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Quantexa 2: Advanced Capabilities to Make Your Data Meaningful
Since introducing the first version of Quantexa’s platform two years ago, our company, customers, and product have come a long way. Yet our mission has remained the same: to help organizations make their data meaningful. To ensure we continue to improve our platform by simplifying the complexity that comes with analyzing…
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Unlocking Insight from Adverse Media Using Contextual Search for Unstructured Data
Today, unstructured data accounts for up to 90% of all generated data and is growing at an average rate of 60% each year. This makes it more important than ever for organizations to find innovative ways of managing and analyzing that data so they can utilize it effectively to enrich investigations and make trusted business…
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Data Quality & the Importance of Reliable Data
Data quality is the measurement of data in terms of accuracy, completeness, consistency, validity, uniqueness and timeliness. It enables businesses and organizations to quantify and better manage their data. Machine learning (ML) is one of the biggest value-adds for businesses, and at the heart of every machine learning…
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Leveraging Geospatial Data for More Intelligent Decision-Making
There are billions of records streaming continuously from the likes of satellites, wi-fi access points, hand-held devices, and aerial and ground-level sensors. Geospatial data is more available than ever, with recent estimates of the location-based services markets suggesting it could be worth $30B by 2027, expanding at a…
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Generating a Holistic View of Legal Hierarchies Using Context
In recent years, regulators have tightened their requirements for tackling money laundering and terrorist financing. Fraudsters often use offshore accounts and complex corporate structures to circumvent the law and mask their criminal activities. But to outpace bad actors, organizations need to better understand the…