{"id":9640,"date":"2026-05-21T10:01:14","date_gmt":"2026-05-21T08:01:14","guid":{"rendered":"https:\/\/brain4industry.cz\/?post_type=blog&p=9640"},"modified":"2026-05-21T14:21:22","modified_gmt":"2026-05-21T12:21:22","slug":"ai-in-business","status":"publish","type":"blog","link":"https:\/\/brain4industry.cz\/en\/blog\/ai-in-business\/","title":{"rendered":"Interview: What Can Artificial Intelligence Already Do for You?"},"content":{"rendered":"\n

Artificial intelligence is going through one of the fastest technological shifts in history. Many
organizations are moving from experimentation to real deployment of agent-based systems that can
perform tasks independently and at scale. These AI agents<\/a> are among the key trends of 2026 and are
significantly changing productivity, automation, and the way companies work with data and
customers.<\/p>\n\n\n\n


AI is becoming a practical tool for everyday work. It helps automate processes, analyze data, and
better understand customers. What tasks can it already take over today, and where does it bring the
most value?
<\/p>\n\n\n\n

The practical use of AI in business is discussed by Zdenko Piovar\u010di<\/a>, AI expert at Brain4Industry, in an
interview with Adelaine Rozinkov\u00e1, PR & Marketing Specialist.<\/p>\n\n\n\n

AI Applications<\/h2>\n\n\n\n

What can AI already do for us today?<\/strong> <\/p>\n\n\n\n

It depends on the role, but in practice there is significant potential for AI in almost every position. It can support work with information, documents, and content, as well as programming and testing. It can also work with voice, video, and images, and assist in processes, integrations, decision-making, predictive analysis, and many other areas.<\/p>\n\n\n\n

AI Analysis and Decision-Making in Business<\/h2>\n\n\n\n

How can AI help companies with analysis and strategic decision-making?<\/strong><\/p>\n\n\n\n

AI, especially through LLM models, can generate large-scale analyses from extensive data inputs. It enables comparison with competitors, identification of trends, marketing research, and even the collection of information about internal risks. At a strategic level, it is a very powerful tool for decision-making.<\/p>\n\n\n\n

AI Market and Business Predictions<\/h2>\n\n\n\n

Can AI predict market trends, stocks, or demand?<\/strong><\/p>\n\n\n\n

There are many AI tools that can generate predictions based on available data. These help companies prepare for changes in advance from purchasing materials and semi-finished products to changes in orders, margins, or overall market behavior.<\/p>\n\n\n\n

Of course, AI is not a tool that guarantees unlimited profit. Many factors influence predictions. This is also why AI is more powerful than traditional statistics. It can connect multiple data sources and continuously learn from them.<\/p>\n\n\n\n

AI Assistants as Work Support<\/h2>\n\n\n\n

Can we see AI assistants as future employees?<\/strong><\/p>\n\n\n\n

Not yet. We are still working with narrow AI, and no one knows when or if we will reach superintelligence.<\/p>\n\n\n\n

However, AI assistants and agents can already handle many tasks related to working with information.<\/p>\n\n\n\n

For example, a sales manager can use AI to create a summary of their team\u2019s work. How much time was spent with each customer, whether via email or phone, and what results were achieved. AI can also monitor communication sentiment and help prevent unwanted behavior on either side.<\/p>\n\n\n\n

Tasks Ready for Immediate Automation<\/h2>\n\n\n\n

What tasks could AI take over tomorrow?<\/strong><\/p>\n\n\n\n

Daily administrative tasks, technical work, analytical and consulting activities, and part of communication.<\/p>\n\n\n\n

Impact of AI on Business Performance<\/h2>\n\n\n\n

Does AI help sales teams close more deals?<\/strong><\/p>\n\n\n\n

There are many business use cases, such as predicting market trends, demand, and margins, suggesting data-driven marketing activities, monitoring processes, or analyzing business potential.<\/p>\n\n\n\n

Customer Analysis and Behavior<\/h2>\n\n\n\n

How does AI help with customer analysis?<\/strong><\/p>\n\n\n\n

AI can perform clustering, meaning it can segment customers and identify which groups perform best. It can also detect sentiment and other behavioral patterns and suggest next steps based purely on data, without emotional bias, with a strong focus on performance and monetization.<\/p>\n\n\n\n

Marketing Personalization with AI<\/h2>\n\n\n\n

How can AI be used to personalize marketing?<\/strong><\/p>\n\n\n\n

Through data. The foundation must be internal or external historical data capturing behavior across different parameters. Based on this, AI can recommend actions and select the best approach for different countries, regions, and customer segments based on factors such as gender, age, and more.<\/p>\n\n\n\n

AI as a Practical Tool for Competitiveness<\/h2>\n\n\n\n

Artificial intelligence is no longer a futuristic concept. It is a practical tool that helps companies automate routine tasks, better understand customers, and make more informed decisions. Its biggest value lies in connecting data, processes, and human decision-making.<\/p>\n\n\n\n

If you want to explore how AI can help your company increase productivity and competitiveness, Brain4Industry will help you find a practical and effective solution.<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

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