For another year in a row, #Palantir ranks as the No. 1 top vendor in the 2024 ModelOps Market Study published by Dresner Advisory Services LLC. To view the full report, visit: https://t.co/Oi8h08bXCZ Copyright 2024 – Dresner Advisory Services

Watch our on-demand webinar to learn how to scale responsible AI, avoid regulatory risks, and drive sustainable value: https://t.co/wQGLhXf2j8 #GartnerIT #AI #ModelOps #Webinar

🌐 New on the Blog: Defining the Differences between MLOps, ModelOps, DataOps & AIOps 🚀 Stay ahead in the ever-evolving world of Digital Transformation. This article explores key insights into emerging technologies and their impact on today's business landscape. Discover how to

AI infra is entering its teenage years. There's a lot of hype, bit of raw potential, and some identity crisis Last week, I wrote three essays to make sense of where things are actually heading: ModelOps is more than deployment and monitoring. Its how modern software teams will

Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templates https://t.co/mNtzFn2wIl #machinelearning #ai

🌐 New on the Blog: Scaling and Governing AI Initiatives with ModelOps 🚀 Stay ahead in the ever-evolving world of Digital Transformation. This article explores key insights into emerging technologies and their impact on today's business landscape. Discover how to leverage

ModelOps is a system that helps financial organisations improve their predictions, decisions and manage processes throughout a product lifecycle. To see why your company should be using #ModelOps, take a look at our report: https://t.co/1J0dawhNe1 #PredictiveAnalytics

AI Hype Cycle: Gartner Charts the Rise of Agents, ModelOps, Synthetic Data, and AI Engineering

Unleashing Data Science Efficiency: 5 ModelOps Capabilities That Drive Productivity: ModelOps plays a crucial role in operationalizing and managing machine learning models in production. By… #DataScince #ArtificialIntelligence #MachineLearning https://t.co/eDPBWKK9i1

#uxjobs #designjobs (#remote) Senior Product Designer, AI & ModelOps at @gitlab

Where does your ML team stand? Explore the top MLOps maturity models (Google, Microsoft Azure, GigaOm) and what they mean for scaling AI. ➡️ https://t.co/aljYeeRkIj #MLOps #MLOpsplatform #AI #MachineLearning #MLmodel #DataScience #DevOps #ModelOps #AIDevelopment #Kiroframe

AI governance is not optional, it's essential. The EU Artificial Intelligence Act categorizes AI risk to protect rights and safety. Discover more with @ingliguori. #AIAct #Governance #ModelOps #AIethics

#Infographic: Artificial Narrow Intelligence Vs Artificial General Intelligence by @ingliguori #ArtificialIntelligence #ComputerScience #AI #smartmachines #AGI #NarrowAI #MachineLearning #DeepLearning #DataScience #RPA #NeuralNetworks #Robots #Bot #DigitalTwins #ModelOps #MLOps

Everyones hyped about building LLMs. But very few are asking: Who is going to monitor them when they lie? Who is going to retrain them when the world changes? ModelOps isnt sexy, but its what keeps AI from imploding Tomorrow I drop a note about whats coming next in model

Save your spot to join experts from Qlik, @awscloud and BARC. We're sharing how ISVs can scale AI, operationalize DataOps, ModelOps, AgentOps, and build intelligent SaaS solutions that drive new monetization. https://t.co/Doy25aJGJj

همه ops ها چطور قرار است با هم مدیریت شوند ؟ DevOps= development (dev) operations (ops) DevSecOps= development, security, ops DataOps= Data ops MLOps = Machine Learning ops ModelOps AIOps= AI for IT ops ITOps SysOps FinOps GitOps ChatOps = chat-based ops

Struggling with noisy market trends like LLMs and GenAI? 😰 Solid data practices are getting lost. ✨ Join our live webinar on June 18th to discover how agile data integration can impact ModelOps daily ✨ 🚨 Register here: https://t.co/QBXkey4lfq

Ⓜ️ Choosing MLOps tools? Here’s a breakdown of 21 open-source options and what they do best 👇 ➡️ https://t.co/ixyqwGlEJe #MLOps #MLOpsplatform #AI #MachineLearning #DataScience #Automation #DevOps #ModelOps #AIDevelopment #Kiroframe

QuantOps aka Quantitative research operations: -It extends DevOps practices to the model lifecycle. -It encompasses everything from data preparation and model training to deployment and monitoring. -QuantOps = DataOps + ModelOps + DevOps. Some key aspects of QuantOps: -Enables