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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

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CIO insights: What’s next for AI in the enterprise?

CIO Business Intelligence

“Our internal data and adherence to process is where our focus is, and we don’t necessarily want to leap ahead until we feel like we have a stable footing there.” Ensuring data integrity is part of a broader governance approach organizations will require to deploy and manage AI responsibly. Artificial Intelligence

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels. Data Integration : One of the fundamental aspects to consider is the ability of BI platforms to seamlessly integrate data from various sources.

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Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. There are at least four major ways for data scientists to find bugs in ML models: sensitivity analysis, residual analysis, benchmark models, and ML security audits. Data augmentation.

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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Director of software engineering.

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