InfoQ's podcasts are interviews with the software architects, senior engineers, and team leaders who build and operate production systems. Episodes work through the tradeoffs behind real decisions in software architecture, AI and ML engineering, and engineering culture. Guests are practitioners and QCon speakers describing what worked and what broke in systems they built.
Interviews with the software architects and senior engineers who build and run production systems. Each episode works through the tradeoffs behind a real decision in architecture, AI engineering, and development.
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In this episode of the InfoQ Podcast, co-host Thomas Betts spoke with Neal and Mark about the role of a software architect and the skills necessary to be successful. One of the hardest parts is recognizing that there are no right or wrong answers, or easy decisions, and this can be especially challenging for those who come from a programming background.
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In the podcast, we speak with Dr. Francesca Lazzeri on machine learning for time series forecasting as the main topic which included automated machine learning and deep learning for time series data forecasting, as well as other emerging trends in machine learning development and operations areas including data science lifecycle.
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In this podcast Alexander Matyushentsev, principal software engineer at Intuit and core engineer on the Argo CD and Argo Rollouts projects, sat down with InfoQ podcast host Daniel Bryant and discussed the Argo projects, continuous delivery with Kubernetes, and how platform teams can help developers embrace modern release techniques and related technologies.
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In this episode of the InfoQ podcast, Charles Humble talks to Lucas Cavalcanti about Nubank’s early architectural choices, including starting with Clojure and microservices. They discuss the challenges of using public cloud for financial services in Brazil, Nubank’s use of Alistair Cockburn's Hexagonal Architecture and immutable architecture, and lessons learnt as the startup scaled.
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How AI, ML and Data Engineering are evolving in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.
Conversations on building intentional engineering culture: team dynamics, leadership, and software management. For engineering leaders, managers, and the developers they support.
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In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Carol McEwan and Greg Woods from iObeya about the use of Obeya spaces and the culture of transparency they encourage in organisations.
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In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Mike Schumacher about the impact of poor digital employee experience and using data to remove friction in the employee experience
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In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Nick Iovacchini of Kettle about making hybrid working work in the post-pandemic world and the ability to put people space and time together in ways that create successful experiences for employees and organisations.
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In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Amaranatho Robey about playfulness, mindfulness and his journey from AI developer to monk to executive coach.
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In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Jeff Perry about the important leadership and people skills that technologists are often not trained in, why career coaching can be valuable, being deliberate about career choices and advice for technical leaders.
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