How Mead Johnson Nutrition Built a Trusted Foundation for AI with SAP Business Data Cloud

How Mead Johnson Nutrition Built a Trusted Foundation for AI with SAP Business Data Cloud

Video by SAP via YouTube
How Mead Johnson Nutrition Built a Trusted Foundation for AI with SAP Business Data Cloud

When trusted AI matters, trusted data comes first. See how Mead Johnson Nutrition is building its data foundation with SAP Business Data Cloud.

For Mead Johnson Nutrition, supporting the health and nutrition of families and infants means every decision must meet a higher standard. In a highly regulated industry, AI can’t be directionally right, occasionally wrong, or unclear in how it reaches a recommendation. It needs trusted business context, strong governance, and transparency by design.

In this customer story, Mead Johnson Nutrition shares how SAP Business Data Cloud helps bring SAP and non-SAP data together with metadata, definitions, lineage, and governance intact. By replacing fragmented, market-specific data pipelines with a unified data fabric and reusable SAP data products, teams can spend less time wrangling numbers and more time acting on reliable insights.

With a trusted foundation in place, Mead Johnson Nutrition is preparing for enterprise AI that is consistent, governed, and scalable across the business. The result: better decisions made faster and with confidence, supporting availability, responsiveness, reliability, and the standards families depend on.

Explore SAP Business Data Cloud: https://www.sap.com/products/data-cloud.html

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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

#SAP #BusinessAI #DataCloud

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I Answered Over 20 of Your Biggest Linux Questions

I Answered Over 20 of Your Biggest Linux Questions

Video by Michael Tunnell via YouTube
I Answered Over 20 of Your Biggest Linux Questions

Support the channel by becoming a patron at https://tuxdigital.com/membership or get some swag at https://store.tuxdigital.com/

I recently did a live Linux Q&A, and this video is the edited down version from 5 Hours to 28 minutes answering 21 questions from the community. We cover distros, desktop environments, software, troubleshooting, anti-cheat, tips, Linux’s future, and a bunch of other Linux topics along the way.

### SHOW NOTES ►► https://tuxdigital.com/videos/i-answered-your-biggest-linux-questions

### Links:
https://tuxdigital.com/community
https://tuxdigital.com/membership

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### Chapters:
00:00 Intro
00:20 What do you think is driving the current surge of interest in Linux?
01:54 Do you think the steam machine is going to make a difference for Linux gaming, specifically multiplayer?
02:59 What market share do we need to get companies to support "kernel level anti-cheat"?
04:18 Do you think the distribution of proprietary software would be good for Linux?
05:14 What are some questions to ask when people ask you for which distro they should use?
07:39 How is video editing in Linux these days?
09:15 What is your workflow as a designer? Do you dual-boot with Windows?
10:38 Do you ever use Windows at all?
11:35 What’s your stance on vibe coding stuff for personal use?
12:43 If you tinker too much and break your system, what should you do?
13:45 Why is there so much hate towards Ubuntu?
17:57 How much older are the packages in Debian compared to RHEL?
19:19 is it a myth that Linux speeds up beard growth?
19:39 Are there any distros you have a very negative experience with?
20:19 Is learning by doing on an "advanced" distro going to increase the speed of learning Linux in-depth?
21:21 Do you think there’s a market share that Linux could get where Microsoft releases MS Office for Linux?
22:11 How do you feel about ARM and the Linux ecosystem?
24:11 Do you think Linux userbase will continue to expand or will Microsoft improve and slow down departures?
25:54 What do you think about making a Matrix space?
26:33 What shows are in your TuxDigital Network? Are there plans to add any new shows?
27:10 If Linus Torvalds said "I’m retiring", would you be concerned?
27:40 Outro

———————————————————————————–

Thanks For Watching!

#Linux #OpenSource

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Whiskey Pick: Teeling Small Batch Whiskey

Whiskey Pick: Teeling Small Batch Whiskey

Video by TWiT Tech Podcast Network via YouTube
Whiskey Pick: Teeling Small Batch Whiskey

Every episode of TWiT’s Windows Weekly podcast ends in a brown liquor pick of the week. In this clip from episode 975, Richard Campbell teaches audiences the history of Dublin, the Church of England, Thomas Becket, the Golden Triangle, and Walter Teeling. While Scotland’s whisky business was based on farms, Ireland’s whiskey distribution was mostly urban. Teeling’s Small Batch is 46% ABV, triple distilled, and drinks nicely.
Teeling site: https://www.teelingwhiskey.com/
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#whiskey #whisky #irishhistory
About us:
TWiT.tv is a technology podcasting network located in the San Francisco Bay Area with the #1 ranked technology podcast This Week in Tech hosted by Leo Laporte. Every week we produce over 30 hours of content on a variety of programs including Tech News Weekly, MacBreak Weekly, Windows Weekly, Security Now, Intelligent Machines, and more.

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Open Source Digest: AI Avatars, R Tools, and Security Fixes

Open Source Digest: AI Avatars, R Tools, and Security Fixes

Coworking & Community Social Coworking: Join sessions on Vale and text linting (improve writing quality) and debugging in R (troubleshoot code). Perfect for collaborative learning. Rencontres R 2026: The R conference heads to Nantes, France. Save the date for community talks and workshops. New Tools & Updates TMNT: A Python toolbox for graph-theoretic analysis of … Read more

Open Source Weekly: AI Models, Security, and More

Open Source Weekly: AI Models, Security, and More

Top Stories Analysis This week’s open source news is dominated by AI advancements and security. Key highlights include new open AI models challenging proprietary ones, and a major security incident involving Microsoft’s tools. The trend is clear: open source is becoming the battleground for AI innovation, but vigilance is crucial as threats evolve. NVIDIA’s Nemotron … Read more

Open Source & AI Digest: Enterprise Shifts Ahead

Open Source & AI Digest: Enterprise Shifts Ahead

Open Source and AI at a Crossroads: Enterprise, Regulation, and Community This week’s digest underlines a pivotal moment for open source and AI. On the enterprise front, OpenAI’s ‘Intelligence at Work’ event signals a push toward unified AI experiences—combining ChatGPT with Codex, introducing agent plugins, and enabling rapid deployment from idea to site. Meanwhile, the … Read more

Intelligence At Work – Enterprise Readiness

Intelligence At Work - Enterprise Readiness

Video by OpenAI via YouTube
Intelligence At Work - Enterprise Readiness

At our Intelligence at Work CEO event we shared updates to our product roadmap. Companies that are leading in this next chapter are really leaning in with AI and reimagining industry.

Five Takeaways:

1️⃣ ChatGPT + Codex: one unified experience.

2️⃣ Agent Plugins: six role specific agents that do the work for you

3️⃣ Annotations: collab with the model in the tools you use everyday

4️⃣ Sites: go from idea to deployment in one shot

5️⃣ Robin Vince, CEO of BNY dropped knowledge:

“Are we going to be AI optimists or are we going to be AI pessimists? We choose optimism at BNY because it’s the ultimate capacity creator."

Check out the full livestream ➡️ https://openai.com/business/intelligence-at-work/

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Why AI Voice Conversations Still Feel Awkward

Why AI Voice Conversations Still Feel Awkward

Video by Rasa via YouTube
Why AI Voice Conversations Still Feel Awkward

Ever notice how some AI voice assistants feel unnatural?

It’s often not what they’re saying—it’s when they’re saying it.

Rebecca Evanhoe of Slang AI explains that natural conversation depends on timing, pacing, and smooth turn-taking. When an LLM takes too long to respond, the entire interaction starts to feel robotic.

That’s why voice AI teams obsess over latency, model size, and response timing—not just intelligence.

The future of voice AI isn’t just smarter responses. It’s more natural conversations.

#VoiceAI #ConversationalAI #LLM #ArtificialIntelligence #SlangAI

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