Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management.

Risk 94

Risk Marketing Risk Management Data-driven 94

AWS Big Data

JANUARY 31, 2024

Athena for Apache Spark For analytical endeavors, Athena for Apache Spark offers a simplified notebook experience accessible through the Athena console or Athena APIs, allowing you to build interactive Apache Spark applications. After your notebook is created, you will be redirected to the interactive notebook editor.

Marketing 86

Marketing Analytics Visualization Strategy 86

CIO Business Intelligence

MAY 17, 2022

A few years ago, the leadership realized that the banking industry is going to be dominated by great tech companies that manage risk exceptionally well. Risk management was always one of the core foundations of the company. The biggest thing we did was data testing.

ROI 52

ROI Risk Marketing Modeling 52

O'Reilly on Data

OCTOBER 18, 2022

As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. AI audits and assessments may focus on bias issues or other serious risks including safety , data privacy harms , and security vulnerabilities. For our audits, BNH.AI

Risk Management 291

Risk Management Risk Testing Measurement 291

DataRobot Blog

DECEMBER 20, 2022

We’ll then empirically test this assumption based on an example of real estate asset assessment. By using this model, all accuracy metrics would also comply with national valuation regulations —as defined by the Bank of Spain. Consume Results with DataRobot AI Applications.

Management 59

Management Machine Learning Optimization Modeling 59

Grooper

OCTOBER 23, 2019

I get to interact with a lot of companies who are on the leading edge of brilliant use-cases for innovating processes and workflows with data. Can you see how information management will transform data into a legitimate asset that fuels enterprise-wide goals? What metrics and goals do you have for information management?

Metrics 59

Metrics Measurement Strategy Optimization 59

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Capacity and Performance Management X X. Incident Management X X. Monitoring and Event Management X X.

Management 79

Management Risk Measurement Optimization 79

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Storytelling is a nice one to use early on to test the approach. Saul Judah is our main person focusing on D&A risk management. Governance. Architecture. Yes, and no.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52