In an era where data is the lifeblood of innovation, building modular, distributed, composable, and sustainable socio-technological architectures is essential. Managing data alone is not enough; we must also manage the domain-specific knowledge required to interpret, use, and integrate it effectively to support business strategy objectives. This talk explores a paradigm shift that integrates advanced knowledge frameworks into data management practices, enabling organizations to transform raw data into actionable insights with unprecedented accuracy and speed.

We will will explore the core principles of knowledge-driven data management, including the utilization of artificial intelligence and machine learning to enhance data processing, the implementation of semantic technologies to improve data interoperability, and the adoption of knowledge graphs to create a more connected and intelligent data ecosystem.

Join us to discover how embracing a knowledge-driven approach to data management can empower your organization to harness the full potential of its data, driving innovation and achieving strategic objectives in today’s VUCA world.