CTO Linux Machine Learning 
TechCrunch
MAY 10, 2022
“The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .
CTOvision
DECEMBER 21, 2013
Mike Olson – Chief Strategy Officer, Cloudera. Eli Collins – Chief Technologist, Office of the CTO, Cloudera. EzBake, DIAs Technology Agnostic Framework Under ORION that Enables Seamless Transition into ICITE. The Evolution of Machine Learning from Science to Software.
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CTOvision
JANUARY 23, 2014
Mike Olson – Chief Strategy Officer, Cloudera. Eli Collins – Chief Technologist, Office of the CTO, Cloudera. 10:30 AM EzBake, DIAs Technology Agnostic Framework Under ORION that Enables Seamless Transition into ICITE. 2:00 PM The Evolution of Machine Learning from Science to Software.
CTOvision
FEBRUARY 20, 2015
Azure Machine Learning Aims to Convert Data to Information (technewsworld.com). Microsoft Shows More Love For Linux, HDInsight Now Supports Ubuntu On Azure (microsoft-news.com). An Open Microsoft: Azure HDInsight Available for Linux (windowsitpro.com). IBM makes big data push (channeleye.co.uk).
LaunchDarkly
JANUARY 7, 2020
At the November Test in Production Meetup in San Francisco, Larry Lancaster, Founder and CTO at Zebrium, spoke about the benefits of using machine learning to organize and detect patterns in unstructured log data. Find ‘root cause’ in log data to prevent future incidents. Click to tweet.
Linux Academy
DECEMBER 3, 2019
This fully integrated IDE (Integrated Development Environment) is specifically for Machine Learning. There are, of course, many more announcements from the keynote and Linux Academy will continue to blog throughout the week, but those were a few of the exciting announcements that caught my eye from the keynote. In closing.
Prisma Clud
JUNE 20, 2023
As the CTO of Prisma Cloud, I'm thrilled to share our insights and the learnings gained from witnessing the rise of cloud-native technologies and the rapid adoption of the public cloud. It must also integrate with different workload types, as well as operating systems like Linux or Windows and architectures like x64 or ARM.
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