Systems | Development | Analytics | API | Testing

The Modern Data Stack Ecosystem: Spring 2022 Edition

Welcome to the Spring 2022 Edition of the Modern Data Stack Ecosystem. In this article, we’ll provide an in-depth look at the Modern Data Stack (MDS) ecosystem, updated from our Fall 2021 edition. We also highly recommended our article, The Future of the Modern Data Stack, to anyone who is new to the MDS and wants to learn about its history.

The World Beyond Test Automation: AI-Powered Intelligent Testing for Modern Applications

Web and mobile apps are now your primary connection with your customers. Staying relevant and winning market share requires that firms can make constant changes to these apps. But how can you deploy many more small changes - often many per day - with confidence and with managed risk? In the company of two software industry leaders, we take a closer look at how a modern testing toolchain combines production safety nets - from canaries, to feature flags, to error reporting - with AI-powered quality insights to engineer quality at speed for both developers and quality engineers.

Space-Based AI Shows the Promise of Big Data

At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. The observatory launched Dec. 25 2021 on a mission to look at the early universe, at exoplanets, and at other objects of celestial interest. But first it must pass a rigorous, months-long commissioning period to make sure that the data will get back to Earth properly. Mission managers provided an update Feb.

Data-Centric AI with Continual and Snowflake

Data infrastructure is rapidly growing and evolving along with infrastructure for AI/ML, with the latter growing largely independent from the former. An emerging generation of AI/ML tooling emphasizes data-centric versus model-centric approaches to the ML development lifecycle. These tools recognize that data is the foundation for AI and seek to open opportunities for all data professionals to participate by eliminating the unnecessary complexity of traditional model-centric solutions.

Interview with Katie King, CEO of AI in Business

For the newest instalment in our series of interviews asking leading technology specialists about their achievements in their field, we’ve welcomed Katie King, CEO of AI in Business, a firm that specializes in AI consultancy and training. With over 30 years of experience, Katie has advised many of the world's leading brands and business leaders, including Virgin, o2, Orange and Accenture.