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DevOps Best Practices to Accelerate your ML and
#AI Journey: http://bit.ly/2H4yZat via@dataiku@DataScienceCtrl —————#abdsc#BigData#MachineLearning#DataScience#DataOps#MLOps#AIOpspic.twitter.com/pChH9dHkum
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DataKitchen Webinar: Analytics at Amazon Speed. View on-demand. http://bit.ly/2CSd7vl
#DataOps -
Download
#DataOps Book: The Authorative First Edition to begin your#DataOps journey. https://buff.ly/35pNVuE pic.twitter.com/ECFBj6Sni1
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We are proud to announce that our Chief
#Data Scientist@SorishaPragyan will be leading a breakout session at@AFCEA#WEST2020 on March 2. Join us to learn about#tactical vs.#strategic intelligence in a#DataOps environment.#Pentaho#Innovation#Showcasepic.twitter.com/n7QxksnDAq
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Let’s take a look at five common mistakes you could be making with your DataOps and how that could be affecting your success.
#DataOps#DataScience#ArtificialIntelligencehttps://hubs.ly/H0mQwq50 -
#DataOps is a powerful methodology that virtually eliminates#data errors - this might have been avoided. A bad system ruins the work of good people.https://twitter.com/datakitchen_io/status/1224839688797728772 … -
5 best practices for data management with
#DataOps https://lnkd.in/eJpNUeb -
Data at Work Podcast 1: Our panel of experts take on some of the major questions around data strategy - most importantly, how to get started. https://htchivantara.is/36HZ7Cv
#DataOps pic.twitter.com/q3W1dnrkK7
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Check out our newly designed website and learn what is
#DataOps: https://buff.ly/38Ke0pu pic.twitter.com/fxx4Jc3ahE
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The
#IowaCaucusDisaster is a very, very common failure pattern in data analytic systems. The principles of#DataOps and http://datopsmanifesto.org are the solutions: https://blog.datakitchen.io/blog/iowa-caucuses-do-your-dataops …pic.twitter.com/85H0PPVWUL
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#IowaCaucuses do your#DataOps ... don't find embarrassing errors in production reports then stress your team to fix them while your customers watch. https://twitter.com/Chris_Gabriel1/status/1224742354709549056 … -
#DataOps can provide organizations with real-time data insights, allowing every team to collectively work toward a common goal. https://bit.ly/2tnLV8e#realtimeanalytics#streaminganalytics#DataOps -
My favourite slide of
#NetAppINSIGHT so far. If your business is driven by data you are operating in a#DataOps world; so free you developers to develop you data@LogicalisUKpic.twitter.com/UkoMHV1rxG
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Let's break down the difference between
#DataOps and#DevOps: https://oal.lu/PZest pic.twitter.com/D50useB7Am
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Trends in Artificial Intelligence and
#DataScience for 2020: http://bit.ly/2RVA4YH ——————#abdsc#BigData#MachineLearning#AI#NLproc#Cybersecurity#Agile#DataOps#AutoMLpic.twitter.com/ubWizxT5zC
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A Great Model is Not Enough: Deploying AI Without Technical Debt https://medium.com/data-ops/a-great-model-is-not-enough-deploying-ai-without-technical-debt-70e3d5fecfd3 …
#dataops -
Data at Work Podcast 1: learn how to get started with data initiatives to deliver immediate business value with better aligned data and business strategies: https://htchivantara.is/36HZ7Cv
#DataOps pic.twitter.com/cJsG9NS43X
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#DataOps#DevOps#MLOps#AIOps What do they mean and how do they differ from each other?https://lnkd.in/g3Rm5su -
#ArtificialIntelligence requires trusted data, and a healthy#DataOps ecosystem | ZDNet https://buff.ly/36NNPN5 -
#DataOps is moving from hype to solution –@Madhoop explains how DataOps is bringing together people, process and technology for agile and automated data management: https://htchivantara.is/37Rd2HG pic.twitter.com/yIeK2Z4JoQ
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