Video by NetApp Instaclustr via YouTube
The new Constraints Framework gives more control and predictability around clusters.
Cassandra 6 Features: The Constraints Framework #shorts #cassandra
Videos
Category Added in a WPeMatico Campaign
Better Together in Open Source
Video by CNCF [Cloud Native Computing Foundation] via YouTube
Bailey Hayes, CTO at Cosmonic, shares why contributing to CNCF projects gives her the confidence to build.
Reactive notebooks for modern data work, Shahmir Varqha, #FOSSASIA Summit 2026 #databases
Video by FOSSASIA via YouTube
Jupyter notebooks are great for data exploration, but they’re often abandoned when it’s time to move to production. What if the same notebook could power data apps, dashboards, and reusable workflows?
This talk introduces **marimo**, an open source reactive Python notebook designed for interactive analytics and production-ready workflows. Learn how reactive notebooks enable dynamic visualizations, parameter-driven analysis, and executable scripts without the limitations of traditional notebooks.
Through practical examples with DuckDB, we’ll demonstrate how to build data applications, create bidirectional visualizations, and bridge the gap between data exploration and production deployment.
FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org
Session slide: https://eventyay.com/ev/88882f3e/talk/ZDBE90BFS0ED/
#FOSSASIA #FOSSASIASummit #opensource #FOSS #database
GNNs FAIL: See QUEN Model’s Candidate Detection Blunders!
Video by Open Data Science and AI Conference via YouTube
This video demonstrates the impact of Graph Neural Networks (GNNs) on embedding quality and candidate ranking.
Want to learn more about AI in person? Check out ODSC AI West 2026, coming to Burlingame this October 27th-29th: https://hubs.li/Q04cYsmk0
#DataScience #AI #ArtificialIntelligence #odscai
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Linux After Dark – Episode 123
Video by The Late Night Linux Family via YouTube
Support us on Patreon and get an ad-free RSS feed with some early episodes. https://www.patreon.com/LateNightLinux
We revisit the topic of the dire situation with hardware prices, this time with a focus on getting the most out of machines with limited resources.
https://linuxafterdark.net/linux-after-dark-episode-123/
Joule Agents and Joule Assistants Know Your Business
Video by SAP via YouTube
AI doesn’t just answer questions anymore. Joule Agents execute.
SAP Joule Agents handle multi-step business tasks across finance, HR, supply chain, procurement, and more – so your team stays focused on the decisions that actually need them.
Learn more: https://sap.to/6057B8Si6F
#JouleAgents #AI #AIAgents
A Concerning Leak Occurs on the International Space Station
Video by TWiT Tech Podcast Network via YouTube
On This Week in Space, Rod Pyle & Tariq Malik are joined by legendary flight director Gerry Griffin to talk about the air leak that occurred in the International Space Station.
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Codex is your BFF when things are everything, everywhere, all at once 💫
Video by OpenAI via YouTube
Zapier is a remote first company, so their team is working across multiple tools like Slack, Google Docs and Coda. For Ryan Fitzgerald, Codex is the one piece that pulls it all together.
➡️ https://lnkd.in/dnxrM282
Optimizing ML Models for Business ROI with H2O Driverless AI | Part 25
Video by H2O.ai via YouTube
How H2O.ai aligns ML model development with business outcomes using custom scorers, ROI documentation, and enterprise tool integration.
AI projects only succeed when they deliver measurable business value. H2O.ai organizes technical work around strategic goals using structured workspaces and business metadata tagging. Custom scoring functions in Driverless AI allow teams to optimize models directly for profit functions—such as customer retention probability or intervention costs—rather than generic statistical metrics. The H2O Super Agent can autonomously draft ROI analyses, while API integrations with tools like Jira and ServiceNow synchronize the model lifecycle with existing enterprise workflows.
Technical Capabilities & Resources
➤ Goal-Oriented Workspaces: Organize AI projects around business strategy and expected outcomes using collaborative workspace descriptions.
🔗 https://docs.h2o.ai/haic-documentation/guide/general/create-manage-workspaces
➤ Custom Business Value Scoring: Optimize Driverless AI models directly for revenue or cost-based profit functions using custom scorers.
🔗 https://github.com/h2oai/driverlessai-recipes/blob/master/scorers/classification/binary/profit.py
➤ Automated Business Documentation: Use AutoDoc and the H2O Super Agent to generate business cases and ROI analyses from model performance data.
🔗 https://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/autodoc.html
➤ Enterprise Tool Integration: Synchronize model lifecycle events with Jira, ServiceNow, or Azure DevOps via the Python API.
🔗 https://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/python_client.html
Why Do Coding Agents Need Tracing? | MLflow 3.12
Video by MLflow via YouTube
Coding agents need tracing because chat logs and file diffs do not show every tool call, token cost, or sub-agent step. MLflow 3.12 traces Claude Code, Codex, Gemini CLI, OpenCode, Qwen Code, and OpenHands so you can see what the agent actually did.
From the MLflow 3.12 deep dive with Yuki Watanabe (Databricks).
Full webinar: https://www.youtube.com/watch?v=A1aNFvApZv8
Docs: https://mlflow.org/docs/latest/genai/tracing/
#MLflow #CodingAgents #AIObservability #GenAI #LLMOps