The digitization of the consumer experience is disrupting healthcare as it has in nearly every industry. Not long ago, healthcare data was manually captured on paper charts. This was a small data set that reflected a snapshot in time —…

On the negative side of the recent hype (hysteria?) around generative AI has been a focus on the underlying legal implications of this technology. Here, I’ll dive into one specific issue that has been the subject of intense debate. Namely,…

Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include articles on what's holding back AI from being fully autonomous, the different types of…

Part 1: The Risks and Ethical Issues Associated with Large Language Models If you haven’t heard about ChatGPT, you must be hiding under a very large rock. The viral chatbot, used for natural language processing tasks like text generation, is…

In this guest blog, Osian Llwyd Jones, Head of Product, Data Platform at Stuart, a leading European urban logistics company, shares the experience of his first three months on the job. The original text was written in 2021 when Osian…

Like many of you reading this, I’ve been pondering the implications of the leaps forward AI has taken in recent months. Between DALL-E, ChatGPT, and others, we’ve seen some sudden jumps in what is possible with AI. At the same…

Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include articles on the disillusionment of "self-service", a return to data modeling, a massive roadblock…

If hiring more data scientists and promoting self-serve reporting isn’t working, there’s an organizational structure that might. As a data scientist, when you work in a line of business where certain factors are out of your control, it’s easy to…

Data about data quality. It doesn’t get more meta than this. Measuring data is likely a better title than measuring data quality and I suggest combining quality with productivity and engagement metrics. At its core, measuring data can be boiled…