Cost-Benefit Machine Learning Publishing Unstructured Data 
CIO Business Intelligence
JULY 10, 2023
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.
Ontotext
MAY 22, 2023
This is the case with the so-called intelligent data processing (IDP), which uses a previous generation of machine learning. LLMs do most of this better and with lower cost of customization. With traditional data management systems, that can be difficult or in some cases can lead to more work than results.
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CIO Business Intelligence
MARCH 29, 2022
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. .
Alation
FEBRUARY 13, 2020
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.
Cloudera
NOVEMBER 18, 2021
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. And this year has seen some truly remarkable work put forward.
Jet Global
MAY 9, 2024
Data Migration Pipelines : These pipelines move data from one system to another, often for the purpose of upgrading systems or consolidating data sources. For example, migrating customer data from an on-premises database to a cloud-based CRM system. structured, semi-structured, or unstructured data).
Cloudera
SEPTEMBER 7, 2018
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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