AI Evening in Poznan - artificial intelligence development perspectives

Yesterday's AI Evening in Poznań, organized by Krzysztof Jędrzejewski and the Poznań Data Horizon team, provided valuable insights from three key areas of AI development. Each presentation shed light on different challenges and opportunities facing the industry.

Red-teaming AI: security as a priority

Maksymilian Marcinowski presented the fascinating world of AI system red-teaming. In the United States, specialized companies already operate whose sole task is "breaking" artificial intelligence systems - from chatbots to virtual assistants.

Why is this important? Red-teaming allows vulnerabilities to be detected before they reach end users. It includes testing for manipulation, extraction of sensitive data, or prompting AI to generate harmful content. It's an investment in the long-term credibility of technology.

In Poland, awareness of AI security is still low. While American companies are building entire departments responsible for ethical AI testing, Polish enterprises often focus exclusively on functionality, overlooking security aspects.

Technological insourcing: corporations buy innovation

Maciej Szczerba explored the phenomenon of AI startup acquisitions by large corporations. These aren't just classic acquisitions - it's strategic competency insourcing.

Why do corporations choose this path? Primarily speed-to-market. Building an AI team from scratch can take years, while acquiring a startup provides immediate access to ready-made solutions and experienced specialists.

The trend encompasses both tech giants (Google, Microsoft, Meta) and traditional industries. Banks are buying AI fintechs, automotive conglomerates - autonomous driving startups. This is an evolution of the innovation model: from internal R&D to external acquisitions.

Business reality of AI: process maturity as the key to success

Urszula Skiepko shared the most valuable insights - concrete lessons from AI implementations in business. Her main thesis: technology is just a tool, success depends on organizational maturity.

The most common mistakes include:

• Lack of clearly defined business objectives
• Unprepared processes and data
• Overly high expectations of technology
• Overlooking change management aspects

Successful AI implementations share a common denominator: solid process foundations, realistic expectations, and gradual solution scaling.

Summary

AI Evening showed that the artificial intelligence industry in Poland is maturing. From security issues, through strategic acquisitions, to practical implementations - every aspect requires a thoughtful approach.

Key takeaways:

• AI security should be a priority from the beginning, not an add-on
• Startup acquisitions are an effective way to quickly acquire AI competencies
• The success of AI projects depends more on organizational maturity than on chosen technology

Feel free to contact us - we'll gladly tell you how AI agents can change your business today, not in 10 years.