{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"TechDaily.ai","title":"The Evolution of Data Science: From Statistics to Big Data & AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/f75fa3b4\"></iframe>","width":"100%","height":180,"duration":812,"description":"Trace the history of data science from its 1960s statistical roots to today’s AI-powered big-data landscape. In this episode of TechDaily.AI (brought to you by StoneFly), we map out:\nPioneering Milestones: Tufte’s 1962 “Future of Data Analysis,” Tukey’s Exploratory Data Analysis, the rise of KDD & the Data Science Journal\nBreakthrough Tech: Hadoop, NoSQL, Data Lakes, AutoML\nDefining the Role: How the “Data Scientist” emerged (DJ Patil, Jeff Hammerbacher) and the modern data team ecosystem\nKey Challenges: Data cleaning, ethics & bias, and balancing innovation vs. stability\nLooking Ahead: Automation trends, cloud migration, and the future skillset for data pros\nPerfect for anyone curious about how data science became the “sexiest job of the 21st century” and where it’s headed next.","thumbnail_url":"https://img.transistorcdn.com/MKzoODnpsE2Vy4aGphW9b-GBzDjrXS02jU9UfoOrOl4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mZjQ4/NzM0YWU5MjE5MmI4/NzM3Mjg2YzM0NGE5/ZjUzYi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}