Semantic Layer Symposium – Malcolm Hawker

Earlier this year, the Semantic Layer Symposium in Munich brought together industry leaders, data scientists, and Knowledge Management (KM) experts to explore cutting-edge developments in data integration and AI-driven insights. This groundbreaking event fostered lively discussions on the future of semantic layers, knowledge management, and the role of AI in transforming data practices. We’re excited to release these discussions for viewing, offering insights from top voices in the field and paving the way for innovative applications of semantic layer technology.

In this presentation, Malcolm Hawker, the CDO of Profisee, delves into the evolving landscape of data management, emphasizing the shift from traditional data practices toward a future-oriented KM framework. Drawing from his extensive experience in Master Data Management (MDM) and analytics, he highlights the need to bridge the historical divide between structured data management and emerging knowledge-centric approaches. By employing a metaphor from hockey legend Wayne Gretzky—”skate to where the puck is going”—Malcolm underscores the importance of forward-thinking in data strategy.

The talk explores several transformative trends, particularly the disruptive influence of AI and large language models (LLMs) on data systems. He discusses the potential for a “next-generation semantic layer,” which would act as a bridge between structured, rule-based data and unstructured, knowledge-driven insights powered by AI. This layer, he suggests, could lead to significant automation in data governance and management, enabling AI-driven processes to inform business decisions with minimal human intervention.

Malcolm concludes by encouraging a proactive approach, advocating for organizations to experiment and adopt agile methodologies in data and AI projects. He stresses the importance of evolving data governance practices and adapting mindsets to keep pace with AI advancements, positioning KM as the future paradigm in the data and analytics field.

 

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