This week, Jeffrey is joined by Buck Woody, Applied Data Scientist working on the Azure Data Services team at Microsoft. Buck has over 39 years of professional and practical experience in computer technology and is also a globally sought-after speaker and author.
In this jam-packed episode, Buck talks about his passion for data and why it’s important to recognize that data is the central part of anything, which means keeping people employed. He talks about his role in machine learning and AI in Microsoft, and why we have to be extra careful when letting machines make the final call, why data science is useful, and the difference between business intelligence and data science. Buck shares the number one thing he feels developers need to know, and a few free resources that you can use to expand your knowledge and skills.
Mentioned in this Episode: Architect Tips—New video podcast! Azure DevOps Clear Measure (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo
