Podcast 2: Production Model Monitoring
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
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
Massive investments in data science teams and machine learning platforms have yet to yield results for most companies. The last mile for AI project success… Read More »DSC Webinar Series: Accelerating AI Adoption with Machine Learning Operations (MLOps)
A distributed network is key to providing storage at lower costs than other cloud providers. By equipping customers with fast, secure and fully distributed storage,… Read More »DSC Webinar Series: Managing Risk in Decentralized Networks with Time Series
The Vera C. Rubin Observatory, currently under construction in Chile, will conduct a vast astronomical survey of our dynamic Universe starting in 2022. They plan… Read More »DSC Webinar Series: 500 Petabytes of Data to Understand the Universe Better
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
Shiny is the most popular framework among R users for developing dashboards and web applications. It is commonly used by statisticians and data scientists to… Read More »DSC Webinar Series: Developing and Testing Shiny Apps
Mathematical optimization (MO) technologies are being utilized today by leading global companies across industries – including aviation, energy, finance, logistics, telecommunications, manufacturing, media, and many… Read More »DSC Webinar Series: Mathematical Optimization Modeling: Learn the Basics