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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

(P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform. Smart manufacturing at scale.

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IoT security: Challenges and best practices for a hyperconnected world

CIO Business Intelligence

The expanding attack surface The IoT revolution is reshaping industries from precision agriculture to autonomous vehicles, from remote healthcare to predictive maintenance in manufacturing. Distributed ledgers can secure device identities, ensure data integrity and provide immutable audit trails. Quantum encryption.

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4 Common Data Integrity Issues and How to Solve Them

Octopai

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

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Bigeye Enable Monitoring, Quality and Lineage of Data

David Menninger's Analyst Perspectives

Data observability software automates the detection and identification of the causes of data quality problems, potentially enabling users to prevent data quality issues before they occur. Data

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What is data architecture? A framework to manage data

CIO Business Intelligence

A modern data architecture needs to eliminate departmental data silos and give all stakeholders a complete view of the company: 360 degrees of customer insights and the ability to correlate valuable data signals from all business functions, like manufacturing and logistics. Provide user interfaces for consuming data.

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The quest for high-quality data

O'Reilly on Data

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Data integration and cleaning.

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What Is Hyperautomation?

O'Reilly on Data

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Some of these tasks have been automated, but many aren’t.