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You can't personalize siloed data.
The second problem is around siloing data across different campaigns.
Siloed data.
Siloed data won't work, according to Cox.
Does data flow smoothly between your organization's teams or departments, or is the data siloed?
But progress has been slow because organizations see keeping patient data siloed as a competitive advantage.
Many enterprises still find their data siloed in different parts of the organization.
These data are siloed at each hospital, complicating the process of compiling and integrating enterprise-wide data.
If your ROI is multiples over the silo-based environment, and the cost of getting there is only a fraction of that, it makes a lot of sense.
Furthermore, each of these data repositories is siloed and inherently incapable of providing a platform for global data transparency.
We need to create industry and regulatory environments in which autonomous vehicle companies compete based upon the quality of their technology — not just upon their ability to spend hundreds of millions of dollars to collect and silo as much data as possible (yes, this is how much gathering this data costs).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com