Remove 2002 Remove Risk Remove Strategy Remove Testing
article thumbnail

PCI compliance: The best defense is a great defense

CIO Business Intelligence

PCI DSS compliance is a robust defense that significantly mitigates the risks involved with all three. Cybersecurity experts at Verizon Consulting Services draw on hands-on experience in solving payment card security challenges dating back to the formation of the PCI security regulation in 2002.

article thumbnail

The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Top 10 governance, risk, and compliance certifications

CIO Business Intelligence

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. Enter the need for competent governance, risk and compliance (GRC) professionals. What are GRC certifications? Why are GRC certifications important?

Risk 117
article thumbnail

Former Amazon exec John Rossman on delivering big bets

CIO Business Intelligence

He was an early Amazon executive himself, with key responsibilities in launching the Amazon Marketplace business in 2002. You focus on strategy and execution, innovation and optimization. Sometimes this is called a platform strategy. What about your career path has helped you develop this dual focus?

article thumbnail

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

In their 2002 paper Chawla et al. propose a different strategy where the minority class is over-sampled by generating synthetic examples. 2002) have performed a comprehensive evaluation of the impact of SMOTE- based up-sampling. Their tests are performed using C4.5-generated Generation of artificial examples.

article thumbnail

Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

Domino Data Lab

Rules-based fraud detection (top) vs. classification decision tree-based detection (bottom): The risk scoring in the former model is calculated using policy-based, manually crafted rules and their corresponding weights. This is to prevent any information leakage into our test set. 2f%% of the test set." Feature Engineering.

article thumbnail

Unintentional data

The Unofficial Google Data Science Blog

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?