We're excited to announce http://
H2O.ai has been designated as an AWS PrivateLink Service Ready Provider. H2O Managed Cloud with AWS PrivateLink is now generally available. @AWS_Partners Learn more: https://
h2o.ai/blog/h2o-manag
ed-cloud-with-aws-privatelink-is-now-generally-available/?utm_medium=Organic-Social&utm_source=twitter&utm_campaig=blog
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SOFTWARE
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H2O.ai Announces AWS PrivateLink Service Ready Provider Designation
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Microsoft Teams Premium Enhances Enterprise Collaboration and Meeting Experience
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Introducing Microsoft Teams Premium, the better way to meet https://
microsoft.com/en-us/microsof
t-365/blog/2022/10/12/introducing-microsoft-teams-premium-the-better-way-to-meet/?utm_source=dlvr.it&utm_medium=twitter
… #Office365 #Cloud #Microsoft #DataIntelligence #TeamCollaboration #Technology #MicrosoftCloud #Collaboration -
Data Backup Strategy and Cloud Storage Trust
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I tend to assume that any computer or mobile device I own could be stolen or broken at any moment, so I'm never happy until every piece of data I care about is backed up somewhere else – ideally encrypted but to be honest I mainly trust iCloud and Dropbox and S3
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TensorFlow Graph Performance Eliminates Python Slowness Issues
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The fact that we're able to do everything as part of the TF graph is really nice — Python slowness is never an issue. There's no need for us to rewrite anything in, like, Cython or Rust.
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Keras Preprocessing Layers: High-Performance In-Graph Implementation
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All the work is done in Keras preprocessing layers, which are implemented in TF ops (everything is 100% in-graph!) so it's highly performant. During training (presumably on GPU/TPU) you'd use async preprocessing in TF data to avoid CPU preprocessing being a bottleneck.
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Microsoft 365 Ignite: Workforce Collaboration Across Office Locations
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Microsoft 365 at Ignite—Re-energize your workforce in the office, at home, and everywhere in between https://
microsoft.com/en-us/microsof
t-365/blog/2022/10/12/microsoft-365-at-ignite-re-energize-your-workforce-in-the-office-at-home-and-everywhere-in-between/?utm_source=dlvr.it&utm_medium=twitter
… #Office365 #Cloud #Microsoft #Collaboration #TeamCollaboration #DataIntelligence #Agile #MicrosoftCloud -
Luma recommended for no frills mobile AI applications
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Here's an elaboration: https://
youtube.com/watch?v=sPIOTv
9Dt0Y
… +1 to Luma if you want no frills mobile -
Building Machine Learning Systems: Complete Components Overview
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Building machine learning systems is hard. Some of the components you need: 1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API At @abacusai we help you with this! -
SAS Viya Now Available on Azure Marketplace with Pay-Per-Hour Pricing
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As shared by @TechTarget
: "on the Azure Marketplace, potential customers as small as a single end user can now buy and download Viya with a click and pay 55 cents per hour on virtual CPU clusters." @antgrasso partnership with @SASsoftware #SASVisionary -
Databricks SQL Analyzes Pet Costume Data from Chewy
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Is there anything cuter than a pet in a costume? With the power of #DatabricksSQL, we analyzed costume data from Chewy to learn things like: What are the Halloween pet costumes? What can we uncover about customer sentiment? Take a look https://
dbricks.co/3tn1uZs