AI & Data Basics Part 1

In this first installment of a two part series, Nicole Gill probes data analytics expert, Akhila Nagula, through the fundamentals of leveraging AI tools for workplace analytics. The episode unpacks four essential types of analytics: descriptive (what happened), diagnostic (why it happened), predictive (what will happen), prescriptive (how to act). Through practical examples focused on HR scenarios, Nagula demonstrates how professionals can transform raw data into actionable insights using platforms like ChatGPT plus Claude.

In this opening episode of a two-part series on AI analytics basics, data expert Akhila Nagula breaks down how non-technical professionals can harness AI tools to make data-driven decisions. The discussion explores the four fundamental types of analytics through the lens of HR scenarios. From survey analysis to employee retention patterns, listeners gain practical insights into transforming workplace data into actionable strategies.

"Think about AI as having the capability to write code, do analytics for you, do the analysis for you - everything for you. But as a human, you need to know what exactly you want to ask AI to do." This perspective sets the tone for a refreshingly accessible conversation about demystifying data analytics. Perfect for professionals looking to embrace AI tools without getting lost in technical complexity.

Music by: Harvey Waldman

Tip: You can listen to the podcast at 1.25X to better grasp the content faster.