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Nvidia Rtx Spark Super Chip Soll Windows Laptops Revolutionieren
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Nvidia RTX Spark: New Super-Chip Announced for Windows Laptops

What’s It About? Nvidia has unveiled a new processor called RTX Spark, designed specifically for Windows-based laptops and desktop systems. The chip combines a powerful Arm-based CPU with a Blackwell-generation GPU and is manufactured using an advanced 3-nanometer process at TSMC. With more than 70 billion transistors, the system is designed to reach petaflop-level computing […]

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When the Second Brain Talks Back

Obsidian as a Second Brain with OpenClaw or Claude A Message from the Train It’s 7:42 PM when Mark is waiting for his train at Mannheim Central Station. Two hours of workshop still sit heavy in his bones, his head still buzzing with slides and flip charts and right in that moment, somewhere between the

Automatisierung Im Mittelstand Diese 6 Prozesse Solltest Du Zuerst Angehen
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AI Automation in Mid-Sized Businesses: Six Processes to Start With

What’s It About? Artificial intelligence is increasingly changing how mid-sized companies operate. The technology delivers its full potential not through the use of isolated tools, but through systematic integration into existing business processes. Six areas are particularly well-suited for getting started with AI-powered automation: sales, invoicing, marketing, accounting, HR management, and customer service. Digitalizing these

Wie Deutsche Unternehmen Aws Wirklich Nutzen
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AWS in Practice in Germany: DeepL, Schufa, and DKB Demonstrate Cloud Strategies

What’s It About? At the AWS Summit in Hamburg, attended by around 8,800 visitors, three prominent German companies presented their approaches to cloud adoption. DeepL, Schufa, and Deutsche Kreditbank (DKB) showcased concrete use cases that illustrate how Amazon Web Services is being deployed in Germany — despite ongoing geopolitical debates about US-based cloud providers. The

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Why AI Projects Fail So Often in Mid-Sized Businesses

What’s It About? Mid-sized companies in German-speaking countries are struggling with high failure rates when implementing AI systems. The problem usually lies not in the technology itself, but in organizational deficits. Missing guidelines, unclear responsibilities, and insufficient involvement of key stakeholders regularly lead to costly missteps. Experts recommend a structured, step-by-step approach that brings all

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