Exploring ChatGPT and the Future of AI with Brian Julius [Ep 51]

On the Analytic Mind Podcast, Sam McKay invited Brian Julius, the Chief Content Officer of Enterprise DNA, to discuss ChatGPT, a promising new tool that could revolutionize data analytics. They shared their initial thoughts on ChatGPT and its potential to enhance careers in the field, rather than pose a threat. 

ChatGPT, short for “Generative Pre-trained Transformer 3,” is an OpenAI language generation model that uses machine learning to generate human-like text. While it is not specifically related to Power BI, it could potentially improve certain aspects of Power BI workflows or development. 

Listen to the Episode Here: Press Play Now!

About Brian Julius

Brian Julius is a data expert and a regular contributor to the Analytic Mind podcast. He has a keen eye for the latest trends and developments in the data industry. Brian is constantly testing and exploring new technologies, such as Chat GPT, to determine how they can be used to enhance data analysis and development. He is passionate about helping people understand and use data more effectively, and leveraging the potential of AI tools to increase efficiency and productivity. Brian is an incredibly knowledgeable and inspiring speaker and is sure to bring a wealth of insight to the Analytic Mind podcast.

In this episode, you will learn the following:

  1. Why Chat GPT is not a threat to your Data Analysis career, but an enabling tool.
  2. Open AI’s potential to upend Google’s dominance.
  3. Insights on the recent Power BI Updates and Features
  4. A sneak peek at what Enterprise DNA has in store

Topics Covered: 

  • 02:17 – Brian’s first impression of ChatGPT and how it has evolved since he first used it.
  • 05:25 – Chat GPT as an enabling tool for your Data Analytics career. 
  • 14:33 – Could Chat GPT upend Google’s dominance?
  • 21:40 – Insights on the latest Power BI Updates and Features 
  • 34:05 – Exciting thing going on at Enterprise DNA

Resources Mentioned

The use of advanced language generation models like GPT-3 in data analytics could increase the efficiency and effectiveness of Power BI processes, as well as enhance the skills and career prospects of data analysts. However, it is important to note that GPT-3 and similar models are still in the early stages of development and may not always be reliable or accurate. It is therefore essential to exercise caution and judgment when using these tools and to thoroughly validate and verify any results or insights they generate.

Connect with Brain Julius

Share the resource