Scott Hickey works through a solution to the Bank OCR kata, using Groovy and functional programming techniques. The code uses recursion plus Groovy methods that support functional programming.
Nick MacDonald discusses a project’s transformation using hypermedia APIs, which has provided them with a simplified backbone to evolve internally and across boundaries.
Brian Wilt discusses how applied machine learning techniques and data science helped Jawbone build a successful fitness tracking app.
William Markito Oliveira and Fred Melo discuss the architecture and implementation details of a stock prediction solution built entirely on top of open source code and some R and a web interface.
Lucian Vlad Lita focuses on the next step in personalization: well-designed software architectures for storing, computing, and delivering responsive, accurate in-product predictions and experiments.
Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.
Simon Ferguson describes how MBIE is using APIs, initiatives that are underway to increase use of APIs, and the considerations that are involved with providing governmental services as APIs.
Matt Ranney covers the evolution of Uber's architecture and some of the systems they built to handle the current scaling challenges.
Marc Danneels tells a story on how ASB started using APIs and the lessons learned along the way, covering ASB’s plans to continue extending the API environment externally.
Anders Ivarsson discusses how teams are autonomous at Spotify, how they are organized in squads, chapters, tribes and guilds, and how management and leadership works in their company.
Dustin Hudson discusses enterprise architecture using case studies and life examples to illustrate how to put together legacy systems and third-party apps while considering user-driven decisions.