Top Tweets for #reworkDevOps
Had a great time on the panel about challenges and opportunities of investing in Machine Learning with @JuniTweets, Lynn Calvo from @gmfinancial and Clint Wheelock from @tractica at @reworkDEVOPS #reworkDEVOPS #reworkAI lots of excellent conversations today!
Huge thank you to our sponsors at the Applied #AI Summit & #MachineLearning for #DevOps Summit here in Houston! We couldn’t have done it without you. @adobe @accenture @BlueData @PureStorage @algorithmia @pipelineai @OsmosisAI @CloudMinds_Tech #reworkAI #reworkDEVOPS #thankyou
Fascinating to see how engineers at @Spotify are approaching using CI/CD from Haresh Chudgar at @reworkDEVOPS #reworkDEVOPS #reworkAI basically what I gathered is train and deploy, train and deploy... machine learning engineers are on-call, not just creating models.
Using AI to optimize processes. @HitachiGlobal @SathRao Presenting #ReworkAI roadmap to accelerating value for #ArtificialInteligence in #Manufacturing @teamrework @reworkAI @reworkpip #reworkDEVOPS “Humans + Machines - Together is Better”
TIL: about Kubeflow https://t.co/uP1Jpcl5al - a Cloud Native platform for machine learning based on Google’s internal machine learning pipelines from Chandni Sharma at @googlecloud at the @reworkDEVOPS conference #reworkAI #reworkDEVOPS
"Using data to infer deployment profiles for #cloud apps" from @vsqr isn't the 1st talk from #reworkDEVOPS to emphasize the limits of throwing more hardware at performance problems & how #AI & #machinelearning can provide alternative options
Enjoyed learning about how @walmartlabs is using data to infer deployment profiles for cloud applications from @vsqr at @reworkDEVOPS #reworkAI #reworkDEVOPS ”the more projects that onboard the better our predictions get”
Surprised (but glad) to see @vsqr leveraging terminology from complexity science in his talk by using "probe" instead of "experiment" #reworkDEVOPS
5 Plumbing tips for Smart Pipelines from @JuniTweets from @CloudBees at @reworkDEVOPS #reworkDEVOPS #reworkAI
Coming back from the break we have @JuniTweets w/ "5 plumbing tips for a smart pipeline" #reworkDEVOPS
In her talk "Harnessing #AI & #MachineLearning for self-driven IT Ops" @jyotsnac starts by describing the problems that emerge from tightly coupled siloed orgs in her own words #reworkDEVOPS
@cacorriere @kohsukekawa it has been a cool summit so far #reworkDEVOPS. Agenda for second day looking great!
Machine Learning meets DevOps https://t.co/qABVwI06AQ #reworkDEVOPS
Abductive logic is an important concept! Hopefully it makes it into more dictionaries 😉
Here's my ignite from @DOES_USA about it, if you'd like to learn more: https://t.co/E6JNXq4ObX
#reworkDevOps
Binwei Yang w/ Wal-Mart labs is talking about custom tailoring #TensorFlow docker images to specific CPU/GPU hardware for performance optimization & is p much blowing my mind right now #reworkDevOps
Predicting which change might cause an incident. SVM beats Deep Learning @orieg #reworkDEVOPS
"Expecting your ops team to know how to support your machine learning algorithms is like showing up to sea world with a giraffe since they're already dealing with large animals" @doppenhe 😂🐳 #reworkDevOps
Hitting the nail on the head, @doppenhe w/ @algorithmia points out #AI/#machinelearning
!= *production* #AI/#machinelearning 💯#reworkDevOps
How configurable are you systems? There may very well be more ways to configure them than there are atoms in the universe! 🤓🌌🚀 @PooyanJamshidi #reworkDevOps
In his talk "#MachineLearning meets #devOps" @PooyanJamshidi discusses how pipeline component configuration can impact performance. Tuning Cassandra from defaults resulted in a 10x(!!) performance boost #reworkDEVOPS
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