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Top Cloud Data Security Statistics for 2023

Laminar Security

We’ve gathered some interesting data security statistics to give you insight into industry trends, help you determine your own security posture (at least relative to peers), and offer data points to help you advocate for cloud-native data security in your own organization.

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KPI Management And Best Practices: How To Find The Perfect KPI Solutions?

datapine

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices?

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AzureML and CRISP-DM – a Framework to help the Business Intelligence professional move to AI

Jen Stirrup

Data Science – Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. This may also involve the generation of a preliminary plan designed to deliver the business objectives. What are we trying to achieve?

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Citizen Data Scientists Are Key. So Is the Solution They Use.

Smarten

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If

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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

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Cloud migration best practices: Optimizing your cloud migration strategy 

IBM Big Data Hub

Businesses are increasingly embracing cloud infrastructure due to its scalability, flexibility and cost-effectiveness, among other benefits. Recent statistics indicate a significant rise in companies adopting cloud services to meet their operational and cost saving needs.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

These methods provided the benefit of being supported by rich literature on the relevant statistical tests to confirm the model’s validity—if a validator wanted to confirm that the input predictors of a regression model were indeed relevant to the response, they need only to construct a hypothesis test to validate the input.

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