For anyone who didn't get to attend, here is the segment with @KirkDBorne and @dvellante (you can skip to 2:00 in). Would love to hear your thoughts, here or on the YouTube post.
https://t.co/BhcgDaAEjQ
@KirkDBorne made a solid point just now on industrializing data science: making a system that can be reproduced, from tools to techniques, so you aren’t reinventing it every time. That has HUGE impacts on enterprise scaled efficiency. #HPEEzmeral
Our friends at the @ITU are hosting a pretty cool event on Mar 22, on the future of networked cars. Why is the UN interested in this? Come find out. Then ping me and let's talk about how we can get involved!
https://t.co/Nz1BnHYQ0g
Hey @Ronald_vanLoon as a follow up to your post from @kdnuggets on top #DataScience skills, here's an article #HPEEzmeral just pushed on top open source DS tools. Agree, disagree, add?
https://t.co/XgiENkYtPC
@BretFisher@Njuchi_ Hey Bret from one Navy-now-Tech guy to another, it would be great to link up for a chat on what we have going on with Kubernetes at #HPEEzmeral. Fancy a call one day?
3. For doing something so complex you need a PARTNER. You need someone who can respond to the demands and challenges of such complex environments. This is why @DXCTechnology went with @HPE_Ezmeral.
#HPEEzmeral
2. Data lake and data management all in one tool, with a SUPER IMPORTANT FILE SYSTEM. Think about tools and cars all around the world, generating like 1.5PB (!!) generated per day. You can let that data reside anywhere globally and have access to it, in a DC or not.
Customers want to be able to have access to their data the same way they can turn on their lights and have access to water. Containers let you run the apps with data fabric files inside, giving confidence to run those loads without worrying about infrastructure. #HPEEzmeral
Issues with fraud, safety, privacy that @ericsson is dealing with across the world, moving $900M per day! So what kind of platform makes it work? It’s a data fabric from #HPEEzmeral.
1) providing hyper scale machine learning in autonomous drive, for example @BMW and their D3 platform. 250PB storage and growing. 50PB delivered every week with hundreds of scientists accessing to run simulations. That’s a LOT of data!!
NINETY PERCENT UTILIZATION! @rbchristiansen made some solid points on how collapsing the stack and getting right next to the silicon with simplified software has MASSIVE efficiency improvements. #HPEEzmeral
What do containers do? @KirkDBorne “#Containers abstract away the complexity. It empowers everyone in the organization so that everyone doesn’t have to be an IT expert.”
Which helps shift to being what to do and why org, versus focusing on how. That’s kind of cool.
#hpeezmeral