Data fabric is the next level of maturity for data integration, and it can make very effective use of knowledge graph technology.
The ease of integration that's foundational to composability supports low-code or no-code application building by automating measures that redress differences in data models and semantics.
Flexibility, agility, and the ability to pivot continue to be essential characteristics of winning companies. Organizations must have the right tools and products so they can break down information silos, better understand the experiences of their customers and employees, uncover trends, expand collaboration, deploy AI and machine learning appropriately, and take advantage of automation to lighten the burden of mundane, repetitive tasks.
With the large volumes of data available, patterns can be detected that would not be revealed by monitoring individual pieces of equipment.