Are business and technology still speaking different languages in the AI world?<\/strong><\/p>I think business and technology still often speak different languages, though the gap between them is closing fast. The world of AI is evolving so dynamically that the pace of technological innovation is outstripping many companies’ ability to understand and implement it in practice. Business folks sometimes find it hard to accurately assess the possibilities for developing and deploying AI tools, like the amount of data, human resources or computing power they need. On the other hand, engineers focus on models, code, data and architecture but don’t always understand which issues and real-world problems are worth applying them to. Meanwhile, the business side thinks in terms of potential profits, risks, costs, processes, but also measurable outcomes. A big challenge is translating the capabilities of AI models into real business benefits, moving from “it works technically” to “it solves a specific problem and adds value.” The good news is that more roles, tools and methods are emerging to build this bridge.<\/p>
Is no-code\/low-code with AI changing the dynamics of collaboration between business and technology?<\/strong><\/p>It definitely creates opportunities for it. Non-technical people can now prototype solutions, automate processes or test ideas without waiting for developer resources. This moves a part of innovation “closer to business” and significantly shortens the time from idea to implementation. However, this doesn’t mean technology becomes any less necessary. IT teams still handle the quality, security, scalability and integration of these solutions with the existing architecture. The difference is that collaboration becomes more of a partnership: instead of requests to “create an app for us”, companies more often start with ready-made prototypes developed by the business, which IT then refines.<\/p>
Do companies today know what problems they want to solve with AI? Or are they still “searching for a use for the technology”?<\/strong><\/p>It depends. There are companies that built their entire business around AI (and that was before AI became as popular and powerful as it is now). Many companies are still at the stage of figuring out how to specifically apply AI.<\/p>
Is the programmer role shifting towards AI engineer, and if so, what does that actually mean?<\/strong><\/p>The role of the programmer is indeed shifting towards AI engineer, but also towards being AI user. Increasingly more developers are using AI to assist in code creation \u2014 in some companies, a significant portion of the code is already being generated with AI tools. At the same time, many programmers are opting to evolve into an AI engineer role, a specialist who not only creates software but also builds solutions that learn from data and make decisions without the need for constant human intervention.<\/p>
What’s the Warsaw.AI Hackathon, and why was it created?<\/strong><\/p>The Warsaw.AI Hackathon is a unique two-part event that this fall will bring together over 100 participants from across Poland in Warsaw. It includes developers, analysts, designers, AI specialists and new tech enthusiasts. On November 29-30, 2025, at the Google for Startups Campus, participants will work in interdisciplinary teams to create innovative tech solutions based on artificial intelligence.<\/p>
For several years, I’ve been organizing and hosting the Warsaw.AI meetup, which brings together AI industry experts. At the afterparty of one of these events, a conversation sparked about the need to connect AI specialists with people from other fields, like business, UX\/UI, app design and product management. The idea for the Warsaw.AI Hackathon was born inspired by this.<\/p>
In Poland, there has been ongoing discussion for years about why, with so many excellent programmers, we have so few companies that have developed truly advanced IT solutions from scratch. I think there are many reasons, and a lot of them stem from our historical context. However, I believe the situation will improve, and we can already see these changes. Bringing IT specialists together with experts from more “corporate” fields might help solve this issue, which is why we decided to organize the Warsaw.AI Hackathon.<\/p>
Can people join without any coding knowledge, just being familiar with no-code or low-code tools?<\/strong><\/p>You can join by just knowing no-code or low-code tools, and even that’s not strictly necessary! We want interdisciplinary teams, so we’re also welcoming people with a more business-oriented background, UI\/UX design specialists, marketing experts, legal professionals and other fields. What’s essential is a passion for new technologies, innovation and a willingness to learn, as well as expertise in your own skills that will be useful in the startup world. The hackathon will kick off with match-making and educational workshops, allowing participants to team up and gain numerous valuable skills.<\/p>
What projects will participants be able to create?<\/strong><\/p>There are 2 challenges lined up by partners at the Warsaw.AI Hackathon. There\u2019s also an open track available where participants can work on a project they propose themselves.<\/p>
What can participants take away from this event in terms of skills, experience and connections?<\/strong><\/p>Participants will definitely gain a lot of knowledge \u2014 the Warsaw.AI Hackathon is kicking off with educational workshops, and working in interdisciplinary teams fosters an exchange of experiences and insights. Teams will consist of 3 to 5 members, and the hackathon will start with a match-making session, which will enable valuable connections to be made. Additionally, during the event, there will be outstanding mentors and representatives from hackathon partners, which will surely enrich the whole experience.<\/p>
What sets apart hackathon projects that end with just a demo from those that have a real chance at implementation?<\/strong><\/p>Projects with a real potential for implementation usually have a better grasp of the context and the issues they aim to solve. At the Warsaw.AI Hackathon, participants will have the chance to tackle real-world problems presented by hackathon partners, successful companies. The team is also key \u2014 projects that can be deployed typically feature a strong diverse team that combines technical, business and design skills. That’s why, during the Warsaw.AI Hackathon, we encourage participants to form interdisciplinary teams.<\/p>","protected":false},"excerpt":{"rendered":"
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