#83 Empowering the Modern Data Analyst

Across the AI industry, high-stakes tools are being deployed in places where errors can harm people: sepsis alerts in hospitals, identity checks, welfare fraud detection, immigration enforcement, and recommendation systems that shape life outcomes. The pattern is familiar: scale ...  Show more

Data governance has been around long enough to develop playbooks, but AI governance is evolving in real time. Industry trends like LLMs, agents, and emerging “swarms” are changing what oversight even means, from data lineage to agent-to-agent provenance.For working teams, the que ...  Show more

In this episode of the Data Career Podcast, Avery talks with his childhood friend, Paul Alstrom, about his journey into data analytics from a non-technical background.

Paul emphasises the importance of networking, understanding the business, and getting the requirements ...

As we wrap up Season 2 of the Data Chief Podcast, It’s time to once again thank all of our listeners for tuning in and sending Cindi your ideas, and to all of our awesome guests who willingly shared their time and insights along the way.  

This season The Data Chief shar ...

<span style="font-weight: 400;">Every business likes to claim that it is "data-driven" or at least "data-informed," but too often, that's not the way things actually work. Data is relegated to an IT function, siloed and, in some cases, boils down to simply producing more repor ...

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

Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling st ...