AI infrastructure

Articles tagged AI infrastructure on mistr.AI.

• Companies Cut Jobs Over AI, Then Turn Around and Hire New People — Tech companies are laying off workers en masse and pointing to artificial intelligence. On closer inspection, however, work is not disappearing — it is changing form. While big players are shifting resources to contractors and flexible arrangements, Czech companies like Etnetera show how AI agents are transforming internal processes. And Direct Group is planning to cut a third of its workforce. What does this mean for employees and employers?
• The Ignite AI Ambitions conference showed that the Czech Republic has talent and energy, but needs the courage to scale — The third edition of the Ignite AI Ambitions conference drew over 800 guests from business, government, academia, and the technology sector to Prague's Divadlo Hybernia. The flagship event of the Czech Artificial Intelligence Association raised the question of what role the Czech Republic wants to play in the global AI race — and whether it has the courage to truly fulfill that ambition. We were there.
• Without Reliable Storage, Your Investment in AI Is Worthless — GPUs cost millions — but what if they're idle most of the time? The problem isn't AI itself, but something far more mundane: data storage. Systems that only function 60% of the time due to outages and maintenance can turn your AI investment into an expensive frustration. A solution exists, and it's not as complicated as it might seem.
• Multi-Cloud and Artificial Intelligence Are Becoming an Inseparable Part of the Modern IT Budget — IT budgets are growing, but not fast enough. Between 2024 and 2025, the volume of global data will grow from 149 to 181 zettabytes, and two-thirds of British organizations expect rising cloud spending due to AI experiments and inflation. Moreover, the same number of companies admits they would have to cut back on staff or cybersecurity to afford it. There is, however, a solution that can help you stay competitive.
• Why 80% of Artificial Intelligence Projects Fail Due to Outdated Infrastructure — Eighty-eight percent of companies see artificial intelligence as a key priority for next year.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 We will show why outdated networks hold back even the best AI ideas and what to do about it.
• South Korea Invests Billions in Homegrown Artificial Intelligence — South Korea has allocated nearly $400 million for the development of its own large language models. Five selected companies have been tasked with creating AI that will compete with OpenAI or Google. The government does not plan to fund all of them for the same duration. Every six months, results will be evaluated and the most successful will move forward. In the end, only two winners will remain. What is behind this strategy and how are the local players approaching it?
• Google Showcases the Power of Its AI Products with Billion-Scale Reach — AI from Google is no longer just for the few — according to the latest data, its services and innovations now reach billions of people worldwide. What exactly does the growth in Google AI users bring, what new features are available, and what does it mean for businesses and everyday users?
• How to Set the Right IT Capacity for Corporate AI Without Overspending — Are you planning to expand AI in your company and unsure what IT capacity to choose? There is no need to go straight for maximum power. The right scaling strategy and infrastructure choice often determines the success of AI projects. This article offers a practical perspective on how to find the right balance and where companies most often go wrong.
• AI: Czech Republic vs. the World — Where Do We Stand and Where Does Europe Have the Edge? — At the end of March, the AI Zážeh event took place in Prague, featuring not only hard data on the state of Czech and European artificial intelligence, but also inspiring perspectives on the future. What are the real challenges, and why does Europe have a chance to hold its own in global AI competition?
• 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.
• AI Inequality and What the World Can Do About It — Artificial intelligence has the potential to transform up to 40% of jobs worldwide and become a market worth nearly $5 trillion. But it brings not only opportunities, but also the threat of deepening inequalities. What steps does the UN recommend to ensure AI serves everyone and not just a privileged few?
• Rushed AI Deployments and Skills Shortages Are Putting Businesses at Risk — Companies around the world face growing risks associated with the rapid deployment of artificial intelligence and a shortage of qualified specialists. Without the necessary infrastructure and realistic expectations, AI can become a threat rather than an opportunity. Find out why careful planning and thoughtful investment are key.