(Cary, N.C.) Saffron Technology, Inc., a privately held big data software analytics firm has secured a patent for its new predictive analytics invention. Many of Saffron’s previous patents and products have been focused on its entity analytics, connecting and counting the people, places, and things in Big Data. US Patent # 8,160,981 B2 entitled “Event-Based Anticipation Systems, Methods and Computer Program Products for Associative Memories Wherein Times of Future Events Occurring Are Predicted” addresses predictive analytics by associating events to each other in order to anticipate yet other, future events.
By re-applying Saffron’s “Three Cs” (connections and counts in context) to complex event patterns, Saffron “moves prediction beyond noise and inaccuracy of pair-wise associations and into the greater accuracy of triple-wise associations,” states Dr. Manuel Aparicio, CEO of Saffron Technology. “In entity analytics a mere association between two people can be irrelevant unless you also know the context: how are two people connected. John’s interactions with Fred might be only about golf and never about business. The same is true of events. Knowing that one event tends to follow another event – in general – can be misleading without also knowing when one event is correlated with another, in context of other more complex conditions.” Dr. Aparicio notes, “By introducing this deeper understanding of the event-event context we more accurately anticipate what might happen next and can plan accordingly.”
There are well-known leader-follower patterns in the stock market, but one industry doesn’t always follow another. If so, market prediction would be easy. Flight delays don’t always occur in bad weather. Some airports such as Atlanta are very susceptible to bad weather while others like Seattle are not. Does the end of person’s employment predict a mortgage default? It depends on the interaction of other events and other factors, of course.
Described as the Holy Grail for financial traders, anticipating events in big-data analytics offers a breakthrough for fund managers and banks, enabling them to anticipate the ups and downs of financial markets. Such situational awareness is based on a rich understanding of context including patterns from news sources, social media and other proprietary data. The benefits and collateral damage caused by mergers and acquisitions, business expansion and contraction for example, are widely covered in news sources. Yet more advanced analytics, which includes considering all the information available, is required to understand and exploit such events.
Saffron’s event prediction compliments its entity analytics, and all these capabilities are based on the universal power of association memories, from remembering the past to anticipating the future.
About Saffron Technology, Inc.
Saffron, founded in 1999, is the world leader in Associative Memory Analytics. Saffron’s Natural Intelligence Platform, including SaffronMemoryBase™, is a market-proven cross-industry intelligence platform that supports real-time sense-making, decision support, and experience-based prediction. Customers apply Saffron to MRO decision support, predictive CRM, risk intelligence, security threat intelligence, market intelligence and more. Saffron is designed to work with “big data” - high velocity, complex, unstructured data sources while providing the agility needed for continuous adaptation. Saffron combines semantics, statistics and context into a single representation of knowledge. Saffron customers are innovators, in academia, corporations, and government. They are engaged in high-stakes research, financial services, risk management, supply chain operations, national security and business development.
To learn more, visit www.saffrontech.com.