InfoQ Homepage Artificial Intelligence Content on InfoQ
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Cloud Security Challenges in the AI Era - How Running Containers and Inference Weaken Your System
Marina Moore, a security researcher and the co-chair of the security and compliance TAG of CNCF, shares her concerns about the security vulnerabilities of containers. She explains where the issues originate, providing solutions and discussing alternative routes to using micro-VMs rather than containers. Additionally, she highlights the risks associated with AI inference.
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If You Can’t Test It, Don’t Deploy It: The New Rule of AI Development?
Magdalena Picariello reframes how we think about AI, moving the conversation from algorithms and metrics to business impact and outcomes. She champions evaluation systems that don't just measure accuracy but also demonstrate real-world business value, and advocates for iterative development with continuous feedback to build optimal applications.
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Mental Models in Architecture and Societal Views of Technology: a Conversation with Nimisha Asthagiri
In this podcast, Michael Stiefel spoke with Nimisha Asthagiri about the importance of system thinking, multi-agent systems, the consequences of society applying a technology into an area for which it was not designed, and whether we can ever have a healthy relationship with artificial intelligence.
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Elena Samuylova on Large Language Model (LLM)-Based Application Evaluation and LLM as a Judge
In this podcast, InfoQ spoke with Elena Samuylova from Evidently AI, on best practices in evaluating Large Language Model (LLM)-based applications. She also discussed the tools for evaluating, testing and monitoring applications powered by AI technologies.
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AI, ML, and Data Engineering InfoQ Trends Report 2025
In this episode, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers and listeners with a high-level overview of the topics to pay attention to this year.
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Adam Sandman on Generative AI and the Future of Software Testing
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Adam Sandman about how generative AI is transforming software development and testing by automating mundane tasks, enabling faster prototyping, and collapsing traditional roles into broader generalist positions, while also highlighting challenges like increased defects and ethical concerns.
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Claire Vo on Building High-Performing, Customer-Centric Teams in the Age of AI
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Claire Vo, Chief Product and Technology Officer at LaunchDarkly, about building high-performing, customer-centric teams, fostering a culture of experimentation, and preparing for the future of AI-driven software development.
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Leveraging AI Platforms to Improve Developer Experience – From Personal Hackathon to AI at Scale
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Olalekan Elesin about how generative AI tools can elevate developer experience by enabling engineers to be more creative and productive. He stresses the need to manage expectations, develop prompt engineering skills, and maintain a focus on security and customer privacy when leveraging these tools in an enterprise setting.
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InfoQ Culture & Methods Trends in 2024
In this podcast the Culture and Methods editorial team along with special guest Jutta Eckstein talk about the current state and trends we see in the technology industry in 2024.
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Making Code Explain Itself – Observability Through AI
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Dr. Elizabeth Lawler, the founder and CEO of AppMap, about observability in the age of AI, creativity in programming and problems developers face on a day-to-day basis.