Linux Foundation: Uber Joins the Linux Foundation as a Gold Member, CNCF Survey and Cloudera
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Uber Joins the Linux Foundation as a Gold Member
Uber has been an active and committed member of the open source community, leveraging, contributing, and developing open source solutions across our tech stack since launching our platform nearly 10 years ago. Announced today during Uber Open Summit 2018, we extend our commitment by joining the Linux Foundation as a Gold Member, continuing to support the open source community through the Linux Foundation.
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“Open source technology is the backbone of many of Uber’s core services and as we continue to mature, these solutions will become ever more important,” said Thuan Pham, Uber CTO. “The Linux Foundation not only provides homes to many significant open source projects, but also creates an open environment for companies like Uber to work together on developing these technologies. We are honored to join the Linux Foundation to foster greater collaboration with the open source community.”
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CNCF Survey: Cloud Usage in Asia Has Grown 135% Since March 2018 [Ed: They just call every server "cloud" because they call themselves "cloud"]
The bi-annual CNCF survey takes a pulse of the community to better understand the adoption of cloud native technologies. This is the second time CNCF has conducted its cloud native survey in Mandarin to better gauge how Asian companies are adopting open source and cloud native technologies. The previous Mandarin survey was conducted in March 2018. This post also makes comparisons to the most recent North American / European version of this survey from August 2018.
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AI in the Real World
We are living in the future – it is just unevenly distributed with “an outstanding amount of hype and this anthropomorphization of what [AI] technology can actually provide for us,” observed Hilary Mason, general manager for machine learning at Cloudera, who led a keynote on “AI in the Real World: Today and Tomorrow,” at the recent Open FinTech Forum.
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As progress is made in the development of AI, machine learning and deep learning, there are still things we need to keep in mind, Mason said. “One of the biggest topics in our field right now is how we incorporate ethics, how we comply with expectations of privacy in the practice of data science.”
She gave a plug to a short, free ebook called “Data Driven: Creating a Data Culture,” that she co-authored with DJ Patil, who worked as chief data scientist for President Barack Obama. Their goal, she said, is “to try and get folks who are practicing out in the world of machine learning and data science to think about their tools [and] for them to practice ethics in the context of their work.”
Mason ended her presentation on an optimistic note, observing that “AI will find its way into many fundamental processes of the businesses that we all run. So when I say, ‘Let’s make it boring,’ I actually think that’s what makes it more exciting.’”
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