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. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

Data Warehouse 122

Data Warehouse Dashboards Risk Management Risk 122

Cloudera

OCTOBER 20, 2021

Firms face critical questions related to these disclosures and how climate risk will affect their institutions. What are the key climate risk measurements and impacts? How do institutions protect and optimize their balance sheets and portfolios? Stress testing was heavily scrutinized in the post 2008 financial crisis.

Risk 78

Risk Modeling Risk Management Measurement 78

CIO Business Intelligence

MARCH 22, 2022

Chandegara has over 20 years’ experience in managing IT and communication systems. He has assisted the top management in planning IT strategies and leveraging technologies for rationalizing manpower, enhancing organizational productivity, and improving the efficiency of operations. February 2022. Amit Goel joins Blox as CTO.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). model re-training).

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Smart Data Collective

FEBRUARY 28, 2023

However, before we get started, we will provide an overview of the concept of risk parity. You can find a discussion on the benefits of machine learning for risk parity at the end of this article. What is risk parity? Risk parity is a portfolio management strategy that distributes risk benefits and disadvantages.

Machine Learning 85

Machine Learning Risk Cost-Benefit Marketing 85

John Wheeler

MARCH 30, 2020

Integrated Risk Management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. These efforts demonstrate the rising need for an integrated approach to risk management and highlight the following four IRM market trends.

Marketing 59

Marketing Risk Management Risk Digital Transformation 59

Cloudera

JUNE 23, 2021

A prominent example was seen in 2008, when a drought in key grain-producing regions—combined with rising biofuel demand, high oil prices, decreasing grain stocks, and the depreciation of the U.S. When deployed smartly, data can help manage the disruption associated with such natural events. dollar—led to a spike in global grain prices.

Insurance 52

Insurance Risk Modeling Risk Management 52