Awadelrahman Ahmed’s Post

A fantastic journey for the team at #MLOps and #GenAI World! Two very inspiring days diving into different approaches for AI and machine learning. Here are some highlights and, as you're reading this, we're already working on how to incorproate everything we learned. See you next time, Austin! #AIInnovation #IndustryInsights

You know it! A final wrap up with some exciting highlights from the MLOps and GenAI World in Austin. Grateful for the chance to exchange insights and leave inspired by all the progress we’re seeing across fields. Already looking forward to what’s next! #mlops #genai #mlopsandgenai #machinelearning

Discover how AIOps is transforming observability for TechOps teams in our blog post! 🚀 #AIOps #Observability #TechOps

What's your most memorable Kubernetes moment from the past decade? Check out these videos and recent photos from the Kubernetes' 10th birthday celebration with the community! A huge thank you to the Kubernetes community for transforming application management with seamless deployment and scaling. Here's to many more years of progress and success! We'd love to hear your most memorable Kubernetes moment from the past decade. Share your stories in the comments below! (Thank you to the organisers by K8SUG - the Most Active K8s + AI Meetup!) #KodeKloud #KuberTENes #celebr8k8s #kubernetes

The future is here with GenAI and a quick bitesize course on GenAI from Databricks comes in handy for people like me to get up to speed on such technologies #GenAI #continuouslearning #futureskills

Prepping for a presentation/demo next week with a YOLO object recognition and boxing for quantification. Yolo is pretty pedestrian these days with all of the focus on Gen AI, but still a very important benefit of building out your ML/Ops and DevOps integrated pipelines. You can run Predictive and Generative AI side by side to maximize your ROI and leverage the DevOps capabilities of OpenShift to deliver apps back to the business. #redhat #openshift #openshiftai

Check out Anastasia Archangelskaya and my latest talk now available on YouTube! 🚀 👉 https://lnkd.in/eDV5hbyM Here's what you'll gain from tuning in: 🔍 Get familiar with the #AIOps maturity curve 👉 How to efficiently transition from reactive monitoring to zero-touch operations? 💡 Get a comprehensive overview of next-gen AIOps and Observability use cases addressing the latest challenges and trends on the market 🏗️ Uncover best practices when architecting AIOps solutions 🔒 Explore vulnerability assessment techniques for containerized applications with #eBPF 📋 Follow a step-by-step guide on how Site Reliability Engineers leverage #GenAI for enhanced end-to-end #Observability insights 👉 See it in action with a custom demo featuring an end-to-end deployment with a #DevSecOps Mission Control implemented with #GitLab and #Dynatrace Also big thanks to Mark Pawlikowski and the Conf42 team! #Accenture #Conf42 #SRE #AIOps

The #MLOpsZoomcamp seems even more exciting than I expected. I don't know how I lived without MLflow. It has revolutionized my workflow in several ways: 1. Experiment Tracking: Logging and comparing all model runs with ease. 2. Reproducibility: Ensuring experiments can be exactly reproduced. Model Registry: Managing the entire lifecycle of models from training to production. 3. Deployment: Simplifying model deployment across different environments. 4. Interoperability: Supporting various ML libraries and tools seamlessly. MLflow has made my machine learning processes more efficient, reproducible, and scalable, making it an indispensable tool in my MLOps toolkit. Thank you #DataTalksClub for such a useful course!

Scaling #MLOps efficiently can be a game-changer for any #ML project. Join Hauke Brammer at #MLcon Berlin 2024 as he shares practical lessons learned from deploying and managing machine learning operations at scale using #ArgoWorkflows. Gain insights into how this Kubernetes-native workflow engine streamlines and automates complex ML pipelines to enhance efficiency and scalability. ➡️ https://ow.ly/y4fA50TqJKa

Tip: this one can be tricky if you don't go into the specifics of each feature. Don't miss the AIOPs Knowledge Series before taking it!. #pagerdutycertified