Klient: Hewlett Packard Enterprise
Format: Lösungsübersicht
Größe: 3,15 MB
Sprache: Englisch
Datum: 12.02.2026
Agentic AI: Next-generation agentic AI for manufacturing
Manufacturers face a once-in-a-generation opportunity with agentic AI, which promises autonomous workflows, predictive operations, and unprecedented levels of productivity. Agentic AI uses LLMs, machine learning, and corporate automation to undertake sophisticated, multi-step operations.
AI agents are designed to perceive their surroundings, analyze information, and take action based on what they observe. Unlike traditional software, these agents can adapt and learn from their environment, continuously improving their performance over time.
Successfully scaling this technology beyond the pilot phase requires the right infrastructure foundation. Gartner research indicates that, by 2027, 60% of enterprise agentic AI projects are likely to succeed if those organizations invest in modern infrastructure specifically designed for AI at scale. This investment enables integrated data, automated workflows, and predictable costs, ultimately leading to significant advancements.
AI agents are designed to perceive their surroundings, analyze information, and take action based on what they observe. Unlike traditional software, these agents can adapt and learn from their environment, continuously improving their performance over time.
Successfully scaling this technology beyond the pilot phase requires the right infrastructure foundation. Gartner research indicates that, by 2027, 60% of enterprise agentic AI projects are likely to succeed if those organizations invest in modern infrastructure specifically designed for AI at scale. This investment enables integrated data, automated workflows, and predictable costs, ultimately leading to significant advancements.
