Insights
Practical writing on data science and AI
How businesses use data science, machine learning and AI in practice: what works, what it costs and how to start.
How to predict customer churn with the data you already have
A practical guide to churn prediction for subscription and repeat-purchase businesses: what data you need, how the model works and how to act on it.
Generative AIRAG vs fine-tuning: which does your business actually need?
Retrieval-augmented generation and fine-tuning solve different problems. A plain-language guide to choosing the right approach for business AI assistants.
Business intelligencePower BI or a custom dashboard: when each makes sense
How to choose between Power BI, other BI tools and a custom-built dashboard, based on users, data, budget and how the numbers will be used.
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