Is Agentic AI Ready to Transform Enterprise Operations?

Agentic artificial intelligence represents a major technological breakthrough that far exceeds traditional chatbots and copilots. The global market reaches $5.2 billion in 2024 with explosive growth of 43.8% annually, positioning agentic AI as the next enterprise revolution. Unlike current reactive AI tools, these autonomous systems plan, execute, and

Magic Apron: How Home Depot Generated +8-9% Digital Growth with Generative AI (Complete Framework)

Comment Home Depot a Généré +8-9% de Croissance Digitale avec un Simple Assistant IA (Framework Complet Inclus)

RAG in Action: 12 Real-World Use Cases Transforming Enterprise

How Retrieval-Augmented Generation (RAG) systems are concretely revolutionizing business processes across all sectors RAG (Retrieval-Augmented Generation) is no longer an emerging technology – it has become a strategic pillar for companies seeking to transform their mountains of document data into competitive advantage. Beyond marketing promises, RAG deployments now generate measurable results

NVMD Client Case Study: Media Group

Context & Challenge A leading streaming entertainment provider (26M+ subscribers) investing $1.3B annually in digital transformation faced critical technical challenges after 18 months of explosive growth: Infrastructure Pain Points • Complex hybrid cloud architecture: AWS primary + Nutanix critical workloads, managing 15,000+ servers • Unpredictable audience spikes: 70,000 connections/minute

Enterprise AI Data Infrastructure: The $3.1 Trillion Mistake

Enterprise data infrastructure mistakes represent the single largest barrier to successful AI implementation, costing U.S. businesses $3.1 trillion annually in poor data quality alone while contributing to an 87% failure rate for AI projects reaching production. Research from MIT, McKinsey, and industry leaders reveals that companies like IBM

NVMD Launches AI Squad: A Next-Generation Staffing Model for Artificial Intelligence

At NVMD, we observed a clear trend: companies buy AI tools but struggle to implement them effectively. Prototypes are often abandoned, integrations fail, and teams depend heavily on external vendors. The promise of AI too often remains theoretical. To address this, we are officially launching the NVMD AI Squad, a

95% of AI Projects Fail: Why Your Company is Burning Millions with Zero ROI

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

The 3 Costly Mistakes in "AI-Ready" AWS Infrastructure

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