edge computing

Articles tagged edge computing 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• Why 80% of Artificial Intelligence Projects Fail Due to Outdated Infrastructure — Eighty-eight percent of companies see artificial intelligence as a key priority for next year.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 We will show why outdated networks hold back even the best AI ideas and what to do about it.
• How Latency Affects the Usability of AI in the Real World — Latency is an often overlooked but crucial parameter that determines how quickly and efficiently artificial intelligence will respond to your requests. In this article you'll learn why low latency is key in various areas, when it matters most, and how it can be optimized.
• Cloud and Artificial Intelligence Are Transforming the IT World and Skills Requirements — The IT world is going through a revolution: technology and business are becoming more intertwined than ever before, and the role of IT specialists is changing along with the skills required. What awaits companies and their teams in the era of cloud and artificial intelligence? Find the answers in our article.