By Ermin Dedovic,
Program Architect @ Authority Partners
August 21, 2025
It is our annual deep dive into technology trends and the future of software architecture. It brings together developers, architects, engineering leaders and clients to explore how modern systems are built – through real-world examples, hands-on sessions and technical insights.
Each year, we focus on what’s shaping the industry – not just in theory, but in actual implementation.
This year, we looked closely at the growing role of real-time systems and AI in shaping scalable, secure and maintainable software. Across two days, we shared lessons from the field – what’s working, what’s not and how teams are turning emerging tools into real business value.
In this lecture, Ermin Dedovic, a solution architect at Authority Partners, discusses approaches to operationalizing language models.
Enterprises are increasingly adopting large language models (LLMs) to automate and enhance knowledge-driven workflows while maintaining security, compliance and operational efficiency.
They typically integrate these models within established organizational processes, leveraging supportive infrastructure and governance structures to ensure high reliability. As a result, solutions often involve orchestrating various steps and tools in a way that aligns LLM capabilities with business objectives and regulatory requirements, without exposing sensitive data or risking errors in high-stakes scenarios.
For 27 years, Authority Partners has helped clients become industry leaders. We don’t just build software—we build competitive advantages. Our commitment to technical excellence, on-time and on-budget delivery and real business outcomes is more than a value proposition—it’s a reputation we’ve earned. We are partners in our clients’ growth, helping them scale, innovate and succeed.
To learn more about how we can help your business, please reach out to us here or via email at hello@authoritypartners.com.
Thoughts, breakthroughs, and stories from the people building what’s next.