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How Nvidia became a trillion-dollar company

CIO Business Intelligence

It was when Nvidia reported strong results for the three months to April 30, 2023, and forecast that its sales could jump by 50% in the following fiscal quarter, that its stock market valuation soared, catapulting it into the exclusive trillion-dollar club alongside well-known tech giants Alphabet, Amazon, Apple, and Microsoft.

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How to Follow New OECD Guidance on Transfer Pricing

Jet Global

Given this timeframe, the OECD has recently published a report with the aim of assisting transfer pricing teams on best practices to follow given the current climate. For both, the risks and costs associated with disputes are high. This is a key factor when considering and interpreting the content of the report.

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How to Decide Whether a SaaS Tool is Worth Purchasing?

Smart Data Collective

A Computer Economics survey reports that 60% of organizations have now integrated some SaaS solutions into their operations, with approximately 36% planning to expand their investment in the coming months. It was launched as a paid service and went on to add a freemium option in 2009, growing its user base from 85,000 to 450,000 a year.

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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015.

IT 76
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12 famous ERP disasters, dustups and disappointments

CIO Business Intelligence

Panorama Consulting Solutions, which regularly surveys businesses on the outcomes of their ERP projects, shows in its 2022 report that 81% of projects met ROI expectations a year or more after go-live. While we weren’t naïve to the risk of disruption to the business, the extent and magnitude was greater than we anticipated.”

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

Domino Data Lab

Auxiliary techniques like relying on card holders to report fraudulent transactions have unfortunately proven to be ineffective [1]. This is to prevent any information leakage into our test set. 2f%% of the test set." 2f%% of the test set." Fraudulent transactions are 0.17% of the test set. Model training.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.