AI should be the last layer you add
Many organisations start their digital roadmap with the same question: “What can we do with AI?” We believe this is the wrong starting point. Not because AI isn’t valuable but because AI is a multiplier, not a fix.
Why most AI demos don’t scale
Every AI demo works perfectly. It has a smooth interface, fast responses, seamless and predictable outcomes. But what happens after the demo?
The developer who hits 'Merge' is still responsible, even in the AI era
At Endare, we fully embrace AI-assisted coding but we also believe that accountability, context and human judgment are more important than ever.
What if the AI agent makes a mistake? Designing for safe failure
No matter how well an AI agent is trained or configured, it will occasionally get things wrong. The solution isn’t to stop automation altogether. The solution is to design for safe failure.
Designing trustworthy and ethical AI products
In the age of AI integration, we have to navigate the ethical considerations associated with creating responsible and user-centric products.
How smart is AI really?
We give you insight in how smart current AI solutions really are. The end game is Artificial Super Intelligence but how far off are we?
User Experience at the core of the AI revolution
The AI revolution of today is not just about advancements in AI capabilities but marks a radical shift in user experience and interactions.
Are you sharing company data with ChatGPT?
Protect your company data when using ChatGPT or other AI tools. Learn about the security risks associated with sharing sensitive information.
How AI will disrupt software development
Discover how AI is disrupting software development and how you can benefit from it. It's time to learn about the future of software development.
Are web apps and AI threatening the future of mobile apps?
Are mobile apps still the future? Or should they be worried by the rise of web apps and AI? Find out here!
The ripple effect of COVID-19 on machine learning
The effect of COVID-19 on machine learning is unclear in the long run. Data-driven businesses have to deal with this uncertainty and adapt.
Open source in AI development
Open source is now a great accelerator and enabler of development of Artificial Intelligence, giving developers the freedom to innovate with AI.
The future of AI in mobile
Back in the day, apps were simple. The mobile landscape is moving from an occasional AI-enabler towards being the dominant platform for AI.