DataRobot Blog

APRIL 29, 2022

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

Risk 111

Risk Modeling IT Risk Management 111

Smart Data Collective

MAY 4, 2023

Unfortunately, there are often many weak links in the data security infrastructure, which can increase the risks of data breaches. However, the Identity Theft Resource Center reports a 68% increase in data breaches at corporations in 2021, surpassing the previous record rise of 23% in 2017.

Risk Management 78

Risk Management Key Performance Indicator Measurement Risk 78

John Wheeler

JULY 15, 2019

Gartner kicked-off it’s global series of 2019 Security & Risk Management Summit Conferences last month in Washington, DC. It’s here where we receive direct feedback from both technology providers as well as end-users on emerging trends and technologies for security and risk management. Source: Gartner.

Risk Management 60

Risk Management Risk Forecasting Management 60

IBM Big Data Hub

FEBRUARY 8, 2024

However, it wasn’t until the 1990s that ESG considerations started to appear in mainstream investment strategies. 1 Slowly but surely, institutional investors started to recognize that companies could potentially improve financial performance and risk management by focusing on ESG issues like greenhouse gas emissions.

Measurement 90

Measurement Metrics Reporting Strategy 90

IBM Big Data Hub

AUGUST 1, 2023

We are bringing the power of foundation models with the availability of a GPU as a service on IBM Cloud offering to help organizations tap into artificial intelligence (AI) in a secured environment while aiming to mitigate third- and fourth-party risk.

Digital Transformation 70

Digital Transformation Risk Data Processing Enterprise 70

O'Reilly on Data

JANUARY 22, 2019

Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. Time-variant distributions for asset values and risks are the rule, not the exception. The Money Formula , by David Orrell and Paul Wilmott, Wiley, 2017.

Modeling 134

Modeling Finance Uncertainty Data mining 134

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98