InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-free Replicated Data Types
In this podcast, InfoQ spoke with Somtochi Onyekwere on recent developments in distributed data systems, how to achieve fast, eventually consistent replication across distributed nodes, and how Conflict-free Replicated Data Type (CRDTs) can help with conflict resolution when managing data.
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2025 Key Trends: AI Workflows, Architectural Complexity, Sociotechnical Systems & Platform Products
In this end-of-year panel, the InfoQ podcast hosts reflect on AI’s impact on software delivery, the growing importance of sociotechnical systems, evolving cloud realities, and what 2026 may bring.
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Platform Engineering for AI: Scaling Agents and MCP at LinkedIn
QCon AI New York Chair Wes Reisz talks with LinkedIn’s Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of foreground and background agents, improving developer experience, and reducing toil.
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GenAI Security: Defending Against Deepfakes and Automated Social Engineering
In this episode, QCon AI New York 2025 Chair Wes Reisz speaks with Reken CEO and Google Trust & Safety founder Shuman Ghosemajumder about the erosion of digital trust. They explore how deepfakes and automated social engineering are scaling cybercrime and argues defenders must move beyond default trust, utilizing behavioral telemetry and game theory to counter attacks that simulate human behavior.
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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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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Building a Product-First Engineering Culture in the Age of AI
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Zach Lloyd about building a product-first engineering culture, and the critical importance of developers learning to effectively use AI tools while maintaining responsibility for code quality and understanding fundamental programming principles.
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Achieving Sustainable Mental Peace in Software Engineering with Help from Generative AI
Shane Hastie spoke to John Gesimondo about how to leverage generative AI tools to support sustainable mental peace and productivity in the complex, interruption-prone world of software engineering by developing a practical framework that addresses emotional recovery, overcoming being stuck, structured planning and communication, maximizing flow, and fostering divergent thinking.
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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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Building Responsible AI Culture: Governance, Diversity, and the Future of Development
Shane Hastie, Lead Editor for Culture & Methods spoke to Inna Tokarev Sela, CEO of illumex, about implementing generative AI in development teams, emphasizing the critical need for robust governance across data, policy enforcement, and explainability layers. She also discusses how intentional workplace policies and female-oriented mentorship programs have helped achieve gender balance in tech.
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