penchikala Dr Einat Orr Rags Srinivas Roland Meertens Anthony Alford Daniel Dominguez
on Aug 02, 2022
AI, ML & Data Engineering

What You Should Know before Deploying ML in Production

What should you know before deploying machine learning projects to production? There are four aspects of Machine Learning Operations, or MLOps, that everyone should be aware of first. These can help data scientists and engineers overcome limitations in the machine learning lifecycle and actually see them as opportunities.

Francesca Lazzeri
on Jun 09, 2022
AI, ML & Data Engineering

AI for Software Developers: a Future or a New Reality?

In this article, author Nikita Povarov discusses the role AI/ML plays in software development and how tasks like code completion, code search, and bug detection can be powered by machine learning. But he also explains why a complete replacement of programmers by algorithms isn't going happen any time soon.

Nikita Povarov
on May 20, 2022
Development

The Major Software Industry Trends from 2021 and What to Watch in 2022

In this podcast summary Thomas Betts, Wes Reisz, Shane Hastie, Charles Humble, Srini Penchikala, and Daniel Bryant discuss what they have seen in 2021 and speculate a little on what they hope to see in 2022. Topics explored included: hybrid working and the importance of ethics and sustainability within technology.

Daniel Bryant Wesley Reisz Thomas Betts Charles Humble Shane Hastie Srini Penchikala
on Jan 19, 2022