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Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Boris Evelson

Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb! Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms.

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Impressive Ways that AI Improves Business Analytics Insights

Smart Data Collective

This means feeding the machine with vast amounts of data, from structured to unstructured data, which will help the device learn how to think, process information, and act like humans. As unstructured data comes from different sources and is stored in various locations.

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Why Financial Services Firms are Championing Natural Language Processing

CIO Business Intelligence

NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. In large financial services organizations, this data includes everything from earnings reports to projections, contracts, social media, marketing, and investments. Just starting out with analytics? Putting NLP to Work.

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Building a Beautiful Data Lakehouse

CIO Business Intelligence

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

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Predictive Analytics Improves Trading Decisions as Euro Rebounds

Smart Data Collective

Modern investors have a difficult time retaining a competitive edge without having the latest technology at their fingertips. Predictive analytics technology has become essential for traders looking to find the best investing opportunities. This has tremendous promise for traders.

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The Incredibly Important Role Of Big Data In Academia

Smart Data Collective

In the article, you will find a number of areas where Big Data in education can be applied. To Begin with….

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Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.