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Big data technologies are plagued with small data problems. Their performance suffers in markets that aggregate a large number of unique interests. Some of the largest markets share these small data characteristics, including local e-commerce, personalized media, and interest networking. New approaches are needed that are far less sensitive to the cost and complexity of the data. In this talk, Primal demonstrates how its semantic synthesis technology can overcome these small data problems. We draw on real-world experience in application areas such as personalized information services, recommendation engines, and expertise search.
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©2013 Primal Fusion Inc.
Data Synthesis
The Big Problem with Small Data
Treat your customers as individuals.
MASS MARKETS OF INDIVIDUALS
• Media and advertising• Healthcare and medicine
• Education• Ecommerce and marketing
• Etc.
Implicit SemanticsStatistical Approaches
Explicit SemanticsOntological Approaches
The Long Tail of Big Data
EXPRESSIVENESS
DATA
COMPLEX SCHEMASIMPLE SCHEMA
SMALL
BIG
Cost-Performance Barrier
MASS MARKETS OF INDIVIDUALSStatistical methods lose significance
Ontological methods prohibitively expensiveHybrid
Approaches
Example: Expertise Search
Source: James Cridland
Statistical Approaches
Manual Approaches
Primal’s approach:Modeling knowledge generation, not modeling knowledge
Natural Language Primal Semantics
Words+
Grammatical rules=
Statements and queries
Atomic semantics+
Constructive rules=
Semantic representations
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.
Primal’s semantic synthesis technology is one such solution.
About PrimalPrimal 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.com
Contact Info
Peter Sweeney,Founder & President
[email protected]@petersweeney
Further reading: blog.primal.com
