Mohammed Aaser | Future Of Enterprise Data Management
KGC 2021
•
24m
Many organizations have initiated data and analytics transformations with some success, however are beginning to face challenges in scaling efforts beyond a handful of applications/use cases. One of the major barriers remains around data management, including challenges with data transparency, integration, quality, and accessibility. Data products represent the next wave of progress for the enterprise – defining explicit shared meaning around data; designed with scale and value capture in mind. In the talk, we walk through the challenges faced today and propose an approach to develop and maintain data products - including the team, funding model and use of knowledge graphs.
Up Next in KGC 2021
-
Zhamak Dehghani | Introduction To Dat...
For over half a century organizations have assumed that data is an asset to collect more of, and data must be centralized to be useful. These assumptions have led to centralized and monolithic architectures such as data warehousing and data lake, and neither of which have been able to enable data...
-
Peter Hicks | Visualizing Data Lineage
Extracting metadata from data pipelines and building useful graphs for real production environments.
-
Steven Gustafson | Connecting The Dot...
Knowledge graphs provide a way for us to capture and relate information into a representation that can mimic expert knowledge. One type of expert knowledge that has proven to be particularly useful in industry is reasoning by analogy, or using a replacement problem and solution pair to think abo...
