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Generative AI vs LLM: what product teams actually need to know

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The groundwork checklist: what to check before, during and after an AI build

The groundwork checklist: what to check before, during and after an AI build

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Why 60 to 95% of AI projects fail (and the groundwork we’d do first)

Why 60 to 95% of AI projects fail (and the groundwork we’d do first)

AI & TechOur Team
Enterprise software illustration

Enterprise AI software: build, buy or compose?

AI & TechEntrepreneurship
An iphone with the Privacy warning

Hybrid cloud strategy for privacy-first AI

AI & Tech
Person testing software illustration

Test-driven development in the age of AI coding tools

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A developer coding in a black room

How to create an AI agent without building a black box

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Sinas 0.4.0

Sinas 0.4.0: pipelines, a single-container profile, and a smaller model bill

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man is looking at the computer-view from the back

AI testing: how artificial intelligence changes software quality assurance

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sinas 0.3.0

Sinas 0.3.0: OAuth connectors, user identity, and Kubernetes

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Illustration of a robot hand leading the mini commerce crate

Agentic commerce: what happens when software starts buying?

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Data governance for AI: a practical framework for trusted enterprise systems

Data governance for AI: a practical framework for trusted enterprise systems

AI & Tech

YouTube
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Wisdom from the Future of AI Valencia
Wisdom from the Future of AI Valencia
Wisdom from the Future of AI Valencia
Wisdom from the Future of AI Valencia
AI trends 2026
Squirrel on the tree
AI Avatar tools
AI fatigue
AI strategy
B2B content strategy
B2B growth
Choosing the right digital agency
European tech hubs
Generative AI history
How to build AI agents
Inclusive product design
Launching in Amsterdam
Low code platforms
Rule-based vs Machine learning
Social commerce trends
Software project costs
Rule-based vs Machine learning
Voice interface design

 

New:
The Groundwork
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Between 60 and 95 per cent of enterprise AI initiatives produce no measurable business value. Our new handbook covers what has to be true inside an organisation before AI produces anything worth having.

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Working Machines

An executive’s guide to AI and Intelligent Automation.

 

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