In today’s Data Science Central podcast, we will show you how SAS Viya, a cloud-enabled and API-driven analytics engine, can easily automate decisioning at a… Read More »DSC Podcast Series: ML Decisioning, Deployment and Governance at Scale
Machine learning is said to be an important driver of the future of intelligent systems, automatically analyzing data and distilling new knowledge, actionable insights and… Read More »DSC Podcast Series: Do We Need Data Scientists in Today’s World of Automation?
2020 is the year that AI has moved from a science experiment to business as usual. And with the arrival of AI comes the need… Read More »DSC Podcast Series: Data Science Fails: The Transparency Sweet Spot
Many models created by data science teams never generate value because they never reach production. In the end, data scientists have to help deploy and… Read More »Podcast 4: Production Model Governance: MLOps
Many models created by data science teams never generate value because they never reach production. In the end, data scientists have to help deploy and… Read More »Podcast 3: Production Lifecycle Management: MLOps
You want to scale your use of AI, but you are blocked by production issues. Which means that data scientists have to help deploy and… Read More »Podcast 2: Production Model Monitoring
Many models created by data science teams never generate value because they never reach production. In the end, data scientists have to help deploy and… Read More »Podcast 1: Tackling the Challenges of Production Model Deployment with MLOps
Data analytics technology is better than ever. In fact, today’s solutions have developed so quickly that most employees don’t have the skills to harness their… Read More »DSC Podcast Series: The Human Impact of Data Literacy: 5 Steps to Driving Data Leadership in 2020
In today’s Data Science Central podcast, we will cover, at a high level, the main concepts of AI. We will give examples of what the… Read More »DSC Podcast Series: AI: Taxonomy & Beyond
Bias in the model can happen through different stages of the modeling process. The most important stage is data selection and sometimes bias is the… Read More »DSC Podcast Series: Tips on How to Avoid Biased Models
