R&D Talk | Context Engineering: The Missing Layer of Enterprise AI Platforms
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Are you ready to make your AI systems more reliable and production-ready?
Join the upcoming R&D Talk "Context Engineering: The Missing Layer of Enterprise AI Platforms," where we’ll explore why the biggest challenge in scaling AI is no longer the model itself, but the quality of the context behind it.
In this session, we’ll dive into context engineering — an approach to structuring and delivering enterprise knowledge to AI systems through retrieval pipelines, memory layers, and optimization strategies.
You’ll learn how it helps improve grounding, reduce hallucinations, and enable more consistent, reusable AI solutions across use cases.
✨ Register now for free [CLICK] ✨
About speakers:
Taras Rumezhak
Associate Director of R&D Vision Practice at SoftServe,
specializing in AI, Generative AI, and computer vision. A graduate of the University of Oxford and UCU, a speaker at leading conferences, and a published author of research papers.
Leonid Pavlovskyi
R&D Product Owner at SoftServe,
leading Generative AI projects. With a background in digital marketing and product management, he executed strategies that enhance brand recognition and drive growth. Educated over 20,000 students on practical AI marketing through online courses.
Please take note that the meeting is held online - you will receive the link after registration.
R&D Talks is a series of online meet-ups where SoftServe R&D specialists share insights into the latest technologies and innovative trends.
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