The Everything Feed - All Packet Pushers Pods HW055: Improving Wireless Design With AI
Jun 24, 2025
Jussi Kiviniemi, Founder and CEO of Hamina Wireless, dives into the transformative role of AI in wireless network design. They discuss how machine learning enhances network modeling, improving accuracy in site surveys. Jussi shares insights on the collaboration between engineers and architects, emphasizing the importance of understanding architectural elements for effective wireless solutions. The conversation highlights AI's potential to streamline processes while supporting Wi-Fi engineers, ensuring job security in the tech-driven future.
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Difference Between AI and Machine Learning
- Machine learning is a subset of AI focused on training models with large data sets to make predictions.
- Traditional computer programs require explicit algorithms, while machine learning makes educated guesses based on experience.
Data and Engineers Drive ML Success
- Machine learning effectiveness depends on high quality, well-annotated training data and smart algorithm design.
- Developing AI models requires both abundant data and expert engineers skilled in math and software architecture.
Culture Attracts Machine Learning Talent
- Building a strong company culture is key to attracting and retaining skilled machine learning engineers.
- Talent chooses where to stay based on cultural fit, not just skills or salary.