Notes from building real systems.
Practical writing on software, data and AI engineering: what worked, what did not and why. These are the topics we plan to cover first.
Planned topics
- AI integrationPlanned
Taking an AI prototype into daily use
Evaluation, review loops and the unglamorous work between a demo and a dependable tool.
- FinancePlanned
Building fraud detection teams can trust
Real-time scoring, explainable decisions and keeping analysts in the loop.
- HealthcarePlanned
Designing AI that leaves the clinician in charge
Where assistance helps in clinical work and where it must step back.
- AgriculturePlanned
From satellite images to field decisions
Combining imagery, sensors and weather into recommendations farmers use.
- Supply chainPlanned
Forecasting demand when the data is messy
Getting useful forecasts out of fragmented ERP and warehouse data.
- InfrastructurePlanned
Making releases boring
CI/CD, observability and the habits that turn deploy day into any day.
Want us to write about something specific? Send a topic to info@doxantro.com.

