Thoughtworks Technology Podcast

A vast array of powerful data visualization tools are gaining traction in enterprises looking to make sense of their data sets, for instance D3, Bokeh, Shiny and Dash. In this episode, our team explores to concept of data visualization as part of a complete digital experience, with the workflows and journeys of a wide variety of users.

Computational notebooks — such as Jupyter and Databricks — have soared in popularity with data scientists thanks to the ease with which text, visualizations and code can be combined on a living document. But what works for the data scientist doesn’t always fit with developers’ needs. Productionizing notebooks is fraught with perils. Our podcast team explores how to use computational notebooks most effectively.

Our podcast team catches up with Gregor Hohpe to hear about his book The Software Architect Elevator which looks at how to connect the boardroom to the IT engine room and how architects can drive digital transformations.

The Clojure programming language has seen some radical changes in recent times — not least of which is a change in stewardship of Cognitect, the company that provides technical support for Clojure. Here, we catch up with Stuart Halloway to find out what Cognitect’s acquisition by financial services firm Nubank means for the future of Clojure.

Establishing who someone is and how much they can be trusted is hard — even more so on the Internet. Here, our podcast team explores some new concepts in digital trust, such as decentralized identity, privacy protection and identity ownership.

In the first part of this two-part episode, we looked at the challenges encountered when an agile software development mindset runs up against ERP-heavy integration environments. Here we look at some of the solutions that can ease the path toward legacy modernization.

There’s growing interest in empowering non-developers to perform tasks that previously only programmers could do. This can help the enterprise deliver useful things quicker and free up developers to focus on more critical stuff. But challenges emerge when moving the citizen-developer-built applications to production scale. Our podcast team explores the possibilities and problems of democratizing programming.

Enterprise resource planning systems remain business-critical for many organizations. But these decades-old and often highly customized systems weren’t designed to operate in a modern, distributed manner. This throws up huge integration challenges when organizations want to explore how to embrace new digital opportunities. We look at how to overcome some of these challenges.

Open source has become an important model for building interest and trust in a software project. But there’s no one-size-fits-all approach to open source. In this episode our podcasters explore different ways to approach open source and examine whether end-of-life has to mean obsolescence.

The need for high quality information at speed has never been greater thanks to competition and the impact of the global pandemic. Here, our podcast team are joined by David Colls and Danilo Sato to explore how data science is helping the enterprise respond: What new tools and techniques show promise? When does bias become a problem in data sets? What can DevOps teach data scientists about how to work?