InfoQ Homepage Architecture Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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Your Software Will Fail; It is How You Recover That Matters: a Conversation with Randy Shoup
In this podcast Michael Stiefel spoke with Randy Shoup about how to build resilient systems. We discuss why it is a serious mistake to fail to acknowledge that software’s interaction with itself. We also discuss where to use workflows, orchestration or choreography, the role of architecture in building good teams, and the wisdom of letting each team use their own set of tools.
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Dissecting the Intelligence of AI with Avraham Poupko
In this episode, Thomas Betts speaks with Avraham Poupko. Avraham believes software architects will not be replaced by Generative AI or LLMs. They will be replaced by software architects that know how to leverage Generative AI and LLMs. Their discussion compares LLM training with how humans learn, leading to better understanding of how architects can use GenAI effectively.
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Key Trends from 2024: Cell-Based Architecture, DORA & SPACE, LLM & SLM, Cloud Databases and Portals
In this year-in-review episode, Daniel Bryant, along with InfoQ podcast hosts Thomas Betts, Shane Hastie, Srini Penchikala, and Renato Losio, reflect on the trends and developments of 2024 across key domains: architecture, culture and methods, AI and data engineering, and cloud and DevOps.
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Crossing the Feedback Chasm - a Conversation with Ken Finnigan
Michael Stiefel spoke with Ken Finnigan about how the lack of feedback impedes the development of software professionals. Without feedback, the right candidates are not hired, software professionals cannot improve or grow into new roles, or individuals stagnate or regress in their current positions. Feedback must also be delivered at the right time - when it can be effectively used.
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Generally AI - Season 2 - Episode 6: the Godfathers of Programming and AI
Hosts discuss the Godfather of AI, Geoffrey Hinton, who developed pivotal algorithms like backpropagation, contributed to neural visualization with t-SNE, and inspired a resurgence in neural networks with AlexNet's success. They turn to John von Neumann, whose impact spanned mathematics, the Manhattan Project, and game theory, but most importantly: the von Neumann computer hardware architecture.
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