AI strategy

Articles tagged AI strategy on mistr.AI.

• Swap the question of AI's return for the question of what waiting costs you — For decades financial decisions rested on certainty. Proof first, then action. With the arrival of AI that stops holding, according to IBM. Waiting until the numbers are clear is now more of a risk, because competitors who did not hesitate gain a head start in the meantime. So it is time to swap the question of what the return is for the question of what waiting costs us. I sum up what follows from it for smaller Czech companies too.
• The era of spending on AI at any cost is ending, and customers are leaving OpenAI and Anthropic — For two years the rule was simple. Run everything through the most powerful model and do not worry about the price. Now that is breaking. According to CNBC, companies are starting to rein in their AI bills, looking for efficiency, and some customers are leaving OpenAI and Anthropic for cheaper models. For both companies, which are heading for the stock market, it may be the end of their fastest growth. And for your company, a clear lesson in how to approach AI.
• Clarivate AI50 reveals who is really driving AI innovation in the world — Analytics firm Clarivate has published its new AI50 ranking, which uses patent data to identify 52 organizations with the strongest AI inventions in the world. Unlike conventional rankings, it is not concerned with revenue or company size, but with measurable quality and global innovation intent. The result? Four distinct models of AI leadership and a surprising finding about where real value concentrates.
• 9 Proven Frameworks That Will Help You Write Better Prompts for Artificial Intelligence — Most people write prompts blindly — they write a sentence, hope for the best, and wonder when the AI responds off-target. Yet it only takes a simple framework to give your prompt a clear structure. In this article, we'll go through 9 specific prompt frameworks with practical examples, and at the end we'll add one bonus that will help you think about AI from a completely different angle.
• At Accenture, Results Are No Longer Enough — Managers Who Don't Work with AI Won't Get to Leadership Positions — Consulting giant Accenture has added a new condition to its promotion criteria — regular use of internal AI tools. The company has started tracking individual logins to AI systems for senior managers and is including this data in this year's career advancement decisions. This is one of the first cases where a major corporation explicitly links career growth to artificial intelligence adoption.
• Artificial Intelligence Is Not Replacing People, But Small Businesses Are Not Benefiting from It at All Yet — Tech giants are investing an astronomical $660 billion in artificial intelligence this year. European studies show that AI does increase employee productivity by an average of 4%, but it's no revolution. The key finding is that AI is not replacing workers but enhancing their performance. The problem is that the benefits are concentrated primarily at large companies. Small businesses remain on the sidelines for now and the gap is widening.
• Most Financial Institutions Are Tackling AI Ethics While Neglecting Fraud Prevention — Artificial intelligence has long ceased to be just a trendy marketing label — today it actually works in banks and insurance companies. Yet it turns out that only a small fraction of institutions have a truly bulletproof plan for using it fully and safely. While automation of routine tasks runs at full speed, the technology is surprisingly lagging in the fight against fraud. Let's look at what's holding bankers back and why they prefer developing tools themselves behind closed doors.
• How Companies Are Using AI Agents and Why Does ChatGPT Have Such a Dominant Position in Europe? — Artificial intelligence has entered companies in the form of AI agents that function as digital colleagues capable of solving tasks independently. At the same time, a battle for the European market has erupted, where ChatGPT controls nearly 85 percent. France's Le Chat wants to be the European alternative, but the path to success is not easy. What must companies do to get the most out of AI agents? And who will European organizations ultimately trust?
• The gap between companies in AI is growing and ninety percent of success is mindset — Czech companies have dramatically split into two camps when it comes to artificial intelligence. While leaders are achieving breakthrough results and creating prototypes in two days instead of eight weeks, most businesses still have no strategy. The gap widens every day and it is determined primarily by attitude, not technology. Because ninety percent of success is mindset.
• GoodRequest on How to Find the Right Place for AI in Business — Artificial intelligence does not have to be just another tool used blindly in a company. For AI to bring real meaning and value, it is necessary to first clearly define what problem the company wants to solve. We present an approach that emphasizes analyzing business challenges before choosing technology, which helps companies save time, cut costs, and improve efficiency.
• 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?
• Five Key Strategies That Separate AI Leaders from Companies Stuck in Pilot Mode — Artificial intelligence promises a revolution in business, but most companies are still spinning their wheels on pilot projects without real impact. What do those who manage to scale AI and deliver real value actually do? Discover five key strategies that separate the successful from the rest.
• Why Simply Adopting AI Is Not Enough for True Productivity Transformation in a Company — AI is now used by more than half of employees and companies expect miraculous productivity gains. But reality shows that without a thoughtful strategy and change in business processes, AI's potential often goes unused. So how do you get the most out of AI and push productivity to a new level?
• AI Is Transforming Companies' Marketing Workflows and Strategies — AI in marketing is no longer just a technological novelty – it's becoming a regular part of every marketer's daily work. The speed at which content can now be created is changing the rules of the game, and anyone who underestimates this trend risks losing their competitive edge. But how do you ensure that your brand doesn't lose its identity and that creativity retains its human dimension?
• 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?
• Artificial Intelligence Is Transforming Consulting: Helper or Threat? — Artificial intelligence is fundamentally reshaping professional services — from automating routine tasks to new pricing models. Consulting firms stand at a crossroads: AI can significantly help them, but it also represents an existential threat. How are they coping with this paradox and what does it mean for the future of the industry?
• Why the United Kingdom Is a Role Model for AI Adoption in European Institutions — Britain is becoming Europe's leader in the adoption of generative artificial intelligence in the public sector. What drives its success, what challenges does it face, and why should its example matter to Czech and Slovak professionals? Get inspired by concrete insights and trends shaping the future of public administration.
• Why 9 out of 10 Companies Fail to Prepare for AI Transformation — Only one in ten companies has a clear strategy for preparing its employees for the arrival of artificial intelligence. Most organizations leave AI adaptation entirely on the shoulders of employees without the necessary support or guidance. What sets prepared companies apart from the rest, and what steps should every organization take to succeed in an AI-powered future?
• Klarna Experimented with AI in Leadership and Customer Support — Now It's Hiring People Back — Klarna became a symbol of bold digitalization — it delivered earnings results through an AI avatar of its CEO and laid off hundreds of employees in favor of artificial intelligence. Today, however, it admits that the human factor is irreplaceable and is hiring people back. What's the story behind this technological experiment?
• 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.