Analytics vs. Data Science vs. ML Research: E...

Joyjit Roy shares his experience leading large-scale initiatives across insurance and eCommerce, including multi-year modernization programs that integrate AI into core enterprise systems. We explore what it takes to move from legacy platforms to intelligent, scalable systems tha ...  Show more

Key Highlights: Production-Scale LLMs: Deploying and scaling recommender systems powered by large language models. AI Infrastructure Challenges: Building reliable, high-performance search and ML platforms at global scale. MLOps & Model Optimization: Lessons learned from optimizin ...  Show more

In this episode of the SuperDataScience Podcast, I chat with the Head of Business Intelligence at EXASOL, Eva Murray. You will listen to the start of a visual analytics journey, hear about Eva's career decisions which took her around the world, learn about Tableau and an intro to ...  Show more

In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics. If ...  Show more

In this episode of the SuperDataScience Podcast, we will listen to the CEO and Founder of Business Science LLC, Matt Dancho. You will hear about combining data science with business and finance, learn why data science consultancies are in demand, and learn about the open-source s ...  Show more

Today marks the last episode of our four-part DataFramed Careers Series on breaking into a data career. We’ve heard from Sadie St Lawrence, Nick Singh, and Khuyen Tran on best practices to adopt to help you land a data science interview. But what about the interview itself? Today ...  Show more