Semantic Layers for On-Demand Data Access

Smart Data Lake platforms providing semantic layers are automating data access and data management for accelerated insight. These platforms, based on knowledge graphs, allow organizations on-demand...

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Using a Semantic-Based Solution for GDPR Compliance

May 25, 2018 has become a sword of Damocles hanging over the heads of any companies conducting business within European Union (EU) countries. Because that’s when the EU’s General Data Protection...

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Meaning – The Conqueror of Most Maladies

A biomedical professional is certain to have come across some variant of the headlines mentioned in the visual above. Combinations of trending buzzwords in technology and healthcare form half of my...

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No Decisions Until It's Time

Superior decision making is an essential aspect of life, whether it be in business, national security, health, environment, and every other aspect of human existence. Look no further than...

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Leveraging Semantic Web Technologies to Create Information on Demand

Real-world events demonstrate our inability to understand rapidly and accurately what we already know. In other words, we cannot answer questions completely, despite the fact that we may hold the...

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[Slideshare] Applying Data Engineering and Semantic Standards to Tame the "Perfect Storm" of Data Management

The financial industry is facing a perfect storm of disruptive drivers for data management. While regulators seek accuracy and transparency, institutions are struggling with fragmented data and IT...

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Q&A with Sam Chance, Our New Managing Director of Pre-Sales

We’d like to introduce you to the newest member of our team, Sam Chance, who has joined us as managing director of pre-sales. In this newly created position, Sam will work closely with the sales and...

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Smart Data Analytics

Conventional data analytics utilizes dashboards, visualizations, search, and other tools to determine appropriate data for integrated, targeted use cases. Smart data analytics techniques, on the...

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Semantics 101

Comprehending semantic technology is no longer an arduous task for the back offices of data-savvy organizations. Business users and C-level executives are starting to comprehend the basics of the...

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Enabling Data Scientists by Reducing the Burden of IT

The cliches are well known by now: data scientists spend the majority of their time simply preparing data for analytics, inheriting the responsibilities of IT teams that traditionally took months to...

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