Podcasts

Francesca Lazzeri on Machine Learning for Time Series Forecasting

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.

Alex Matyushentsev on Argo CD, Argo Rollouts, and Continuous Delivery with Kubernetes

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.

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal Architecture and Public Cloud at Nubank

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.

AI, ML and Data Engineering InfoQ Trends Report - August 2021

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.