-
Synthesising Semantle Solvers
Picking up threads from previous posts on solving Semantle word puzzles with machine learning, we’re ready to explore how different solvers might play along with people while playing the game online. Maybe you’d like to play speed Semantle against an artificially intelligent opponent, maybe you’d like a left-of-field hint on a tricky puzzle, or maybe…
-
Second Semantle Solver
In the post Sketching Semantle Solvers, I introduced two methods for solving Semantle word puzzles, but I only wrote up one. The second solver here is based the idea that the target word should appear in the intersection between the cohorts of possible targets generated by each guess. To recap, the first post: Solution source…
-
Data Mesh Radio
I joined Scott Hirleman for an episode (#95) of the Data Mesh Radio podcast. Scott does great work connecting and educating the data mesh community, and we had fun talking about: Fitness functions to define “what good looks like” for data mesh and guide the evolution of analytic data architecture and operating model Team topologies…
-
Creative AI
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…
-
Sketching Semantle Solvers
Semantle is an online puzzle game in which you make a series of guesses to discover a secret word. Each guess is scored by how “near” it is to the secret target, providing guidance for subsequent guesses, but that’s all the help you get. Fewer guesses is a better result, but hard to achieve, as…
-
Visualising System Dynamics Models
Simulation is a powerful tool for understanding and solving complex problems, but sometimes simulations themselves can be hard to understand. Visualisation is a powerful tool for understanding what simulations are telling us, and also for socialising the limitations and assumptions built into predictions. An approach System dynamics is a simulation paradigm that can be used…
-
Data mesh: a lean perspective
Data mesh can be understood as a response to lean wastes identified in data organisations. I paired with Ned Letcher to present this perspective at the LAST Conference 2021, which was much delayed due to COVID restrictions. Lean wastes including overproduction, inventory, etc, may be concealed and made more difficult to address by centralised data…
-
The Business Case for Data Mesh
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.
-
Bridging the linguistic inclusion gap with AI
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. https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/how-ai-could-bridge-the-linguistic-inclusion-gap
-
Data mesh at Data Engineering Melbourne Meetup
Here’s the recording of my presentation on data mesh at the Data Engineering Melbourne Meetup, on 26 August 2021. We covered architecture, building blocks and more. Lots of great questions and discussion. Thanks as always to organisers Harmeet Sokhi, Timothy Findlay, and Andrew Jones!