From reducing energy consumption to optimizing operations, sustainability can revolutionize your industrial data architecture. Learn how: http://
ow.ly/UeUx50OgXNJ #sponsored #highbyte_iiot #industrialrevolution #industry40 #sustainability @Datasciencectrl @ipfconline1 via @fogoros
AUTOMATION
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Sustainability Transforms Industrial Data Architecture Efficiency
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Business Readiness for AI-Driven Supply Chains and Automation
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From today’s headlines: ethical supply chains, tipping at self-checkouts, salad-chopping robots, and the IRS will do your taxes. Will your business be ready? @SAP can help to #BeReady: https://t.co/lWTbdMZszm
— Kirk Borne (@KirkDBorne) 20 mai 2023
—#SAPSapphire #FutureOfWork #GenerativeAI #AIhttps://t.co/4jJ4PtvfgQFrom today’s headlines: ethical supply chains, tipping at self-checkouts, salad-chopping robots, and the IRS will do your taxes. Will your business be ready? @SAP can help to #BeReady: https://
sap.com/programs/be-re
ady-ai.html?campaigncode=CRM-YA23-INT-2021326&source=socialad-na-influencer-twitter
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#SAPSapphire #FutureOfWork #GenerativeAI #AI -
MLOps Maturity Model: Five Levels of Production Lifecycle
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2) MLOps maturity model There are 5 levels of the MLOps lifecycle in production 1) No MLOps (Static model deployment, used for POC)
2) DevOps but NO MLOps
3) Automated training (Cont…) -
Full Lifecycle ML Model Automation and Real-Time Redeployment
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4) Automated deployment
5) Full lifecycle automation (Including retraining and redeployment of ML models in real-time) Learn more here https://
learn.microsoft.com/en-us/azure/ar
chitecture/example-scenario/mlops/mlops-maturity-model
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ML Pipeline Orchestration for Automated MLOps Deployment
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– Orchestration and ML pipelines This includes converting ML code in modular components to create a connected pipeline for smother deployment and maintenance Pipelines also enable automated training and deployment for the MLOps lifecycle
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Will AI bots communicate and chat with each other autonomously?
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I am doing good. Just wondering if the bots will chat among themselves
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Three cloud strategies to navigate market uncertainty
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Inside Azure for IT: 3 cloud strategies to navigate market uncertainty: The saying, “the only thing constant is change,” is one I can’t seem to get out of my head these days, and also seems to resonate with customers I talk to given… #Azure #Cloud #DevOps https://
azure.microsoft.com/blog/inside-az
ure-for-it-3-cloud-strategies-to-navigate-market-uncertainty/?utm_source=dlvr.it&utm_medium=twitter
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AutoGPT: GPT-4 Open-Source Platform for Complex Task Automation
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Heard of AutoGPT? It is a GPT-4 driven experimental open-source platform that can carry out more complex tasks and multi-step procedures by creating its own prompts and feeding them back to it.@OpenAI @_DigitalIndia @nasscom @GoI_MeitY @NeGD_GoI pic.twitter.com/ENBUJzrXGX
— IndiaAI (@OfficialINDIAai) 20 mai 2023Heard of AutoGPT? It is a GPT-4 driven experimental open-source platform that can carry out more complex tasks and multi-step procedures by creating its own prompts and feeding them back to it. @OpenAI @_DigitalIndia @nasscom @GoI_MeitY @NeGD_GoI
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Disintermediation and Digital Self-Service Platforms Reshape Business
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While I believe the human component is fundamental to any business relationship, unfortunately, there are some industries where disintermediation will lead to a lack of human relationships in favor of self-service digital platforms.
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DevOps vs Platform Engineering: Key Differences Explained
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What’s the Difference Between DevOps and Platform Engineering? https://
devops.com/whats-the-diff
erence-between-devops-and-platform-engineering/
… via @devopsdotcom #DevOps #CloudNative #cloud #tech #lowcode #NoCode #DevSecOps #AIOps #MLOps #k8s #Kubernetes #Docker #github #Engineering #technology #OpenSource #bot #python #javascript