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12 Principles to Stop Your AI Project from Failing
Introduction: The Hidden Crisis in AI Projects Most companies dream of using AI to cut costs, boost profits, and outsmart competitors. Yet about 90% of AI projects fail catastrophically. Only 10% create real value. Why? Many organizations build AI systems like they assemble IKEA furniture without reading the manual. They skip verification, ignore risks, and…
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Meta, NVIDIA, and Microsoft: The AI and AR Tech Battle That Could Redefine Business
Introduction: Why This Tech Shift Matters Artificial intelligence and augmented reality are no longer futuristic buzzwords. They are real, fast-growing markets. Meta, NVIDIA, and Microsoft are at the center of this shift. Each company wants to dominate the next wave of technology. Meta is betting on smart glasses. NVIDIA fuels AI with its chips. Microsoft…
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Intel + Nvidia: The End of CPU-GPU Bottlenecks?
Introduction PC performance has hit a wall. For decades, the CPU and GPU have been two separate components. Data travels back and forth across the motherboard. This back-and-forth creates latency, wastes energy, and slows workloads. Intel is now building system-on-chips (SoCs) with Nvidia RTX GPU chiplets integrated directly with its x86 CPUs. In simple words,…