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Common Question: Why isn't my AI project generating any return on investment? Short Answer: A MIT study reveals that 95% of enterprise AI projects generate zero return on investment, despite $30-40 billion in spending. The main reason? Companies multiply internal pilots without ever scaling, while those who buy
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How to avoid the most common pitfalls that can skyrocket your cloud costs and slow down your AI projects Introduction Preparing AWS infrastructure for artificial intelligence has become a strategic imperative for many enterprises. However, our field audits reveal that 85% of "AI-ready" cloud architectures have critical flaws
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Published by NVMD | August 2025 | Strategic Partnership Announcement Executive Summary Partnership Announcement: NVMD has formed a strategic partnership with SingleStore, the world's fastest distributed SQL database for real-time AI applications, to deliver unprecedented performance in enterprise AI implementations. The Challenge: Enterprise AI systems require instant data access and
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Published by NVMD | July 29, 2025 | Featured in Le Dauphiné Libéré Media Recognition: NVMD's AI Transformation Approach Gains National Attention We're excited to share that NVMD has been featured in Le Dauphiné Libéré, one of France's leading regional newspapers, highlighting our rapid growth and
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Published by NVMD | August 2025 | Based on analysis of enterprise AI agent implementations and industry research Executive Summary The AI Agent Opportunity: AI agents represent the next frontier in enterprise automation, with the potential to generate $450 billion in economic value by 2028 according to industry research. Current State: 37%
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Published by NVMD | August 2025 | Based on evaluation of 100+ AI project proposals Executive Summary Key Problem: Enterprise leaders receive an average of 10 "revolutionary AI" pitches per week, but lack systematic frameworks to evaluate which projects will deliver real value. Solution: NVMD's 6-step AI Project
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Published by NVMD | August 2025 | Based on analysis of 50+ enterprise AI projects Executive Summary Key Finding: 70% of enterprise AI projects fail before reaching production, with architecture decisions being the primary cause of failure. Data Source: Analysis of 50+ enterprise AI implementations conducted by NVMD between 2023-2025. Success Rate