Point of View

What’s new in the Ray Distributed Library Ecosystem

By Ben Lorica and Ion Stoica. [This post appeared originally on the Anyscale blog.] The Ray community of users, contributors, libraries, and production use cases have grown substantially since we first described the Ray ecosystem over a year ago. The majority of Ray users continue to come from libraries and third-party integrations. They include developers who useContinue reading “What’s new in the Ray Distributed Library Ecosystem”

Get Ready For Confidential Computing

Companies that are able to use data securely will be well-positioned to build data and AI applications in the future. By Assaf Araki and Ben Lorica. The use of data within companies continues to grow exponentially. This comes at a time when data platforms and tools for analytics, data science, and AI continue to getContinue reading “Get Ready For Confidential Computing”

2022 Data Engineering Survey Report

By Jesse Anderson, Ben Lorica and Jenn Webb. The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures. The 2022 Data Engineering Survey examined the changing landscape of data engineering and operations challenges, tools, and opportunities. ThisContinue reading “2022 Data Engineering Survey Report”

Resurgence of Conversational AI

Large language models ease the development of useful chatbots By Kenn So and Ben Lorica. With the release of GPT-3 in 2020, users got to see what it might be like to interact with a computer that understands short text prompts and can generate responses and longer passages at a humanlike level. Many technologists hailedContinue reading “Resurgence of Conversational AI”

Top Places to Work for Data Engineers

We identify organizations in the U.S. that will help you develop your career in data engineering. By Jike Chong, Ben Lorica, and Yue Cathy Chang. In our previous post (“Top Places to Work for Data Scientists”), we compiled lists of U.S. organizations that can help data scientists identify great teams to join at various stagesContinue reading “Top Places to Work for Data Engineers”


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