Graph technology has been the fastest-growing sector in database systems over the past decade. This talk addresses the strategic importance of mastering graph technologies, which is crucial for professionals who are at the forefront of technological innovation, coding efficiently, and system design. Mastering these tools isn't just an enhancement—it's an imperative. 

In this comprehensive session, we'll explore high-level graph algorithms that form the backbone of modern, complex systems and discuss how these algorithms are integral to the architecture of efficient graph databases. We will delve into the advanced functionalities and strategic implementations of knowledge graphs, illustrating their essential role in integrating disparate data sources, empowering AI applications including generative AI, and enhancing business intelligence.

Join us to navigate the complexities and opportunities this dynamic field presents, ensuring you remain at the cutting edge of technology and continue to drive significant advancements in your projects and enterprises.

Target Audience

• Software Architects & System Designers – Looking to integrate graph technologies into scalable, intelligent systems.
• AI/ML Practitioners – Seeking ways to improve LLM outputs with context-rich knowledge graphs.
• Data Engineers & Developers – Building or managing graph-powered applications and databases.
• Tech Leaders & Innovators – Driving AI transformation and data unification initiatives within organizations.