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MACHINE LEARNING & ARTIFICIAL INTELLIGENCE

Create and operate models at scale across streaming & historical data
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TRANSFORM YOUR BUSINESS WITH SCALABLE ML/AI APPLICATIONSKEY-BENEFITS

SingleStore offers an ultra fast ingest and query platform that enables
real-time model scoring on both
streaming and historical data.


FAST, SCALABLE DATA EXPLORATION

Centralize all operational data with built-in pipelines while performing
ultra-fast queries to identify new models
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Streaming Ingest
Eliminates costly data integration tools through built-in batch and real-time
data pipelines
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Columnar Powered Analytics
Fast petabyte scale analytics with columnstore compression
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Compiled Queries
Repeat queries are compiled into low level machine code to deliver record
breaking response for analytic queries



ULTRA-FAST ANALYSIS AND SCORING

Discover anomalies or predict events as they happen combining real-time and
historical sources with standard SQL.
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Real-time scoring
Deliver instant matching to complex models against big data sets
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Built-in ML functions
Apply built-in models or leverage extensibility functions to maximize response
time
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Score models as data is ingested to provide immediate response to changing
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PROVEN COMPATIBILITY

ANSI SQL compliant with full data persistence improves data accuracy that also
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integration tools.
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Ingest
Streaming inputs include: Apache Kafka and Spark Database inputs include: S3,
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Data Science Compatible
Integrate with model design tools like TensorFlow, Pandas, R, NumPy, SAS,
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UNLIMITED SCALE

Shared nothing architecture for scale out and up using standard hardware. Deploy
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hardware for maximum performance
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Ultra-low latency for scalable transactions and analytics


--------------------------------------------------------------------------------


MACHINE LEARNING ARCHITECTUREARCHITECTURE

SINGLESTORE POWERS REAL-TIME MACHINE LEARNING

SingleStore offers the ideal architecture for ML and AI applications with the
all-in-one database solution that can quickly model and score fast changing data
for real-time response to dynamic conditions driven by customers, machines, or
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EXAMPLE APPLICATIONSAPPLICATIONS


FRAUD DETECTION

Get fine-grained visibility by calculating volatile events across millions of
records for deeper more accurate analysis of fraudulent activities
View Monitoring and Detection Solution



PORTFOLIO TRACKING

Track and manage portfolio risk in real time across millions of financial
records to maximize investor performance.
Read Case Study on Novus



FACIAL RECOGNITION

Facial recognition that works under increasingly challenging circumstances,
including working at scale and using video frames, not just static images.
Read Case Study on Epigen

Trusted by Innovative Companies of Every Size

Comcast


LIGHTNING FAST REAL-TIME
ANALYTICS ON LARGE DATASETS

Comcast can proactively diagnose potential issues from real-time intelligence
and deliver the best possible video experience.
> “We’re now able to aggregate statistics across the entire US as well as glue
> on to complex streams for complex analysis. We like to say we gave the gift
> [of SingleStore] to a lot of groups at Comcast.”
> — Christopher Lintz, Senior Principal Architect

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Webinar
NEW DATA TRENDS FOR PREDICTIVE ANALYTICS AND MACHINE LEARNING

In this webinar, we explore the data infrastructure trends that are shaping the
next generation of ML applications.
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THE PATH TO PREDICTIVE ANALYTICS AND MACHINE LEARNING

Moving to predictive analytics, a key capability enabled by SingleStore, adds
business value and prepares your organization for machine learning and AI.
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In this webinar, we’ll explore how leading organizations are using the latest in
modern data infrastructure to support the design and operational success of
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