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©2013 Primal Fusion Inc. Data Synthesis The Big Problem with Small Data.

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Presentation on theme: "©2013 Primal Fusion Inc. Data Synthesis The Big Problem with Small Data."— Presentation transcript:

1 ©2013 Primal Fusion Inc. Data Synthesis The Big Problem with Small Data

2 Treat your customers as individuals. MASS MARKETS OF INDIVIDUALS Media and advertising Healthcare and medicine Education Ecommerce and marketing Etc.

3 Implicit Semantics Statistical Approaches Explicit Semantics Ontological Approaches The Long Tail of Big Data EXPRESSIVENESS DATA COMPLEX SCHEMASIMPLE SCHEMA SMALL BIG Cost-Performance Barrier MASS MARKETS OF INDIVIDUALS Statistical methods lose significance Ontological methods prohibitively expensive Hybrid Approaches

4 Example: Expertise Search Source: James CridlandJames Cridland

5 Statistical Approaches

6 Manual Approaches

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10 Primals approach: Modeling knowledge generation, not modeling knowledge Natural LanguagePrimal Semantics Words + Grammatical rules = Statements and queries Atomic semantics + Constructive rules = Semantic representations

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16 Treat your customers as individuals. Massive opportunities in truly individualized services, but... …huge challenges in the long tail of big data. The cost-performance barrier requires solutions with fundamentally different cost structures. Primals semantic synthesis technology is one such solution.

17 About Primal Primal powers the rapid development of personalized and intelligent systems. Cloud-based data service (DaaS). Software and IP licensing opportunities are available for larger companies. Professional services available, with expertise in knowledge representation, statistical computing, information retrieval and extraction, database, and cloud computing. More info: primal.comprimal.com

18 Contact Info Peter Sweeney, Founder & President peter.sweeney@primal.com peter.sweeney@primal.com @petersweeney Further reading: blog.primal.com/tag/datablog.primal.com/tag/data


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