AI in Business

Articles in the AI in Business category. Practical tips, news and guides for working with 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.
The most powerful AI models are entering the same regime as military technology — The US government ordered the most advanced publicly available AI model pulled from the market just three days after launch. The reason was national security. For companies that build their processes on rented intelligence, it is a signal that access to the best models is no longer a given. What does it mean for company strategy, and where should they look for alternatives?
Czech E-shops Are Mass-Testing AI, But Only a Fraction Manages It Strategically — Almost all Czech e-shops are already experimenting with artificial intelligence. However, a new study reveals that only 6 percent of them have managed to truly integrate AI into their processes and management. How are Alza.cz, PPL, and Zásilkovna working with it, and what is preventing others from moving from experiments to strategy?
Spain is showing Europe how quickly you can catch up with leaders in AI adoption — While Germany and the UK lead in overall maturity, Spain is the fastest-growing AI market in Western Europe. A new report from Redegal reveals what is driving this jump, why 2026 represents a tipping point, and what impact artificial intelligence is having on e-commerce, marketing, and customer service.
Data Is the Weak Link in Enterprise AI and Startup Validio Is Building a Multi-Million Business on It — Most corporate AI projects never reach production. Not because of poor models, but because of low-quality data. Stockholm-based startup Validio bet on this back in 2019 and has now raised $30 million to help companies prepare their data for the AI era. Why is data quality so crucial and what exactly does Validio offer?
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.
The Czech Republic Can Be a Leader in the Practical Use of Artificial Intelligence, Believes New Government Commissioner — The Czech Republic has a chance to become one of the leaders in artificial intelligence in Europe by 2030. According to the new government commissioner Lukáš Kačena, we have quality research capacities and technical education that give us a head start. However, we lack the quantity of projects and the ability to retain talent. How exactly does the state plan to support AI development in business? And why are Czech companies embracing artificial intelligence faster than the public sector?
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.
Local AI Brings Companies Data Control and Cost Savings — Imagine being able to use artificial intelligence as powerful as ChatGPT, but your data never leaves your computer. No monthly subscription, no GDPR compliance worries, no usage limits. Local AI models make this possible today and aren't just for tech enthusiasts. Companies and individuals are discovering that the investment in a local solution pays back within a few months while giving them full control over their sensitive information.
Rules for Working with Data in the Age of Artificial Intelligence — AI can work miracles, but feed it bad data and it starts making things up. We all want to automate and accelerate, but in practice we often hit a wall. How do you get the most out of artificial intelligence and avoid so-called hallucinations? The key is not speed, but a smart and systematic approach to sources. Here are practical rules that separate useful outputs from digital noise and ensure your decisions are grounded in real facts.
The Future of Corporate Communication Belongs to Those Who Can Combine Human Creativity with the Unlimited Power of Generative Models — Most companies today experiment with AI on a trial-and-error basis, but only those who understand the process evolution will gain a real edge. From the first tentative experiments with avatars to fully automated systems that generate thousands of personalized videos per minute, the journey is divided into five logical phases. In this detailed guide, we break down how to move your company from zero to the peak of today's technological possibilities.
Česká spořitelna Shows the Way to Combining Technology with Human Empathy — Have you ever thought about where the limits of human energy lie when working with clients? While an experienced banker can comfortably handle fifty meetings a day, technology effortlessly exceeds this limit. The new Future Lab concept in the center of Prague is testing how AI and digitalization can work hand in hand with people without losing the bank's soul. The first months reveal surprising data about avatar performance and what clients actually look for outside regular opening hours.
The Real Value of Artificial Intelligence Lies Not in Models but in Its Specific Skills — For the last few years, we've all been fascinated watching AI models grow and become smarter. But now attention is shifting elsewhere — and you might be surprised to find it's not toward autonomous agents. The layer of so-called "Skills" is becoming the key to practical use in companies. In this article, we'll explain why users don't care about the technology in the background, but about the system's ability to deliver a finished result — and how this shift will affect your work.
Where to Find the Best AI Experts for Your Business in 2026 — Looking for an AI developer and don't know where to start? The global talent market has changed dramatically. While the United States still leads in absolute numbers, many other countries today offer a combination of quality specialists, lower costs, and surprisingly strong technical communities. Find out which regions are worth paying attention to and how to navigate them.
A Detailed Look at OpenAI Statistics Shows That Small Businesses Are Adopting AI Faster Than Corporations — We often talk about feelings and impressions of artificial intelligence, but what does the hard data say? I took a closer look at the latest OpenAI statistics, which map developments through the beginning of 2026. The numbers reveal not only astronomical valuations and costs, but above all who the real users are. Surprisingly, it's not just tech enthusiasts, but the solid core of the productive economy. I've prepared an in-depth analysis of how this technology is performing financially, who uses it the most, and why the small and medium business segment is the biggest driver of adoption.
How I Saved Tens of Thousands on Professional Business Photography Thanks to AI — Do you know that feeling when you have big plans in your calendar but life throws a wrench in them? That happened to me last August, when I had a major business photo shoot scheduled. Instead of posing in modern offices, I ended up with a shattered ankle fracture and crutches. But this setback led me to an experiment that saved me not just time, but tens of thousands of crowns. I'll show you how today you can generate top-notch business portraits using AI without ever leaving home.
I Trained an AI to Evaluate Strategic Goals Using the SMART Method — and You Can Too — The New Year 2026 brought with it a wave of resolutions and corporate strategies that unfortunately often end up in the bin due to poor definition or a lack of grounding in reality. During a recent mentoring session with a board member of a major Czech insurance company, we ran into exactly this problem — even expensive training couldn't ensure the quality of the goals being set. We decided to change that and built an AI assistant that not only checks the SMART methodology, but also monitors alignment with your vision. And you can try it too.
AI in the Browser Is Moving Beyond Simple Chat Toward Tool Creation — Do you know that feeling when you have thirty windows open in your browser and you're gradually losing track of what you were actually looking for? Google is coming with an experiment that could turn this digital chaos into useful order. Imagine a browser that automatically assembles a functional mini-application from your open tabs, tailored precisely to your current needs. Let's take a look at the new thing called Disco, which points to the next direction of AI.
Open MCP Standard Will Break Down Barriers Between Enterprise Applications and Language Models — Remember how complicated it was to connect a printer to a computer before USB became the standard? Something very similar is happening in the world of artificial intelligence. The Model Context Protocol (MCP) technology, which teaches applications to effectively "talk" with language models, is becoming an open global standard under the Linux Foundation. Google is going all in on this innovation, and Czech developers are among its founders. What does this crucial step mean for the future of enterprise data, and why should you care? Find out in this article.
The Gap Between Ambition and Reality: Why AI Isn't Yet Paying Off for Many Companies — We all sense that artificial intelligence is the number one topic, but what do the hard market data say? A fresh survey of hundreds of IT directors reveals a rather harsh reality. Despite massive corporate investments in AI, only a fraction of companies see real returns. Where did things go wrong? It turns out the problem is often not the technology, but what happens in the shadows of corporate IT and a shortage of people who know how to work with the tools. Let's look at the numbers that hold a mirror up to the current state of affairs.
5 Steps to Choosing Corporate AI Training Without Getting Burned — A Complete Manual — Your CEO wants an "AI strategy" and visible results (preferably yesterday) because they read an article in Harvard Business Review about a 30% productivity increase. The CFO has been asking about ROI for the third quarter running. And employees? They oscillate between panicked fear that AI will replace them and the naive belief that ChatGPT will do everything for them while they drink coffee.
Generative AI at Work: It's No Longer Just a Toy — 54% of Users Work with It for Real — New data from the Czech Statistical Office for 2025 brings the first major census of the "age of artificial intelligence." It turns out that generative AI, such as ChatGPT or Copilot, is no longer just an experiment for enthusiasts — a third of Czechs actively use it. But what's more important: for most of them, it's no longer about entertainment, but a real work tool. Moreover, we have an excellent starting position — the level of advanced digital skills in the population is surprisingly high.
Forget Chatbots — In 2026 Your Company Will Speak Through a Digital Human — We recently looked together into the future in an article about 10+1 AI trends for 2026. Among the flood of new developments, however, one technology stands out enough to deserve its own space. Imagine that instead of an impersonal text chat on your website, a friendly person who responds instantly talks to your customer. Meet LiveAvatar from HeyGen. And the best part is you can try it for free today.
A Major Analysis of AI Christmas Ads 2025 and Lessons for 2026 — The year 2025 will go down in marketing textbooks as the "Great AI Experiment." The Christmas season, traditionally reserved for the most expensive productions, the deepest emotions, and iconic moments, became a battleground for generative models. From global giants like Coca-Cola to Czech pioneers like Rohlík.cz — everyone bet on artificial intelligence with one goal: to prove that the future of advertising is cheaper, faster, and more accessible.
Why Older Generations See AI Utility Differently Than Young People — and What We Can Do About It in Companies — New research reveals an interesting paradox. While younger generations are diving headfirst into artificial intelligence, older colleagues often remain on the shore. This isn't about resistance to technology as such, but rather a lack of trust and opportunities to get familiar with new tools. Let's look at how these differences arise, why developing markets lead in AI adoption, and how we can ensure technology serves all generations equally — without sacrificing our mental well-being.
Infrastructure Is What Stands Between You and Successful AI Deployment — Most companies have already deployed AI or are at least considering it. But results often disappoint. The problem usually isn't in the AI itself, but in what's supposed to support it. Outdated networks, insufficient infrastructure, and connectivity outages are costing British companies millions of pounds each year. As it turns out, without solid foundations, AI has no chance of fulfilling its potential.
Your Boss Will Now See How Often You Use Artificial Intelligence — Microsoft is introducing a feature that will likely please managers but may make employees a bit nervous. A new feature within Viva Insights will allow companies to track how intensively their people use Copilot and other AI tools. And that's not all — it will also show comparisons with competitors. Will this be an impulse for greater AI adoption, or a path to more corporate surveillance?
How to Get the Most Out of AI Without Losing Your Humanity — While some are still wondering whether to dive into artificial intelligence, others are already actively using AI to improve decision-making, the creative process, and strategic thinking. What do successful companies and individuals have in common? Why has the time for deliberation run out, and how do you get started the right way?
Rohlík, Alza, and Microsoft Revealed Their AI Workflows — At the Planeta AI conference held at the Prague Planetarium, representatives of Czech and global companies demonstrated how they work with artificial intelligence in practice. Alza, Rohlík, Microsoft, and others opened up their workflows and showcased specific tools that help them with day-to-day work. Find out why 90 percent of employees use AI without management's knowledge — and how to prevent it.
Why Companies Should Not Eliminate Junior Positions Because of AI — Salesforce CEO for the UK and Ireland Zahra Bahrololoumi is clear: the potential of artificial intelligence is greater than the internet ever was. Yet she also warns against a critical mistake that dozens of companies are making today. Eliminating junior positions due to automation could seriously backfire in the future. What role will AI agents play in business, and why is a responsible approach to technology the key to success?
Without Solid Foundations, AI in Companies Collapses Like a House of Cards — Algorithms can be as good as they like, but with bad data you won't create anything useful. Yet most companies still deploy AI systems on chaotic, incomplete, or low-quality data. The result? Flawed decisions, wasted money, and frustrated customers. All it would take is an investment in what most people overlook: proper data foundations. Without them, no AI will move forward.
IBM and Anthropic Join Forces, Bringing Claude into Enterprise Development Environments — IBM and Anthropic have announced a strategic partnership that brings the Claude language model directly into IBM's developer environment. More than 6,000 early users report an average productivity increase of 45 percent. What does this mean for companies that want to leverage artificial intelligence for software development, and how far do the possibilities of this new collaboration between technology giants reach?
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.
Czech Startup Raises 73 Million CZK for AI Data Preparation — Young Czech company Boost.space has just secured an investment of 73 million CZK. Its platform helps companies consolidate data from various applications and prepare it for use with artificial intelligence. Its customers include Seznam and Škoda Auto, and it is now targeting the US market. The investment round was led by the Jet Investment fund of entrepreneur Igor Fait.
Why Businesses Need Artificial Intelligence Orchestration for Real Success — Investments in artificial intelligence are growing every year, but most companies run into the same problem: isolated AI tools that don't communicate with each other. The result is inconsistent outputs, frustrated employees, and unmet expectations. The solution is AI orchestration, which can connect different models and data sources into a functioning whole. Find out why orchestration is becoming the key to successful AI deployment.
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.
Why Companies Are Not Yet Reaching AI's Full Potential and How to Make It a True Partner — Artificial intelligence is penetrating business faster than ever before, and its use has grown dramatically over the past year. Employees often do not use the time saved for company development, preferring instead to improve their work-life balance. Additionally, so-called "shadow AI" continues to grow. This article explores why this is the case and offers a path to turning AI into a genuine partner in the work process.
10+1 AI Trends for 2026: A Practical Guide for Czech Companies — 2025 was the year of ChatGPT experiments and pilot projects. 2026? That will be the year of hard truths. Gartner warns that 60% of organizations will fail to extract value from AI due to a chaotic approach. While some are still approving tools, others are already deploying autonomous AI agents that independently handle complex tasks. I have prepared an overview of 10+1 key trends that will separate successful companies from those that fall behind. Some you already know, others may surprise you, but you should take all of them seriously.
Affordable AI Tools for Entrepreneurs Just Starting Their Business — Artificial intelligence can save a lot of time at work, but many business owners think it's too expensive. It's not. There are tools with decent capabilities at a reasonable price, some even partially free. In this article you'll find eight specific solutions for content creation, video editing, working with code, or data analysis. Each of them solves something different and will help where small businesses usually lose the most time.
In 2026, Most Corporate AI Projects Will Fail, and There Is Only One Reason Why — While individuals achieve higher productivity with AI tools, large corporate projects often fail before deployment. Research warns that up to 90 percent of AI initiatives could end in failure in 2026. Surprisingly, the main problem doesn't lie in the technology or choosing the right model, but in something much more mundane. And that's exactly why there's a solution that can save your AI projects.
When Artificial Intelligence Causes Problems Instead of Benefits and How to Prevent It — Companies are increasingly adopting AI tools intended to improve work and boost productivity. Without proper coordination and governance, however, chaos ensues, leading to mounting costs, security threats, and compliance issues. In this article, we examine the phenomenon of "AI sprawl" and offer advice on how companies can better manage AI so it truly helps rather than harms.
Version Drift in AI: What It Is and Why It's a Hidden Risk for Businesses and Employees — Version drift is a hidden phenomenon where organizations accumulate numerous outdated document copies that AI systems often cannot distinguish from current versions. The result is accurate but invalid answers with real risks for decision-making and employee trust in AI. Understanding version drift and solving it is key to safe and effective use of artificial intelligence in companies.
Can AI Really Speed Up Agreements and Reduce Conflicts? — ComplexChaos is developing artificial intelligence designed to help people understand each other and find common ground more quickly. Testing the tool in real negotiation settings shows that AI can reduce the time needed for coordination by up to 60% and brings new perspectives to the table. What can it handle, and how could it change negotiations and collaboration both in companies and on an international level?
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?
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.
Why Companies Must Not Rely on a Single Cloud Service Provider — Data security is not one hundred percent even with established tech giants like Microsoft or Google. Moreover, complete reliance on a single cloud service provider often leads to vendor lock-in. What can companies and managers do?
Could AI Be Prime Minister of the Czech Republic as Early as 2029? — With recent elections and the dynamic development of artificial intelligence, it's no longer a question of whether AI will intervene in politics, but when and how. Czechia has a plan for AI development including its use in public administration by 2030, while around the world AI is already entering governmental roles — Albania appointed an AI "minister" to the cabinet to fight corruption. So could artificial intelligence become prime minister in Czechia? Let's take a closer look.
How Data Variety Complicates AI Implementation and What to Do About It — Successful AI deployment in companies is often blocked not by technology, but by the data itself. This article reveals why data variety is the key problem, why AI cannot solve it on its own, and how to find an effective path to integration and success.
How Can Organizations Successfully Implement Artificial Intelligence? — The article shows why, for successful AI implementation, it is crucial for organizations to focus on achievable outcomes rather than on who owns or controls the technology. It presents the need for leadership that sets clear goals, encourages creative experimentation, and fosters a culture where AI delivers real added value in everyday operations.
AI Without Good Data Doesn't Work: What You Need to Know About Data Preparation — Artificial intelligence is the center of attention today, but the true hero of successful AI projects is clean, high-quality data. Without it, even the most advanced models cannot function properly, which can lead to flawed decisions and financial losses. But how do you ensure that your data is sufficiently high-quality and trustworthy?
Artificial Intelligence and Data Chaos: Companies Face Uncontrollable Data Growth — Implementing generative artificial intelligence brings enormous opportunities for companies, but at the same time revives a long-familiar problem — data sprawl. The rapid growth of data and its unmanageable volume threatens corporate security, as sensitive data is often poorly managed and vulnerable to cyberattacks. What are the roots of this problem and what steps need to be taken to manage the data chaos?
AI Agents Need More Than Just Capabilities — They Also Need the Right Connectivity and Governance — AI agents have the potential to transform the way companies automate decisions and processes. Although they can independently handle complex tasks, they frequently run into a traditional IT problem — system silos. What risks and losses does this entail, and how can businesses ensure their AI agents truly function as a team?
The Future of Enterprise Intelligence: How to Build a Strategic Framework for Generative AI — Generative AI has revolutionized the speed and volume of content creation — from customer support to marketing campaigns. But speed without control becomes a risk, not an advantage. The real key now is governance, security, and unified integration across the company. How do you move from the chaos of experiments to intelligent, strategic use of AI?
How AI Is Invisibly Transforming Risk Management in Modern Companies — Artificial intelligence and low-code platforms are today fundamentally changing not only software development but also the way companies approach risk management and regulatory compliance. The shift from centralized to decentralized development requires adaptive governance, moving risk management from central experts to teams across the organization. Here is an overview of why this change is invisible but crucial.
Why Harmonic's Aristotle Chatbot Is a Revolutionary Tool for Precise Mathematical Calculations — Startup Harmonic, co-founded by Vlad Tenev, CEO of Robinhood, just launched the beta version of its AI chatbot Aristotle, available on iOS and Android. This chatbot brings a revolutionary approach to AI — it guarantees hallucination-free answers in the field of mathematical and quantitative reasoning. What lies behind this claim, and what does it mean for the future of AI?
Mandatory Artificial Intelligence at Work Helps Japan Manage Its Labor Shortage — In Japan, voluntary digitalization is no longer enough. Yahoo! Japan is introducing mandatory use of generative artificial intelligence for all its employees. The goal is to speed up routine tasks, improve efficiency, and help cope with the growing labor shortage in a country that is aging faster than any other.
AI Saves Developers Time, But Inefficient Workflows Cost Companies Millions — Artificial intelligence appears to be a developer's ally, but Atlassian reveals that poor information management and weak collaboration rob companies of significant benefits. Want to know why AI isn't a cure-all and what teams should watch out for?
Stop Piloting, Start Building Platforms: How to Make AI a Core Pillar of Your Business — AI has stormed the market — companies are deploying chatbots and automating processes. But few understand that the real value of AI is not in individual tools, but in the fundamental transformation of the entire business. If you want to truly thrive in the new age of intelligence, read how the architects think and why now is exactly the time to act.
When AI Becomes a Source of Fatigue Instead of Innovation — Everyone talks about a revolution through AI, but in many companies new technologies bring exhaustion rather than enthusiasm. What causes transformation to become a burden, what specific mistakes dominate, and how can this fatigue be overcome? Find the answers in this article.
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?
Why Data Variety Is the Main Obstacle to Successful AI Adoption — Almost every company wants to leverage AI, but most are stopped by an unexpected enemy — data variety. Why is this obstacle the most critical for successful digital transformation, and how can the right strategy and the combination of AI with a human approach deliver the desired results?
Specialized AI Agents Will Be the Key to Business Efficiency — Artificial intelligence is no longer just about smarter models. The era of AI agents is coming — autonomous digital colleagues that can independently handle complex tasks and fundamentally transform business efficiency and the nature of work. How will AI agents shape our work environment and why do experts prefer them over massive language models? Find the answers in this article.
Why the Future of Smart Applications Starts in the Database with Generative AI — Generative AI directly in databases is changing the rules of efficiency, security, and speed of application development. What does connecting artificial intelligence directly to your company data make possible? Find out why this trend is crucial for companies that truly want to innovate — and how to harness its advantages beyond just the technical team.
Data Governance as the Foundation of Trust for Agentic AI Systems — Agentic AI has quickly changed company expectations around data and its management. But the successful deployment of autonomous systems requires a new approach to data governance — not just a catalog, but an active "contract layer" that ensures context, trust, and traceability. Why is this shift necessary and where does it lead? The answers will surprise even seasoned data professionals.
With Proton Lumo, Europe Gets Its Own Secure Alternative to Well-Known AI Assistants — Looking for an AI assistant that respects your privacy and does not send your data to public data centers? Proton, known for its focus on security, introduces Lumo — an AI chatbot that promises a completely different approach to protecting user information. How does it work and how does it differ from ChatGPT or Gemini?
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 Agents as Colleagues: A Look into the Future of Enterprise Collaboration — See how AI agents have evolved from simple chatbots into full-fledged colleagues who today manage projects, create prototypes, and solve complex tasks in businesses. You'll be surprised by how much AI already handles and how rapidly the business reality has transformed.
Experiment: What AI Can (and Mostly Cannot) Do as a Company Store Manager — What happens when you entrust the entire operation of a real store to artificial intelligence? The Anthropic team tried it. The results were sometimes instructive, sometimes curious, and often comically absurd. The story of an experiment that clarified the limits of today's AI agents may surprise you…
Companies Are Betting on Agentic AI Much Faster Than Anyone Expected — Beneath the surface of media noise about artificial intelligence, a quiet but unexpectedly rapid revolution is taking place in business. Companies across industries are deploying agentic AI far earlier and at a broader scale than anyone predicted. What are the main reasons? And what should you watch out for?
The Data Product Manager: Key to Effective Use of Company Data — Companies today are drowning in data, but clear answers are often missing. Why do dashboards fail and how can a data product manager bring real value? Let's show why this role is essential in modern companies – and how it will help you get from your data what you truly need.
How Technical Debt Slows Innovation and What Companies Can Do About It — Technical debt is the silent killer of innovation and flexibility in companies. If you truly want to advance your IT, the first step is to shed the burden of the past. Find out why this matters so much and how to approach it in this eye-opening article on modernization without unnecessary clichés.
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?
Boomi Shows the Way to Use AI Agents to Their Full Potential — Safely — Agentic AI promises a revolution in business efficiency, but its real value depends on governance and trust. How can companies use AI agents to their full potential without losing control? Boomi offers a practical perspective on what agentic transformation means and why agent governance is essential.
Do You Really Want to Block Your Content from AI? — Cloudflare allows websites to be protected from AI bots, but at the same time there is growing interest from companies in being recommended by artificial intelligence. What dilemmas and opportunities come with the decision to open or protect your content? Let's look at it through the eyes of those who stand on both sides.
AI Agent Orchestration: The Key to Reliable Systems — The world of artificial intelligence is shifting from isolated models to sophisticated collaboration among several specialized agents. Just like a team of experts complementing each other's strengths, AI agents also need a well-thought-out architecture that ensures smooth communication, information sharing, and resilience against failures. Why is a powerful algorithm alone not enough, and what principles underlie successful multi-agent systems? The answer lies not in technical details, but in a design that balances control with flexibility.
Stop Expecting Miracles from AI and Learn to Use Its True Potential — Artificial intelligence fascinates, but does it really "understand" what it's doing? Find out why its ability to predict is not the same as human comprehension and how that difference affects your business. Discover how you can transform AI from a generic tool into a powerful partner that knows your company and speaks your voice. The key is your own "Second Brain."
How Proper Data Management Determines the Success of Artificial Intelligence in Businesses — Do you want artificial intelligence to truly help your business? The foundation isn't just choosing the right tool – it's the quality and structure of the data that feeds AI. In this article, you'll find out why it matters so much and how to approach it in practice.
Microsoft Expanded Its AI Portfolio and Opened New Possibilities for Agentic Solutions — At the Build 2025 conference, Microsoft focused on a new wave of AI agents and introduced over fifty tools that already enable businesses and developers to automate more efficiently, protect data, and connect business processes. What does the agentic approach to AI bring in practice and where is it already being used?
How AI Testing Agents Increase the Efficiency and Reliability of Business Processes — AI testing agents are the new wave in automation, allowing companies to better monitor and optimize their software systems. What advantages and challenges does their deployment bring, and why are they becoming a key tool across various industries? Read on to see how agentic AI is changing the world of corporate efficiency.
Artificial Intelligence Writes Up to 30% of Code at Microsoft, Says Satya Nadella — Microsoft is pushing the boundaries of automation – according to CEO Satya Nadella, up to 30% of the company's code is now created by artificial intelligence. What does this mean for developers, how do results differ between programming languages, and where is the future of programming in the AI era heading? Find the answers in this article.
AI Brings New Challenges and Opportunities, the Future Remains Open — Artificial intelligence is today regarded as a key technology that influences business and everyday life. However, its true potential and long-term impacts remain unclear for now. What can AI bring and what challenges await us?
Freepik Introduces New AI Enterprise Plan and Challenges Adobe — Freepik comes with a new AI plan for businesses that promises unlimited users, legal protection, and integration with key tools. But does it have a chance to compete with Adobe's established dominance in creative artificial intelligence? Read on to see what the new offering brings and what its strengths and weaknesses are.
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.
Companies Save Time and Increase Revenue Thanks to AI, LinkedIn Shows — Companies across industries are massively introducing AI into their processes and most of them are already reaping concrete benefits from this change. What benefits does AI bring them, where does it help most, and what trends did LinkedIn reveal in its survey? Draw inspiration from the data and find out why now is the right time to start with AI in your company too.
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.
Five Key Steps for the Safe Use of Generative AI in Business — Generative artificial intelligence offers enormous potential, but its introduction into business processes also brings new risks. How can you ensure that AI works in your favor, protects sensitive data, and doesn't undermine customer trust? Read on to learn which five steps are key to successful and secure AI integration.
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 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?
Google Upgraded Its AI Agents to Become More Autonomous Colleagues — Google has recently introduced major updates to its AI agents, opening new possibilities for companies in leveraging artificial intelligence. New features and tools enable agents to not only collaborate more effectively, but also to independently solve tasks. How exactly did Google change its agents – and what does this mean for everyday business operations?
AI Security in Business: Microsoft Introduces Innovations for Data Protection and Compliance — Companies are rapidly preparing for an era where people and AI agents will work side by side. Microsoft is introducing new security tools that protect not only data but also the digital identities of AI itself. What does this mean for your company, and what specific innovations does Microsoft offer?
The Future of AI Integration: Microsoft, GitHub, and a New Standard for Data Access — Microsoft and GitHub are joining Anthropic's MCP initiative, opening up new possibilities for how AI models can securely and efficiently work with enterprise data. What does this mean for developers and what specific changes await us in the Microsoft ecosystem?
Agentic AI: When Artificial Intelligence Takes Initiative and Solves Tasks for You
Artificial Intelligence Is Transforming the Value of Public, Private, and Synthetic Data — Data has long ceased to be just a raw material — it's now the key to success in the digital age. How is artificial intelligence changing the value of public, private, and synthetic data? Read on to find out why some data sources are moving to the forefront and how to extract maximum value from them without compromising security or privacy.
How the Kampa Exhibition Invites Reflection on the Future with Artificial Intelligence — A unique exhibition about artificial intelligence is currently taking place at Kampa in Prague, offering not only a wealth of information but above all inspiring reflection on how AI affects our work, daily life, and the future of society. Come discover why this topic is one you should not miss.
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?
Hybrid Work Is No Longer Just About Location — It Is About Human-AI Collaboration — Hybrid work has long since ceased to be merely a compromise between office and home. The real revolution comes with the integration of human skills and artificial intelligence, which pushes the capabilities of teams and companies to a new level. What does the future of work look like when humans and AI become true partners?
Mistral AI: A French Company's Ambitious Journey to the Top of Global AI — French startup Mistral AI has quickly become one of the most talked-about players in artificial intelligence. What are its ambitions, what sets it apart from the competition, and why is it considered Europe's greatest hope in the battle against giants like OpenAI? Read on to find out what makes Mistral AI exceptional.
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.
A New Era of AI: Self-Learning Agents Are Changing the Rules for Businesses — Artificial intelligence stands on the threshold of a fundamental transformation — instead of relying on human data, it will gather experience on its own. What does this mean for businesses, developers, and the entire digital world? An era is opening that will bring not only new possibilities but also new challenges.
Gruve.ai Is Transforming the World of AI Consulting and Revolutionizing Service Billing — AI projects often end at the pilot stage and never reach practical implementation. Startup Gruve.ai wants to change that: instead of armies of consultants, it deploys AI agents, charges only for actual usage, and promises software-like margins. How does this model work and why is it attracting investor interest?
Five Steps to Turn a Pilot Agentic AI in Industry into Real Business Impact — Agentic AI promises to revolutionize industrial enterprises, but most companies remain stuck in endless pilot projects with no real impact. How can you overcome the main barriers and move agentic AI from the testing phase into live production? Discover five practical steps that will accelerate the path to real results.
From Tech Novelty to Annoying Default: The AI We Never Asked For — Artificial intelligence is creeping into our lives faster than we expected — and not always to our delight. Why do we suddenly feel like technology is dictating what we need? When people hear "artificial intelligence," most imagine smart assistants or creative tools designed to make life easier. But the reality of recent months is more about AI starting to get on our nerves. Instead of helping us, it is suddenly everywhere — and often where we never wanted it.
B2AI: The New World Where Companies Sell to Artificial Intelligence — Companies are no longer just thinking about flesh-and-blood customers. Get ready for an era where products will be designed primarily for AI agents — and those who don't adapt risk being left behind.
Unlocking the Full Potential of GenAI: But How? — According to recent IDC reports, investments in artificial intelligence grew significantly last year. According to an IDC report from October 2024, spending on AI is expected to grow to as much as $150 billion by 2027. But this growth raises questions: What key challenges must companies overcome to make their GenAI investments worthwhile?
AI Excels in Business: Startup Assistant and Business Mentor in One — Modern artificial intelligence is bringing a revolution to the field of strategic decision-making and business. According to research led by experts from Texas McCombs, AI is capable of not only creating business plans but also evaluating them with impressive accuracy.
Premium AI for Free for Every T-Mobile Customer — T-Mobile is offering its customers a unique opportunity to use top-tier artificial intelligence features completely free of charge. Through the Magenta Moments program, anyone — regardless of their plan type — can activate a one-year subscription to Perplexity Pro, which includes tools such as GPT, Claude, and Grok.
EU AI Act: Approved! What Does It Mean for Us? — After a long wait, the Artificial Intelligence Act (AI Act) has finally been approved, making the European Union a pioneer in regulating this rapidly evolving technology. But what does it actually mean for us? In this blog post we dive deep into how the AI Act works, describe its categorization system, and outline the requirements for artificial intelligence systems.