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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.

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Maximizing Supply Chain Agility through the “Last Mile” Commitment

Cloudera

Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels. Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability.

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Real estate CIOs drive deals with data

CIO Business Intelligence

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers. billion in 2022.

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The most valuable AI use cases for business

IBM Big Data Hub

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

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How To Transform The Customer Journey With AI And Big Data

Smart Data Collective

Econsultancy and Adobe asked B2B companies to report on what the most exciting opportunity for growth in 2020 is and the leading answer was, “customer experience.” What is Big Data? Big data describes large amounts of structured or unstructured data that is collected by a business during daily activities.

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The state of data quality in 2020

O'Reilly on Data

They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. Nearly one-quarter of respondents work as data scientists or analysts (see Figure 1). An additional 7% are data engineers. Some other common data quality issues (Figure 4)—e.g.,

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Data Virtualization: The Essential Tool for Security and Governance Manage Diverse Data Sources from a Single Point of Control

Corinium

This brief explains how data virtualization, an advanced data integration and data management approach, enables unprecedented control over security and governance. In addition, data virtualization enables companies to access data in real time while optimizing costs and ROI.