Harness’ Post

🤔 Ever wondered how to take your machine-learning models from development to seamless production? 💻 MLOps is the key! In my latest blog, I explore: 1. The importance of MLOps in operationalizing ML models. 2. The challenges ML practitioners face in real-world environments 3. How DevOps principles apply to ML, transforming into MLOps 4. The different maturity levels of MLOps and how automation plays a crucial role in each 📌 Whether you’re looking to streamline your ML workflows or ensure your models stay effective over time, this blog offers a comprehensive overview of the MLOps lifecycle. ♻ Repost to help your network. #MachineLearning #MLOps #AI #DevOps #DataScience

In 2023, AI stole the spotlight, and its momentum is set to surge even further in 2024. Join us by the fireside as we delve into the promising opportunities awaiting us in the realms of AI and DevSecOps for the year 2024.

Jump on a stool, throw on some headphones, and join Wim or Marco in a lively discussion at booth 214 at COMMON POWERUp 2024 in Fort Worth, Texas! 🎙 Be part of the conversation on the latest trends in AI, DevOps, and IBM i! See you there! Wim Jongman AND John Rhodes talk a bit about AI. #COMMONPOWERUp2024 #RemainSoftware #AI #DevOps #IBMi #FullStackDevOps

Excited to announce our upcoming webinar! 🚀 I have seen the challenges of managing complex ML pipelines so many times. Join us on May 29th at 11:30 AM EDT to learn why using too many tools can hinder your project's success and how to avoid these traps. Don't miss out! Register here: https://lnkd.in/dt3F29iV #MachineLearning #DataScience #QwakAcademy #MLPipeline #TechTalk #MLOps

Alexander Machado explains why MLOps is essential for streamlining the deployment and monitoring of machine learning models. How has MLOps improved your workflow and model reliability? 🎙️ P.S. - Don't forget to give us a follow! Here's a clip for this topic: https://bit.ly/3yrpFMb #MLOps #MachineLearning #DataScience #AI #Automation

Are you ready to take your #AI from proof of concept to full-scale production? Dive into our upcoming webinar where we'll unveil the secrets to a seamless transition, integrating MLOps and Sovereign AI principles to take control of your AI at every level. Our experts, Loic Maisonnasse and Yannick Lecroart, will tackle common hurdles such as AI integration and scalability, and share strategies for defining end-to-end governance and DevOps/MLOps methodologies. Register now! Go to: https://lnkd.in/g9ac2TT8

🚀 Embracing MLflow: The Backbone of MLOps 🚀 In the ever-evolving landscape of machine learning and data science, managing the lifecycle of ML models is becoming increasingly complex. Enter MLflow, an open-source platform that streamlines the entire ML lifecycle—from experimentation to deployment. Why MLflow is a game-changer for MLOps: 🔹 Experiment Tracking: Keeps a detailed record of experiments, parameters, metrics, and results, ensuring reproducibility and transparency. 🔹 Model Management: Facilitates easy versioning and sharing of models, promoting collaboration and scalability. 🔹 Deployment: Simplifies deploying models to production across various platforms, reducing time-to-market and operational overhead. 🔹 Scalability: Integrates seamlessly with popular tools and frameworks like TensorFlow, PyTorch, and Kubernetes, enabling robust, scalable workflows. 🔹 End-to-End Lifecycle Management: Provides a unified interface to manage everything from data preparation to model training, evaluation, and monitoring. By integrating MLflow into your MLOps pipeline, you're not just enhancing productivity but also ensuring that your ML projects are robust, reproducible, and scalable. 🌟 #MLOps #MachineLearning #MLflow #DataScience #AI #ModelDeployment #TechInnovation #AIManagement

Want to see what all the #GenAI #MLOps #LLMOps fuss is about? Join a live technical demonstration in 30 minutes (10am GMT, 9 Apr) of the Weights & Biases platform. https://lnkd.in/eU3g-gp7 Want to watch on-demand instead? Register to receive a link to the recording. More details 👇 - Learn how #MLOps platforms improve productivity and resource utilisation - See the latest developments from our platform to operationalise #ML at scale, from experimentation to production - Discover how leading ML teams across every industry are leveraging our platform for success

Customers are already seeing the value in the new Databricks Generative AI Engineer Associate certification, created to help companies and professionals master the skills needed to build and deploy GenAI applications. It’s the first of its kind, blending theory and practical use cases—no rote memorization, just real-world skills. Get certified now👇

🚀 Take Your Jupyter Experience to the Next Level with Red Hat OpenShift AI! Using Jupyter for your AI projects? Here’s how pairing it with Red Hat OpenShift AI can supercharge your workflow: 📊Scale Effortlessly: Whether it’s handling massive datasets or complex computations, OpenShift lets you scale resources seamlessly. Perfect for growing data needs! 💻Collaborate Intelligently: Sync and share your notebooks with ease. Teamwork made simple with integrated version control. ⚡️Deploy Faster: Move from prototype to production without the downtime. OpenShift’s automated pipelines make deployments a breeze. With OpenShift AI, your favorite tool becomes even more powerful. #Jupyter #OpenShiftAI #DataScience #MachineLearning