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Video by Linux Tex via YouTube

Get Theme Studio – Massive Introductory Discount
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Tired of a boring Ubuntu desktop? Theme Studio is a brand-new Ubuntu theming app that transforms your entire GNOME desktop — GTK themes, GNOME Shell themes, icon packs, accent colors, and 4K wallpapers — all in one click. In this video I show you exactly how to install Theme Studio, apply a complete "Look" in seconds, mix and match GTK themes and icon packs to build your own custom Ubuntu desktop, and safely reset back to stock Ubuntu (Yaru) whenever you want.

Whether you’re customizing GNOME on Ubuntu 24.04 LTS or Ubuntu 26.04 LTS, tired of hunting for Linux themes on GitHub and GNOME-Look, or just want the best Ubuntu theme app for a one-click desktop makeover, this is the easiest way to get a beautiful, coordinated Linux desktop without touching the terminal.

✅ What you’ll learn in this video:

– What Theme Studio is and how it works
– How to install Theme Studio on Ubuntu / GNOME
– How to apply a complete Look (GTK theme + Shell theme + icons + wallpaper) in one click
– How to mix and match GTK themes, icon packs, and Shell themes
– How to safely reset back to default Ubuntu theming

👍 If you enjoyed this Ubuntu theming tutorial, subscribe for more Linux desktop customization, GNOME tips, and Ubuntu guides.

#Ubuntu #GNOME #LinuxTheming #ThemeStudio #LinuxDesktop #UbuntuCustomization

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Video by The Linux Cast via YouTube

5 Linux Best Practices for Noobs and Vets alike.

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Video by Open Data Institute via YouTube

Harm assessment in impact assessments is notoriously difficult, often badly done, and long overdue for a rethink. In this Data Ethics Professional webinar, freelance privacy and data protection expert Rowenna Fielding launches the Data Hazards and Harms Toolkit — three years in the making, and built to replace guesswork with something you can actually use on Monday morning.

Most frameworks ask you to predict the unpredictable, then put a number on it. Rowenna’s argument is that data harms are foreseeable but genuinely unquantifiable, which is why the 5×5 matrix so often produces made-up numbers and false confidence. Instead, the toolkit borrows from health and safety: identify the hazardous materials, conditions and operations in your project, then layer safety measures around them — the way surgical teams prevent infection without hunting down individual microbes.

In conversation with Dr Kay Achenbach, Head of the Data Ethics Professional course at the ODI, Rowenna covers where data harms really come from (mostly not from bad intentions), how cognitive bias shapes assessment, and how the toolkit sits alongside the ODI’s Data Ethics Canvas and consequence scanning. The Q&A takes on live audience questions about sharing sensitive data with public LLMs, handling pushback from senior stakeholders, and whether anyone harmed by data ever gets meaningfully compensated.

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Video by OpenAI via YouTube

For many families living with a rare disease, the hardest part is not having a name for what is happening. Even with modern genetic testing, about half of people with rare diseases remain undiagnosed.

In this OpenAI Forum conversation, researchers from Boston Children’s Hospital’s Manton Center for Orphan Disease Research discuss how they used OpenAI o3 Deep Research to reanalyze difficult pediatric cases and surface new leads for expert review. The conversation explores how AI can help scientists move faster, give families a better chance at answers, and support advanced medical research, while keeping geneticists and clinicians at the center of diagnosis and care.

Join the OpenAI Forum to explore more conversations with experts working at the forefront of AI, science, and society: https://forum.openai.com/

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Video by NetApp Instaclustr via YouTube

Cassandra is now focusing on streamlining operations and scalability, but what are the exact CEPs underway?

Developer Advocate Mariah McLaughlin walks through the five accepted CEPs focused on improving operations.

Learn more by reading the blog breakdown: https://www.instaclustr.com/blog/whats-coming-in-cassandra-key-apache-cassandra-ceps-to-watch/

Time stamps:
00:00 – 00:21: Intro
00:22 – 01:28: CEP 38 – CQL Management API
01:29 – 02:32: CEP 45 – Mutation tracking
02:33 – 03:31: CEP 49 – Hardware accelerated compression
03:32 – 04:30: CEP 60 Flexible placements
04:31 – 05:29: CEP 62 Cassandra configuration via Sidecar
05:30 – 6:08: Conclusion

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Video by FINOS via YouTube

In this clip from OSFF London 2026, Dov Katz (Morgan Stanley) reframes how engineering leaders should evaluate developer productivity in the AI era. Rather than measuring raw output through merged pull requests, Dov demonstrates how enterprise security productivity is quantified by burning down CVEs across thousands of transitive software dependencies.

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LinkedIn: https://www.linkedin.com/company/finosfoundation

#Fintech #OpenSource #FINOS #DevSecOps #Cybersecurity

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Video by Open Data Science and AI Conference via YouTube

What does it mean to be a data scientist in the age of AI agents?

In this episode of the ODSC Ai X Podcast, Sheamus McGovern sits down with Eric Ma, Data Science Leader at Moderna, to explore how AI coding agents are changing the way data scientists work—and why human expertise matters more than ever.

Eric shares practical insights on agentic data science, coding agents, loop engineering, evaluation frameworks, fine-tuning, AI engineering, and why data scientists should focus on the science of measurement rather than trying to become full-stack software engineers.

00:00 Why Data Scientists Should Focus on Measurement
00:56 Introduction and ODSC AI West
02:10 Meet Eric Ma: From Bioengineering to Data Science
03:44 What Agentic Data Science Means in 2026
05:07 Delegating Analysis to Coding Agents
06:13 Why Data Scientists Still Need to Work by Hand
08:13 What Should Data Scientists Still Do Themselves?
10:14 Slowing Down and Verifying AI-Generated Analysis
12:51 How AI Coding Tools Free Up Cognitive Capacity
13:46 Using AI to Learn New Technical Domains
15:54 Does AI Widen the Gap Between Experts and Beginners?
18:10 The Most Important AI Skills for Data Scientists
20:12 Loop Engineering and Precise Agent Instructions
22:12 Thinking in Systems and Designing Feedback Loops
24:35 What Is an Agentic Harness?
25:01 Coding Agents, Marimo Notebooks, and Pair Programming
26:29 Building a Personal Knowledge Base with AI
29:31 When Should Teams Fine-Tune an LLM?
30:31 Cost, Privacy, and Security Considerations
32:19 Common Failure Modes in Agentic Data Science
34:03 Should Data Scientists Become Full-Stack Engineers?
35:17 Why Measurement Is the Core Data Science Skill
36:52 Data Scientists vs. AI Engineers
38:23 Essential Practices for Working with AI Agents
40:25 Will the Data Scientist Role Still Exist in 10 Years?
41:34 How Important Are Engineering Skills for Data Scientists?
42:09 Final Takeaways and Closing

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Video by SAP via YouTube

Discover how AAF moved from a two-system landscape to a three-system landscape with SAP Cloud ERP to support ERP harmonization, governance, and future growth.

Join host Yannick from SAP Product Success with Uwe Detroy from AAF, Hans Tscherwitschke from implementation partner XEPTUM, and Calin Cernea from SAP Product Management as they explore AAF’s real-world transformation journey. AAF, also known as American Air Filter and part of Daikin Group, needed to consolidate multiple standalone ERP systems, standardize processes across Europe, and create a scalable foundation for continued rollout and innovation.

In this Expert Talk, you’ll:
✔️ Learn why AAF chose SAP Cloud ERP to harmonize ERP processes across European entities
✔️ Understand the business challenges behind fragmented systems, manual alignment, and master data complexity
✔️ Hear why the two-system landscape became difficult for transport management, governance, and rollout planning
✔️ See how AAF, XEPTUM, and SAP approached the move to a three-system landscape
✔️ Explore how test data conversion helped support continuity in the new test environment
✔️ Learn how SAP Cloud ALM, transport management, and localization capabilities can support scalability
✔️ Hear how the new landscape helps AAF prepare for faster innovation, future rollouts, and AI capabilities with Joule

Whether you’re running SAP Cloud ERP, evaluating a 2SL to 3SL migration, or supporting a multi-entity ERP rollout, this Expert Talk shows how a modern system landscape can help organizations move from technical complexity to a more flexible, governed, and innovation-ready ERP foundation.

Explore SAP Cloud ERP:
https://www.sap.com/products/erp/s4hana.html

Chapters:
00:13 – Welcome and AAF transformation story
01:29 – Why AAF chose SAP Cloud ERP
03:23 – Standardizing processes across Europe
07:16 – Why the 2SL setup became challenging
10:52 – Moving from 2SL to 3SL
13:17 – The 3SL conversion journey with XEPTUM
20:19 – New capabilities, scalability, and AI readiness
25:28 – Key takeaways and closing

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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

#SAPCloudERP #SAPS4HANA #ERPTransformation

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Video by TWiT Tech Podcast Network via YouTube

On MacBreak Weekly, Mikah Sargent, Andy Ihnatko, and Jason Snell talk about Apple’s Q3 2026 earnings, why Apple’s stock took a slide following their earnings report, and why investors are worried about supply issues with Apple’s products in the future.

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