Data Discovery for ML Engineers
Real-world production ML systems consist of two main components: data and code. Data is clearly the leader, and rapidly taking center stage. Data defines the… Read More »Data Discovery for ML Engineers
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Knowledge Engineering
Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
DSC Weekly Newsletter 22 March 2022: The Shape of Data
It is easy, when dealing with data, to think of it as something tangible. More precisely, data as water (or as oil) has become such… Read More »DSC Weekly Newsletter 22 March 2022: The Shape of Data
Avoid RegTech myopia with a data-centric approach
The US Securities and Exchange Commission (SEC), which regulates public company securities, recently proposed its own climate impact reporting requirement. Many US public companies already… Read More »Avoid RegTech myopia with a data-centric approach
The long game: Feedback loops and desiloed systems by design (Part II of II)
The previous post covered the problem of oversiloing. Systems thinking, I pointed out, can help reduce the practice of siloing when it’s not necessary. In… Read More »The long game: Feedback loops and desiloed systems by design (Part II of II)
Tips for Weaving and Implementing a Successful Data Mesh
For years, organizations have been working steadily to consolidate their data into a single place via a data warehouse, or more recently, a data lake.… Read More »Tips for Weaving and Implementing a Successful Data Mesh
Why do you need a metadata management system? Definition and Benefits.
In the past, Metadata Management is used to know how to use data catalog to find simple data or a book or a periodical in… Read More »Why do you need a metadata management system? Definition and Benefits.
DSC Weekly Digest 01 March 2022: Taxonomists Classify, Ontologists Conceptualize
We’re moving at the Cagle house and we’re discovering that, after eight years of living at the same place, one family can collect a lot… Read More »DSC Weekly Digest 01 March 2022: Taxonomists Classify, Ontologists Conceptualize
The Hybrid to Give Your AI the Gift of Knowledge
Data Points Hybrid AI is already overcoming the limitations of single technique approaches Symbolic AI understands actual knowledge, not just data Hybrid solutions open the… Read More »The Hybrid to Give Your AI the Gift of Knowledge
Ten years of Google Knowledge Graph
It’s been ten years since Google (now a child of holding company Alphabet) coined the term “knowledge graph” and described (in general terms) how their… Read More »Ten years of Google Knowledge Graph
DSC Weekly Digest 22 February 2022: Graphology
In the last couple of months, I’ve been noticing a gradual shift in the kind of articles that we receive at Data Science Central. We… Read More »DSC Weekly Digest 22 February 2022: Graphology