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During this webinar, we will explore what truly separates AI demos from production-ready AI agents – and what organizations need to build systems they can actually trust in real business environments.
The session is designed for tech leads, product owners, and operations managers in companies ready to move beyond experimentation.
We will discuss how modern AI agents are built, how they interact with business systems and users, and why orchestration, memory, evaluation, and reliability are becoming critical components of enterprise AI adoption.
You will also see real-world examples of AI deployments across IT operations, compliance, and customer communication – including measurable business impact such as:
We will also openly address the biggest challenge organizations face today: the gap between an impressive AI demo and a production system that can safely operate overnight without supervision – and show practical approaches to closing that gap.
The event includes 45 minutes of presentation followed by a live Q&A session. The webinar will be recorded and shared after the event.
Software Engineer
A machine learning engineer with over 6 years of experience who turns fragile AI concepts into rock-solid enterprise solutions. He has been observing the evolution of generative AI since its very inception. Maksym knows how to harness large language models (LLMs) and has deep experience with RAG (retrieval-augmented generation), query engineering, and the architecture of autonomous agent interactions. He specializes in implementing AI into real-world processes, cloud architecture, and MLOps. A staunch pragmatist: he sincerely believes that the ideal system is based on simple solutions and does not require human intervention once it is up and running.
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