HM Godoy

Video by OpenSourceLowTech via YouTube

Tutorial: https://opensourcelowtech.org/water_turbine.html
This free and open source turbine can be built for half the cost of a 120 watt solar panel, and will produce about ten times the power (5kWh with 3m drop and 35 l/s flow) per day. It can be plugged into any appropriate waterway without the need for earthworks, and uses only basic off the shelf and recycled materials, and simple hand tools.

https://www.patreon.com/OpenSourceLowTech

♫ Where The Waves Take Us by Purrple Cat – https://soundcloud.com/purrplecat

#turbine #DIY #hydro #renewable #energy #opensource

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Video by OpenAI via YouTube

Ask ChatGPT to analyze, update, and explain your spreadsheets directly in Excel and Google Sheets.

These add-ins are now available globally across all plans. Powered by GPT-5.5, ChatGPT helps you update models, analyze data, audit outputs, and turn messy business context into decisions faster.

Now available globally for all plans.

Get started: https://chatgpt.com/apps/spreadsheets/

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Video by H2O.ai via YouTube

How H2O.ai orchestrates enterprise AI workloads on Kubernetes with managed resource profiles and cost guardrails.

As AI programs scale, managing compute resources across teams and use cases becomes operationally critical. H2O.ai runs all workloads—Driverless AI experiments, Feature Store operations, MLOps deployments, and h2oGPTe agent executions—as managed Kubernetes workloads. Administrators define specialized resource profiles allocating the right CPU, GPU, and memory per task. Cost guardrails enforce idle timeouts, maximum run durations, and dynamic cluster autoscaling, keeping infrastructure spend under control without requiring Kubernetes expertise from data scientists.

Technical Capabilities & Resources

➤ Workload Orchestration & Resource Profiles: Schedule ML workloads using admin-managed profiles that allocate CPU, GPU, and memory automatically.
🔗 https://docs.h2o.ai/ai-engine-manager/user-guide/dai-engine/create-dai-engine/#step-4-configure-resources

➤ Cost Optimization & Infrastructure Guardrails: Control compute costs with resource constraints, idle timeouts, and dynamic cluster autoscaling.
🔗 https://docs.h2o.ai/mlops/model-deployments/create-a-deployment#advanced-settings

➤ H2O Engine Management: View and manage engine configuration and last-used resource profile information.
🔗 https://docs.h2o.ai/ai-engine-manager/user-guide/h2o-engine/manage-h2o-engine/

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Video by MLflow via YouTube

We continue making immense improvements for overall AI observability, AIOps, AI Governance, and developer experience, building and extending on previous MLflow releases of 3.9, 3.10 and 3.11. Want to know what’s coming in MLflow 3.12? You don’t want to miss this as we deep dive into all of the awesome features, including:

🔹 ​Coding agent tracing + OpenClaw
🔹 ​Multimodal Attachment Support in Traces
🔹 Guardrails in AI Gateway
🔹 Testing & Refining Claude Skills​

📅 May 6, 2026
🕒 4:00 PM PT

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Video by FOSSASIA via YouTube

Running ArgoCD at scale across multiple clusters and hundreds of applications introduces challenges beyond simple demos. This talk shares real-world strategies for scaling ArgoCD using ApplicationSet, GitHub PR workflows, and cluster generators.

Learn how to design multi-tenant GitOps architectures, structure repositories, manage secrets securely, and prevent sync storms that impact performance. We’ll also cover tuning ArgoCD for speed, reliability, and safe deployments at scale.

Perfect for DevOps engineers and platform teams looking to run GitOps with ArgoCD efficiently in large, production environments.

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 slides: https://eventyay.com/e/88882f3e/session/10254

#FOSSASIA #FOSSASIASummit #opensource #FOSS

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Video by CNCF [Cloud Native Computing Foundation] via YouTube

Don’t miss out! Join us at our next KubeCon + CloudNativeCon events in Mumbai, India (18-19 June, 2026), Yokohama, Japan (29-30 July, 2026), and Shanghai, China (8-9 September, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at https://kubecon.io

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Video by FINOS via YouTube

Mia Gougisha (Open Innovation Lead at DTCC) explores how industry-led hackathons are moving beyond mere experimentation to create sustained open-source impact. She showcases winning AI solutions from the Innovate DTCC event and their path to maturity through the FINOS ecosystem.

🇬🇧 Join us in London! Catch the latest on Open Innovation at OSFF London on June 25, 2026: https://hubs.ly/Q041YV9Z0 (Use Code: 26YTOSFFLN20C)

🕒 Timestamps:
0:00 Welcome and Role at DTCC
0:45 Why Open Hackathons Matter for Impact
1:15 Designing a Hackathon for Scale
2:15 Industry Participation and Diverse Perspectives
3:30 Evaluation: Balancing Innovation with Trust
4:00 Bronze Winner: Calm Guard (Operational Resilience)
4:45 Silver Winner: Nova Mind (Post-Trade Automation)
5:55 Gold Winner: Needle (Cyber Risk Intelligence)
7:15 Bonus Track: Audit AI (Proactive Risk Planning)
8:15 Closing: Scaling Trusted AI Across Finance

📊 The Problem: The "Hackathon to Nowhere" Trap Traditional corporate hackathons are often one-time events where great ideas die after the competition ends. In the financial industry, building AI in silos prevents these tools from reaching the scale, maturity, and regulatory trust required for real-world adoption in production environments.

🏗️ The Solution: The FINOS Sustained Collaboration Engine
Mia Gougisha demonstrates a new model where hackathons serve as the "ideation pipeline" for the broader industry:
* Open-First Design: Every solution developed during the Innovate DTCC event is open source from day one, ensuring a foundation that extends beyond the event.
* Architecture as Code (Calm Guard): Transitioning hackathon winners into core FINOS repositories to automate compliance and reduce friction in DevSecOps.
* Multi-Agent Pipelines (Nova Mind): Automating post-trade exception handling through an auditable AI model that keeps humans in the loop only for high-ambiguity cases.
⚙️ Why This Matters for Financial Engineering
* Cross-Organizational "Super Teams": Bringing together contributors from multiple firms (e.g., Snowflake and DTCC) to unify fragmented security and risk data.
* Governance-First Innovation: Evaluating solutions based on their scalability and industry relevance ensures they meet the "safety and soundness" requirements of regulated finance.

The takeaway: Innovation does not stop at the finish line. Mia Gougisha proves that by aligning hackathons with the FINOS ecosystem, the industry can turn experimental prototypes into shared, production-grade assets.

🌐 More about FINOS: https://www.finos.org/
📧 Join our newsletter: https://www.finos.org/sign-up
🎙️ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcasts
LinkedIn: https://www.linkedin.com/company/finosfoundation

#FINOS #OSFFToronto #DTCC #OpenInnovation #AIHackathon #OpenSource #FinTech #CyberSecurity #AuditAI

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Video by Open Data Science and AI Conference via YouTube

In this episode, we discuss the agentic harness behind modern AI systems, which entails the retrieval, memory, tools, orchestration, and execution environment that determine whether an AI agent can work reliably in practice.

Visit our website and choose the nearest ODSC event to attend and experience all our training and workshops: https://odsc.ai

To watch more videos like this, visit https://aiplus.training

Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/

Follow us online!
• Facebook: https://www.facebook.com/OPENDATASCI
• Instagram: https://www.instagram.com/odsc/
• Blog: https://opendatascience.com/
• LinkedIn: https://www.linkedin.com/company/open-data-science/
• X (twitter): https://x.com/_odsc

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Video by SAP via YouTube

In this episode of SAP Design Talks, Rachel Rosenson, Head of Design at Zalando, shares how she defines good design as solving meaningful problems, powered by curiosity, intention, and craft. From improving everyday experiences to refining how teams work, Rachel explains why great design is not about “cool and flashy” moments. It is about creating outcomes that genuinely help customers and earn their trust.

Rachel also unpacks what it takes to design responsibly as AI reshapes products and services. She draws a clear line between excitement and meaningful impact, and why teams need to keep returning to fundamentals: customer behavior, business impact, and whether an experience truly “moves the needle.” When designing with AI, she emphasizes safe and responsible approaches, and the importance of making new experiences intuitive, transparent, and trustworthy, so customers understand what is happening and feel confident using it.

Finally, Rachel highlights a powerful truth about the design community: most teams are still figuring it out. Sharing how we organize, collaborate, and experiment helps everyone learn faster, without the pressure of pretending we have already solved it all. If you work in design, product, or technology, this conversation is a practical reminder to stay grounded in customer value while building what is next.

Learn more and explore the full SAP Design Talks series. 👉 https://www.sap.com/sapdesigntalks

Follow us on social:
LinkedIn: https://www.linkedin.com/company/sap/
Instagram: https://www.instagram.com/sap
Facebook: https://www.facebook.com/SAP/
Threads: https://www.threads.com/@sap

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://www.sap.com/index.html

#SAPDesignTalks #ResponsibleAI #ProductDesign

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Video by TWiT Tech Podcast Network via YouTube

Apple hit $111 billion in a non-holiday quarter, crushing previous records. The iPhone 17 series saw its best debut ever, driving incredible revenue growth. This company is a $100 billion/quarter machine. #Apple #Tech #Business #iPhone #Earnings

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