Outerbounds

ICYMI: Our CEO, Joshua Patterson, joined forces with Hugo Bowne-Anderson and Outerbounds for an enlightening discussion on the frontiers of data processing. Here are some highlights: 💡 Challenging Questions Answered: He tackled some of the toughest queries, illustrating our dedication to transparency. 💡 Impact of AI on Data Generation: AI's role in dramatically increasing data volumes and its effects on performance and energy consumption. 💡 Innovative Measurement: Introducing "Joules/unit of compute" as a benchmark for success, prioritizing energy efficiency over speed. 💡 Efficiency Equals Performance: Insights from real-time financial data processing show that efficiency boosts performance. 🎥 Catch up with the full recording of “Accelerating AI and Analytics: The Future of Data Processing” for an in-depth discussion on reshaping data strategies with AI and efficiency: https://lnkd.in/epaRqxT8 #AI #DataAnalytics #Sustainability #MachineLearning #OpenSource

💫 Still thinking about the great convo I had with Joshua Patterson (CEO, Voltron Data) for Outerbounds last week. Here's a clip about the next big frontiers in data processing: ✅ AI accelerating data growth and interactions ✅ Systems asking smarter questions, faster ✅ 50-70x faster processing with lower energy use ✅ Rethinking data centers for sustainability Link to full chat in comment! 🍿

We're excited to announce our newest partnership with Codemate and Outerbounds! The Codemate team is one of the earliest contributors to the Metaflow project, and together with Outerbounds, we've partnered to offer a complete professional services option for organizations looking to implement Outerbounds but need the MLOps expertise. This partnership with Codemate allows teams to enjoy the full value of a bespoke Outerbounds implementation. Read Ville's blog about it here: https://lnkd.in/gz7vThb9

🐍 Attention Python devs who have wrestled with dependency management! 🚨 Wolf Vollprecht, the creator of Mamba 🔥, is back with Pixi 📦✨, the package manager that will make you forget your package management woes. 😌 In this live demo (full Outerbounds fireside chat in comment), Wolf showcases Pixi's incredible features: 🌿 Effortlessly install packages globally with a single command 🎨 Enjoy a colorful and user-friendly experience when viewing Pixi toml files with bat 📝 Define and manage dependencies, tasks, and metadata with ease using Pixi TOML ⚡ Resolve multiple environments in parallel, saving you precious time 🔧 Seamlessly handle development and production environments using solve groups 🗣️ Harness the power of AI with Whisper CPP integration, including live transcription and multi-language support But the real magic happens when Wolf removes the Pixi lock file and runs pixi run start. 🪄 Over 10 environments are resolved in parallel, showcasing Pixi's incredible speed. 🚀 No more waiting for ages! 🕑 Wolf also dives into the upcoming Rattler Build, which will simplify building conda packages, making it more accessible for everyone. 🛠️🎉 Ready to bid farewell to your package management headaches? Give Pixi a try! 🌠 👉 Visit pixi.sh to download Pixi and explore the documentation 👩💻👨💻 Join the Pixi community on Discord to learn, collaborate, and get support #PixiPackageManager #PackageManagement #DataScience #MachineLearning #AI #Python #DeveloperProductivity

🎙 I had the pleasure of sitting down with Thierry Wendling, Head of AI and Machine Learning at Atomi, for a great chat (full convo in comment). Here are some key takeaways: ✅ Atomi leverages AI and data science to enhance their online learning platform, providing curriculum, content, and analytics to high school students and teachers in Australia and other markets like the UK and Canada. 📊 Data science and AI play crucial roles in content creation and platform management at Atomi, with a focus on high-quality, reliable systems to support students preparing for exams. 🌟 Outerbounds and Metaflow have been game-changers for Atomi's data science team, offering user-friendly interfaces, easy local experimentation, seamless scaling to the cloud, and efficient dependency management. 💡 Thierry emphasizes the importance of empowering data scientists with practical tools and automation, enabling them to develop, test, deploy, and monitor ML models efficiently while adhering to best practices and company standards. 🔮 Exciting future applications include AI-generated video content, which could revolutionize the creation of educational materials, but will require careful data science to ensure high-quality and reliable results. Check out the full convo in a comment to dive deeper into how Atomi is pushing the boundaries of AI and data science in online learning! 🎥

Excellent insights shared by Siegfried Gessulat, co-founder and Head Of ML at MSAID, during the last Metalfow office-hours session. The discussion centered around the importance of data-harmonization for standardizing ML and comparing results. The session also shed light on how Metaflow was used to achieve this at scale using the Outerbounds platform. Check out the video here: https://lnkd.in/gX8ymcSV #AI #MachineLearning #metaflow #Outerbounds

❤️ The concept of #Flow just gave a 100x boost to my love for Data Science I was obsessed with finding efficient, all-in-one tools, that help founding teams stay focused on the problem Outerbounds caught my attention no doubt! 🛠️ Making Things Easier One big plus is how #Metaflow handles the tough stuff—I no longer have to worry about complicated computer setups. This lets me focus on my work without the stress. 🤝 Great Support from Leaders Right from the start, Outerbounds was super kind. After just one call, I was talking to Ville Tuulos the CEO. He gave me great advice and was super encouraging. 📈 What’s Next I’m updating my work using #Metaflow and planning to use Outerbounds for my clients. Thanks to the team, especially Hugo Bowne-Anderson and Eddie Mattia, for all their help. 🙌 Big Thanks I’m looking forward to doing more with these tools. Thanks to Ville Tuulos for the amazing book “Modern Data Science Infrastructure” and for helping us in the field. Credit image: Modern Data Science Infrastructure

Introducing a workflow orchestrator (Metaflow) 9 months ago has been such a great investment in flexibility and fast iteration time, especially for preparing datasets for model training. Everybody on the team uses it regularly now. Big kudos to the Outerbounds-guys maintaining it 🙌

💫 Let's get in the trenches again to see what building ML & AI platforms and systems actually looks like! This edition we've got a Climate Tech special with Adam Merberg, an ML Engineer at Equilibrium Energy, where they're on a climate-driven mission to electrify everything and utilize ML/AI for much of their work, including * Grid-scale battery operation, * “Virtuals” trading, and * Participation in energy and power markets. We also have Bennett Hiles, a software engineer at Perennial Earth, sharing insights into the development of their soil-based carbon removal verification platform. Check them out below! ☀

🐍 I'm having so much fun in Europe our next Outerbounds Fireside chat will be a Berlin special with the one, the only.... Wolf Vollprecht (creator, Mamba, CEO, prefix.dev). We'll talk about * package management and software supply chain challenges for data scientists and machine learning engineers, * the magic of making it all "just work" for developers across stacks and platforms, * the future of package management and accessibility for GenAI and foundation models, and much more! Sign up for free below 💫 https://lu.ma/saving-conda