Remove 2019 Remove Data Warehouse Remove Experimentation Remove Risk Management
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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

For a large volume of structured data, for example, a customer master or data warehouse, where there are many stakeholders in your organization who need to see different subsets, tokenization is generally better. What are you most looking forward to about CDAOI Insurance 2019?

Insurance 150
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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams.