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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

But this kind of virtuous rising tide rent, which benefits everyone, doesn’t last. Back in 1971, in a talk called “ Designing Organizations for an Information-rich World ,” political scientist Herbert Simon noted that the cost of information is not just money spent to acquire it but the time it takes to consume it. “In

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Generative AI’s most noble mission: Improving and saving lives

CIO Business Intelligence

In 2005, it took six years to sequence the full human genome. McKinsey estimates that research and development gains from generative AI can save 10-15% of costs. Researchers can also benefit from AI’s natural language processing capabilities to rapidly analyze substantial amounts of medical literature.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. Process incremental data using insert, update, and delete SQL statements in Athena Athena is a serverless query engine that you can use to perform read, write, update, and optimization tasks against Iceberg tables.

Data Lake 116
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Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

Rokita has been with Edmunds for more than 18 years, starting as executive director of technology in 2005. That change has not only helped bring costs down, Rokita says it’s also made things easier to manage operationally. Now, without development costs we can share a data set with them and they can share a data set with us.

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Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

Read on to find out how Measuremen optimizes workspace utilization, Skullcandy minimizes product returns, and Air Canada improves airline safety. Measuremen: Optimizing facilities use with data from numerous sources. How does it work in real life?

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What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. For more information on the benefits of the latest version of ITIL, see “ ITIL 4: ITSM gets agile.”.

IT 101
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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

We talked about the benefits of AI for consumers trying to improve their own personal financial plans. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. You can find a discussion on the benefits of machine learning for risk parity at the end of this article.