The cloud services are on demand as a service in which the users gain the access to utilities services and also the enforcement of security, privacy and access controls. The "data analytics as a Service" techno
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This is even more critical when the configuration of security controls is let to the security expert, who often has only basic skills in data science. In this paper, we propose a solution based on the concept of Model-Based Big Data Analytics-as-a-Service (MBDAaaS) that bridges the gap ...
Analytics‐as‐a‐service Compared to data and information-as-a‐service, analytics-as-a‐service is a relatively newer concept in the business world. Complexity of model management, development of service-based analytic models and standardizing the interfaces between the models are among the unique...
Data Analytics as a Service (DAaaS) Others* Services Based on Deployment Type: Public Cloud Hybrid Cloud Private Cloud Based on Organization Size: Small and Medium-sized Enterprises (SMEs) Large Enterprises Based on Industry Vertical: Banking, Financial Services and Insurance (BFSI) ...
Data residency and data sovereignty for AI, Analytics, and Apps. Localize customer, patient, and workforce data from China to Saudi Arabia to Germany. InCountry forIdentity InCountry’s profile data residency secures customer profile fields in their country of origin. Avoid the cost and burden of...
“… the projects McKinsey works on matter,” says NYC-based McKinsey data science alum Josh. Now a Facebook healthcare-analytics lead, he shares in these videos how his meaningful analytics work delivering a life-saving drug, diverse teams of technologi
Data and Insights Intern Alex Kramer reflects on his path at Hoffman, exploring how he's combined his passions for storytelling and analytics.
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A typical example is a large banking group that is forced to halt all development of advanced-analytics algorithms that use payment data because the legal team has considerable doubts regarding GDPR compliance. One popular remedy is to automate security e...