IT infrastructure for AI
Articles tagged IT infrastructure for AI on mistr.AI.
- Why 80% of Artificial Intelligence Projects Fail Due to Outdated Infrastructure — Eighty-eight percent of companies see artificial intelligence as a key priority for next year. But here lies one fundamental problem: half of them admit their IT infrastructure is not ready for it at all. We will show why outdated networks hold back even the best AI ideas and what to do about it.
- Industrial AI: Practical Steps for Maximum Value and Minimum Risk — Artificial intelligence promises industry higher efficiency, lower costs, and new possibilities for predictive maintenance. But how do you ensure that the benefits of AI are not outweighed by risks such as unclear decision-making, biased data, or poor integration into business processes? Discover how successful companies approach it.