Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Data-driven 108

Data-driven Manufacturing Insurance Risk Management 108

Cloudera

MARCH 18, 2021

From a data management point of view, FRTB’s requirements will require greatly increased quantities of historical data, along with an increased need for analysis and intensive computation against this data. . And there will be expansions on the requirements for managing and monitoring both data lineage and data security.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66