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@audacia

Audacia

@audacia·Leeds, United Kingdom·Joined August 2025

We're an award winning technology consultancy specialising in engineering, data, AI & cloud.

About

We're an award winning technology consultancy specialising in engineering, data, AI & cloud.

Available for

Nothing here yet.

Audacia's blogs

Audacia Insights audaciatechnicalblog.hashnode.dev19 posts

About

We're an award winning technology consultancy specialising in engineering, data, AI & cloud.

Available for

Nothing here yet.

Audacia's blogs

Audacia Insights audaciatechnicalblog.hashnode.dev19 posts

Articles Comments

Recently published

AAudaciainaudaciatechnicalblog.hashnode.dev·5d ago · 10 min read

From Proof of Concept to Production: What AI Projects Actually Require

The gap between a proof of concept and a production system is where a significant proportion of AI initiatives fail to progress. Understanding what that transition involves, and planning for it from t

AAudaciainaudaciatechnicalblog.hashnode.dev·Jul 23 · 10 min read

Cybersecurity: The Human Problem AI Can't Fix

This blog captures the key themes from the launch event of Technically Speaking, Audacia's new podcast - held as part of Leeds Digital Mini Festival. Technology and security leaders from financial ser

AAudaciainaudaciatechnicalblog.hashnode.dev·Jul 23 · 9 min read

Engineer Experience: Why & How to Measure It | Audacia Insights

Engineer Experience examines how people, processes and tools affect productivity amongst software engineering teams. Based on a Tech Talk delivered by Technical Director Richard Brown, this blog explo

AAudaciainaudaciatechnicalblog.hashnode.dev·Apr 28 · 9 min read

AI-Assisted Engineering: Building the Foundations for Adoption and Scale

Based on a Tech Talk delivered by Technical Director Richard Brown, this blog explores how to successfully implement AI-assisted engineering. Rolling out AI to engineering teams successfully depends o

AAudaciainaudaciatechnicalblog.hashnode.dev·Mar 30 · 12 min read

A look at Microsoft Fabric

Running data functions at large organisations might look like one set of tools for ingestion, another for storage, something else for transformation, a separate analytics layer, and a BI platform bolt