Machine learning is hard, there's no doubt about that But Machine learning in production is much harder than ML in notebooks. Developing the ML pipeline to deployment and then maintaining consistent quality prediction building a retraining pipeline becomes more complicated…
SYSTEMS
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Dynatrace CEO on Preventing Cloud Infrastructure Failures
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Please enjoy my interview with Dynatrace CEO Rick McConnell. Dynatrace CEO: We’re keeping companies away from the cloud precipice // $DT $DDOG $SPLK $SUMO https://
thetechnologyletter.com/the-posts/dyna
trace-ceo-were-keeping-companies-away-from-the-cloud-precipice
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Scaling AI Systems: Managing Complex Technical Layers
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This job is so insanely hard. You need everything to go right to scale. Just so many layers… That's all.
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Databricks optimizes cloud VMs with Azure and AMD technologies
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Two of our favorite things: saving our users time AND money That's why we combined the latest technologies from @Azure
, Databricks, and @AMD to help users take advantage of the new Lasv3-series VMs with the Databricks Runtimes. See for yourself https://
dbricks.co/3TdOkIZ -
Scalable Oversight: Supervising AI Systems Beyond Human Capabilities
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To ensure that AI systems remain safe as they start to exceed human capabilities, we’ll need to develop techniques for scalable oversight: the problem of supervising systems’ behavior without assuming that the overseer understands the task better than the system being trained.
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Data Sovereignty and Cloud Cost Optimization in MLOps
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How do you protect data sovereignty, reduce cloud costs, and future-proof your infrastructure investments? On Nov. 10, top experts—including @nvidia
's VP of Enterprise Computing, @ManuvirDas
—explain how you do all that in the real world. #MLOps Register: https://
domino.buzz/3UjejzD -
Local Server Infrastructure Challenges in Decentralized Networks
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By "local server" I mean the instance that you host your account on – each instance has to do a ton of work to sync up with what's happening everywhere else
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AI System Scaling Challenges: Preparing for 100x Growth
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I'm cautiously optimistic, mainly because the people who've been growing it for the past six years seem to have thought very hard about these topics and invested a huge amount of work in them But I agree that it's v. uncertain how it will cope with growing 100x in a few weeks!
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Human Sensory-Motor Processing Bandwidth and Perception Delays
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Human sensory-motor processing seems to operate at 10 bits/second. It takes 1/3 of a second before our brain registers how heavy an object we are lifting actually is, replacing the less accurate judgement we had previously made just by looking at the object.
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Tech Convergence: AI, ML, IoT Integration in Retail Digital Signage
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Connect The Dots! How #tech convergence #AI #ML & #IoT is enabled by #SystemsIntegrators – Examples #Digitalsignage in #Retail & more! See @Think_BlueStar @intel via @insightdottech https://
insight.tech/retail/sis-dep
loy-interactive-digital-signage-with-ease?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-eaves
… #software #ITInfluencer #hardware #IntelPartner #IoT @dinisguarda