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Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In 2021, cloud databases accounted for 85% 1 of the market growth in databases.

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Data Modeling 301 for the cloud: data lake and NoSQL data modeling and design

erwin

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

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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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Ontotext Invents the Universe So You Don’t Need To

Ontotext

The ability to define the concepts and their relationships that are important to an organization in a way that is understandable to a computer has immense benefits. Data and content are organized in a way that facilitates discoverability, insights and decision making rather than be bound by limitations of data formats and legacy systems.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. Data Lifecycle Connection. Security & Governance Leadership.

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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Big Data Hub

Behind the scenes, a complex net of information about health records, benefits, coverage, eligibility, authorization and other aspects play a crucial role in the type of medical treatment patients will receive and how much they will have to spend on prescription drugs.