- Fitness functions to define “what good looks like” for data mesh and guide the evolution of analytic data architecture and operating model
- Team topologies as a system for organisational design that is sympathetic to data mesh
- Driving a delivery program through use cases
- Thin slicing and evolution of products
I recently talked with Leon Gettler on an episode of the Talking Business podcast about Creative AI – paring people with AI to augment product and strategy development.
This connects with some themes I’ve blogged about here before, such as No Smooth Path to Good Design and Leave Product Development to the Dummies. Also, Sketching Semantle Solvers explores how machines might generate and test new ideas in a game scenario in a way that’s sympathetic to human players.
I collaborated with with some colleagues to share our experiences with data mesh and how to frame the benefits for an executive audience, written up in an article titled The Business Case for Data Mesh.
It was great to be able to reflect with colleagues on common themes running through Thoughtworks’ work in languages and technology. In various scenarios, with different technology approaches, we worked to improve the inclusiveness of solutions, pointing to a more linguistically inclusive future.
I was able to contribute to this article from FST Media: Exposing the fault lines in governments’ handling of Covid app data. I talked about the need for citizens to have trust in the collection and use of data, lest lack of trust undermine the utility of the data.
If the risks aren’t properly managed, the end result is harm to citizens through the direct release of data or degraded performance of contact tracing and the impact on public health.
It was a pleasure to collaborate with some of my colleagues on this article in The Australian newspaper, which I was able to put my name to. The article is titled Why the COVIDSafe App Failed, and may need a subscription to access.
The COVIDSafe experience has been an education and if one thing is clear, it is that if we are going to pin all our hopes on a piece of public health technology, it must be built on sound health evidence and a solid platform of trust for it to have any real value in protecting the communities it serves.
It was fun to join the ThoughtWorks Tech Podcast again, with Zhamak Dehghani, Alexey Boas, and Ned Letcher, this time to talk about Getting to grips with data visualization.
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.ThoughtWorks Technology Podcasts
I provided some commentary on data mesh for ITWire in this article titled Data mesh decentralises custodianship while maintaining governance.
I’m pleased to see the German translation of the article I wrote with Sue Visic now live on Digitale Welt magazine: Mit Datenanalyse schnell auf Nachfragewandel reagieren.
This is translated from the original article Data-driven responses to new patterns of customer behaviour, published on ThoughtWorks Insights, 16 April 2020.
I had fun recording this podcast on Applying Software Engineering Practices to Data Science with Zhamak Dehghani, Mike Mason and Danilo Sato.
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 explores 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?ThoughtWorks Technology Podcasts