AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. The calculation methodology and query performance metrics are similar to those of the preceding chart.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

Octopai

JULY 9, 2020

One example is the lineage methods that the banking industry has adopted to comply with regulations put in place following the 2007 financial collapse. It required banks to develop a data architecture that could support risk-management tools. A key piece of legislation that emerged from that crisis was BCBS-239.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

Octopai

APRIL 8, 2020

The worldwide economy was shaken in 2007 when the United States stock market had its largest drop since the Great Depression. While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

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. The ability to measure results (risk-reducing evidence). Frédéric Kaplan, Pierre-Yves Oudeyer (2007). Large-Scale Study of Curiosity-Driven Learning”.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66