AI Chamber Octagon: Cloud vs. Edge

AI Chamber turns the traditional webinar format upside down with a live, no-holds-barred debate between two competing AI architectures – Cloud AI vs. Edge AI.

In the cloud corner, Marcin Radecki, CEO of LoudData, will defend the power of scalable, cloud-native AI built for enterprise transformation.
In the edge corner, Dawid Sowiński of Consult.red will champion AI that runs directly on devices — fast, private, local, and independent from the cloud.

One topic. Two visions. Zero filler.

Expect sharp arguments, practical business examples, real-world use cases, and a live audience verdict at the end.

What will be discussed?
Cloud AI vs. Edge AI — where does each approach win?
Privacy, latency, scalability, and infrastructure costs
Real deployment scenarios in business and industry
The environmental and operational impact of AI architectures
What organizations should consider before choosing their AI strategy

Speakers
Dawid Sowiński
Network and systems administrator with over 20 years of IT experience and a former professional soldier.

At Consult.red, he combines expertise in IT, embedded systems, cybersecurity, and AI to design and optimize offline LLMs running on edge platforms (EdgeAI). His work focuses on low latency, energy efficiency, and maximum data privacy.

Long before the ChatGPT boom, Dawid was already working with AI technologies and today demonstrates the real business and environmental impact of cloud-independent AI solutions.

Marcin Radecki
CEO of LOUD DATA, specializing in data infrastructure, analytics, and practical AI solutions for enterprise.

Marcin helps organizations transform complex data into faster and smarter business decisions, with particular expertise in manufacturing, operations, and AI-driven transformation.

He is also the co-host of the “Data Without Bullsh*t” podcast, where he discusses the real business impact of data and AI beyond the hype.

👉 Confirm your attendance on the LinkedIn event page.
The livestream will be available on the day of the event.