David Morton is a technologist with extensive experience across various sectors, including retail, finance, consulting, energy, and commodities trading. David has successfully contributed to companies of all sizes, from small startups to large enterprises with up to 60,000 employees. Renowned for his ability to simplify complex concepts and solutions, he believes in using the most effective tools to address challenges efficiently and elegantly.   Topics of Discussion: [2:41] David Morton’s background and early Career. [5:30] What is a data scientist? [7:35] Data Science vs. Software Engineering. [12:08] Hypothesis Testing and Model Building. [12:49] David explains the concept of a model in data science, using the metaphor of how a grandmother thinks about someone. [13:04] How models are mathematical representations of the real world, used for prediction and analysis. [15:06] Data science models vs. a GPT model. [18:08] The importance of using the right tool for the job. [26:10] The operational side of data science and the role of machine learning. [35:56] Practical examples of Data Science applications.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon! Jeffrey Palermo’s Twitter — Follow to stay informed about future events! David Morton LinkedIn David Morton GitHub   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.