In my last column, I wrote about the emerging research on the impact of generative AI on the ability of people in ...
AI has moved far beyond the experimental stage. Across industries, organizations are proving that AI can deliver measurable ...
Artificial intelligence companies are exploring locating their data centers on satellites. Satellites address many of the ...
Chief Strategy Officer at AllCloud and a Salesforce.com Certified Technical Architect. With a Master’s in Computer Science from Georgia Tech, he brings 12+ years of experience in cloud strategy, data ...
Every once in a while, a book comes along that contains such innovative ideas that I find myself whispering “wow”… ...
It would be hard to imagine a data model that didn’t include persons, either as individuals or as groups. Models contain people in one of two ways: as organizational structures or as playing roles in ...
We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades ...
This is the first of a regular series of columns from Dave McComb. Dave’s column, The Data Centric Revolution, will appear every quarter. Please join TDAN.com in welcoming Dave to these pages and stop ...
Our reactions to the data we receive can cause a great deal of suffering. For example, there was a hospital with an outstanding reputation for being trusted at a deep level by many families. They used ...
IoT data management includes the practices, technologies, and policies involved in managing data generated by IoT devices. Management tasks include the collection, storage, analysis, and sharing of ...
There is a movement in the business and academic worlds to consider relabeling the name of the long-time data discipline of “Data Governance” to “Data Enablement”. Usually, when someone tells me ...
We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data warehouse, due ...
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