On May 24-25th, 2023, Innovecs had the privilege of attending the Infoshare Conference in Gdańsk, one of the most prominent tech conferences in Central and Eastern Europe. Continuing the expansion in Poland, Romania, and Hungary, we visited AmberExpo for the second time in a row, handling Infoshare’s Gold Partnership this year.
The conference served as a hub for industry experts, thought leaders and innovators to discuss the evolving tech ecosystem in Poland and the CEE region. Let’s delve into the primary takeaways and discuss the hottest topics that emerged during the conference, including the role of AI technologies, the importance of ethical tech, and the power of data-driven decisions.
Transforming the Tech Industry with AI
It’s not a surprise that, AI took the spotlight at the Infoshare Conference this year, highlighting its transformative impact on the CEE tech industry. Advancements in AI are not only reshaping work through automation of various processes, but implementation of them is already a necessity for businesses in order to stay competitive.
One important innovation discussed was AI Software Testing for QA, which simplifies regression testing, eliminates errors, reduces test time, and detects defects. AI-based systems analyze behavioral patterns to create test suites, enhancing testing processes. So, as we can tell from the speeches of world-renowned experts, AI is the future of programming, assisting developers with complex APIs and simplifying coding.
On the other hand, as AI continues to make significant strides in the tech industry, ensuring that its deployment aligns with ethical standards becomes increasingly crucial. Experts emphasized the development and implementation of ethical tech solutions to mitigate potential risks and pitfalls associated with AI algorithms.
Transparency emerged as a central theme during the panel speeches. It is essential to have clear visibility into the decision-making processes of AI systems to understand how they arrive at their outcomes. Transparent AI algorithms allow for scrutiny, enabling organizations and stakeholders to identify and rectify potential biases and discriminatory tendencies. Accountability also played a vital role in the conversation, emphasizing the responsibility of developers and organizations to be answerable for the behavior and impact of AI systems they create and employ.
So how to strike a balance between becoming more efficient by taking advantage of AI and staying human-focused at the same time? Andrii Poddubnyi, Director of Engineering at Innovecs, has his answer to this question.