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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. Using that speed and intelligence together with various data sets and use cases, TGen translates lab discoveries into better patient treatments at an unprecedented pace. McKinsey estimates that research and development gains from generative AI can save 10-15% of costs.

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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. His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams. Often, we want to share data between each other,” he says.

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

AWS Big Data

How Apache Iceberg addresses what customers want in modern data lakes More and more customers are building data lakes, with structured and unstructured data, to support many users, applications, and analytics tools. Data scanned (MB) 494.06 Query Before Data Compaction After Data Compaction Runtime (seconds) 97.75

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Despite cost-cutting being the main reason why most companies shift to the cloud, that is not the only benefit they walk away with. Cloud washing is storing data on the cloud for use over the internet. While that allows easy access to users, and saves costs, the cloud is much more and beyond that.