In an increasingly “smart” world, data is being created everywhere. Engineers and manufacturers generate massive amounts of data for every part, process and product made. However, the future of ...

Meta’s investment in Scale makes one thing clear: in the era of foundation models, owning a high-fidelity data supply is the new strategic moat. But you don’t need to be Meta, or spend billions, to ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Meta CEO Mark Zuckerberg has a hot take on Big Tech's race for AI training data: It's not about the ...

The combination of user data and AI often creates data feedback loops. This means that as a firm gathers more customer data, it can feed that data into machine learning algorithms to improve its ...

Securing AI pipelines against data poisoning: a practical guide for technical teams Data poisoning is one of the more practical risks in AI security because it targets the pipeline rather than the ...

The implementation of AI is becoming table stakes, with use cases and successes in healthcare becoming a reality. However, as the industry shifts the AI narrative from hype to cautious adoption, it ...

Feedback is routinely requested and occasionally considered. Using feedback and doing something with it is nowhere near as routine, unfortunately. Perhaps this has been due to a lack of a practical ...