TinyML: Bringing machine learning to the edge

The way we think about and build with data is changing. Data lakehouses have become an industry standard, and conversation is turning to semantic and governance layers as organizations seek to optimize and leverage data for the AI era. However, the concept of 'data products' — tr ...  Show more

The agentic era of software engineering began almost a year ago. And while much has changed in 2026, there's still a lot that hasn't been settled. One of the most important issues is how teams should collaborate. The idea of working with a spec may have considerable allure, but m ...  Show more

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Machine learning is a class of technologies that promise to revolutionize business. Unfortunately, it can be difficult to identify and execute on ways that it can be used in large companies. Kevin Dewalt founded Prolego ...

Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer ...  Show more

Groundbreaking technologies like neural-net algorithms, along with the ability to run much more powerful computation, started a new era in Machine Learning. We're now able to use Machine Learning for products in ways we could only dream about and companies from all around th ...  Show more

Thanks to machine learning and artificial intelligence, programs that used to take a week can now quickly search 50,000 IP addresses for vulnerabilities in organisations like yours to get into. Reformed Hacker and Brand Ambassador for CTRL Group Bastien Treptel speaks with Associ ...  Show more