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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. But over time, something went very wrong. These companies did continue to innovate.

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The case for predictive AI

CIO Business Intelligence

It leverages techniques to learn patterns and distributions from existing data and generate new samples. GenAI models can generate realistic images, compose music, write text, and even design virtual worlds. The critical characteristic of GenAI is its ability to explicitly create something that does not exist in the training data.

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ISO 20022: Are your payment systems ready?

IBM Big Data Hub

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages. ISO 20022 drives improved analytics and new revenue opportunities ISO 20022 enables more sophisticated payment analytics by providing a richer data set for analysis.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Data enables Innovation & Agility. Risk Management.

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How to use DSPM to reduce cloud storage costs: a guide on how to identify and delete redundant, obsolete, or trivial data in cloud environments using DSPM tools

Laminar Security

This type of data, which often accumulates unnoticed, can significantly inflate cloud storage costs. By using DSPM tools to pinpoint and remove ROT data, businesses can both reduce their storage needs and also streamline their operations while minimizing the risk of data breaches.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.