Machine LearningTechnology & IT

A breakthrough in the field of natural language processing (NLP) has been achieved with the Cortical.io Retina engine, which elegantly solves numerous text-data processing problems faced by big businesses. The Retina engine surmounts the obstacles in dealing with terabytes of unstructured text data, thanks to a unique algorithm that is

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Artificial IntelligenceHealthcare

The power of Algorithms to calculate, contemplate and anticipate the needs of patients is improving rapidly and still has no sign of slowing down. Everything from patient diagnosis to therapy selection will soon be moving at exponential rates. Does that mean the end of doctors? Not quite. To better understand

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Big DataData ScienceTechnology & IT

Image: SAP Cloud Platform Hadoop is a Java-based, open source framework that supports companies in the storage and processing of massive data sets. Currently, many firms still struggle with interpreting Hadoop’s software and are doubtful about whether or not they can depend on it for delivering projects. Even so, it’s

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FinanceFinTech

The financial technology field is rapidly expanding, but remains in flux and continues to be unpredictable. Fintech’s use of AI, algorithms, and modern technologies can transform traditional banking, but still faces some resistance.  Some fintech companies are finding billion-dollar markets in the gaps left by outmoded banking services. Nevertheless, there are still

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Data NativesEventsFeaturedNewsTech Trends

It’s that time of year again.  Data Natives is ramped up and ready to go for its most impressive lineup of speakers to date.  Whether focused on the fastest growing developments in fields such as FinTech and AI or examining the many minute ways that data sets can affect individuals,

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Cybersecurity

  Semantic Graph Databases are now common in many industries, including life sciences, healthcare, the financial industry and in government and intelligence agencies. Graphs are particularly valuable in these sectors because of the complex nature of the data and need for powerful, yet flexible data analytics. Attributes, user attributes and

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