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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.

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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

In our testing, the dataset was stored in Amazon S3 in non-compressed Parquet format and the AWS Glue Data Catalog was used to store metadata for databases and tables. Testing on the TPC-DS benchmark showed an 11% improvement in overall query performance when using CBO compared to without it.

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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

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. The signatories committed to working together to help achieve the UN’s SDGs—a pledge that would be put to the test come 2020.

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What is ArchiMate?

erwin

Originally based on IEEE 1471 , ArchiMate was developed in the Netherlands as a joint venture between private industry and the Dutch Government between 2002 and 2004. It’s tried and tested from an enterprise perspective and an in-demand certification for enterprise architects, so there are relatively low risks associated with adopting it.

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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. Topics might be the technology environment and data environment that’s necessary to be able to test this concept quickly and early. The second mega force is the labor market. Then you’re ready to scale.

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7 famous analytics and AI disasters

CIO Business Intelligence

MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. In a statement on Oct.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

In their 2002 paper Chawla et al. 2002) have performed a comprehensive evaluation of the impact of SMOTE- based up-sampling. Their tests are performed using C4.5-generated 2002) provide an example that illustrates the modifications. Generation of artificial examples. Chawla et al., Chawla et al., O2 = {4,6,5,A,D,E}^T.