Telecom giant Vodafone is no stranger to the world of artificial intelligence (AI) and machine learning (ML), having used the technology for years, with hundreds of data scientists that have built thousands of models. While Vodafone was able to deploy and benefit from AI, over the last several years it increasingly faced a number of challenges. Among the challenges was the issue of scaling its AI workloads in a standardized and repeatable approach. Vodafone also faced issues with speed and security. In a session at the Google Cloud Next 2022 event this week, Sebastian Mathalikunnel, AI strategy lead at Vodafone, detailed the issues his organization faced and what it had to do to help overcome them.

R is a free programming language for data analysis, statistical modeling and visualization. It is one of the most popular tool in predictive modeling world. Its popularity is getting better day by day. In 2016 data science salary survey conducted by O'Reilly, R was ranked second in a category of programming languages for data science (SQL ranked first). In another popular KDnuggets Analytics software survey poll, R scored top rank with 49% vote.

In this tutorial, attendees will learn how to use Ray to scale their new and existing Python code. It will cover the Ray system architecture, example applications, GPU support, and best practices. It will also include material for more comprehensive exercises. Attendees will also receive a tutorial on Modin, and how Pandas workflows can be scaled by changing a single line of code.