Executive summary
In an increasingly complex and data-driven business landscape, the dual imperatives for C-level leaders are clear: optimize existing operations and drive innovation. Despite significant investments in cutting-edge technologies like data lakes, artificial intelligence and agile frameworks, many organizations find that the actual value generated is lagging behind expectations. While data is abundant in current architectures, knowledge is not — and data itself is only meaningful to those who created it and can interpret it.
We propose a multi-faceted approach that combines the power of human expertise that holds this knowledge, with technological innovation. At the heart of this strategy is a semantic knowledge graph facilitating a smooth transition into a truly knowledge-centric future.
Key takeaways
