Remove Cost-Benefit Remove Machine Learning Remove Publishing Remove Unstructured Data
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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 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

Turns out, exercise equipment doesn’t provide many benefits when it goes unused. The same principle applies to getting value from data. Organizations may acquire a lot of data, but they aren’t getting much value from it. You lose that add-on value when you throw data away. .

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Forrester Does the Math on the ROI of the Alation Data Catalog

Alation

At some level, every enterprise is struggling to connect data to decision-making. In The Forrester Wave: Machine Learning Data Catalogs, 36% to 38% of global data and analytics decision makers reported that their structured, semi-structured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.

ROI 52
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Taking out the threat from the inside

Cloudera

This conventional approach also employs a Relational Database Management System (RDBMS) technology, which, however, falls short in meeting current business demands for scalable, flexible and cost-efficient solutions to insider threat. Extendable : Continued innovation, learning, and application of best practices to insider threat programs.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. He holds a PhD on data management in the cloud.

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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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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Newly published research shows that companies aren’t getting the most out of their analytics. 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.