AI for a Better tomorrow | Webinar recording | 30 min
Simplifying AQL with AI
Learn how AI can simplify working with openEHR query language by helping users generate and interpret queries, with live demonstrations and efficiency insights.
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Speakers: Robert Tovornik, Benjamin Muhič, Jovan PavićevićLanguage: English
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What will you learn?
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A practical and live demonstration of our AI solution in action, see firsthand how easy it can be to work with openEHR AQL.
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Expert insights into the efficiency and precision gains possible with AI-driven querying.
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Real-world applications, tips, and best practices for leveraging our AI solution in your daily tasks.
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Explore practical examples and insights into future innovation.
Meet the speakers

Robert Tovornik
Innovation lead, Better
Robert Tovornik is the Innovation lead at Better, with extensive experience in data science, computer vision, and software development. His technical expertise includes predictive analytics, recommendation systems, reinforcement learning, and natural language processing, with applications ranging from patient data analysis to biomedical image processing.

Benjamin Muhič
Better Studio product director, Better
Benjamin Muhič is the Better EHR Studio Lead, where he leads a team of developers, QA specialists, and designers, overseeing the development of our low-code development tool. With extensive experience in technical leadership, Benjamin specialises in Angular architecture, performance optimisation, and technical risk management. He is well-versed in Agile methodologies, front-end frameworks, and enjoys mentoring and driving team collaboration to build high-impact solutions.

Jovan Pavićević
Chief Growth Officer, Better
With 15 years of experience in international sales, Jovan currently leads the growth unit at Better. His past experiences cover a variety of industries, including banking, telecommunications, energy, and healthcare, selling both enterprise-grade products and turn-key solutions all over the world.