Today Senzari® introduced MusicGraph.ai,
the first web-based graph analytics and intelligence
engine for the music industry at the GraphLab Conference 2014,
the annual gathering of leading data scientists and machine learning
experts. MusicGraph.ai will serve as the primary dashboard for
MusicGraph®, where API clients will be able to view detailed reports on
their API usage and manage their account. More importantly, through this
dashboard, they will also be able to access a comprehensive library of
algorithms to extract even more value from the world's most extensive
repository of music data.
"We believe MusicGraph.ai will forever change the music intelligence
industry, as it allows scientists to execute powerful analytics and
machine learning algorithms at scale on a huge data-set without the need
to write a single-line of code," explained Demian Bellumio, COO of
Senzari. In the coming weeks, Senzari's MusicGraph API clients - which
includes hundreds of companies, including streaming service providers,
record labels, and music researchers - will be able to login, select the
data they want, choose from dozens of proven algorithms, and run them on
an elastic computing environment with as many machines as they wish -
all within just a few minutes. "No more time and money wasted on
finding, cleansing, and storing this hard-to-find music data, and
especially, on the engineering effort needed to operate these complex
graph computing infrastructure - which require deep domain expertise and
PhD-level talent," Bellumio said.
MusicGraph.ai seamlessly integrates leading Big Data technologies,
including Titan® with Cassandra® and Elasticsarh® for the distributed
graph database system, Hadoop® and Spark® for parallel processing, and
GraphLab® and GraphX as algorithmic engines. The algorithms will be
divided in two distinct sets, Analytics and Intelligence.
Analytics will initially include a set of popular "graph analytics"
algorithms such as PageRank, connected components, and triangle
counting. Intelligence will incorporate powerful "machine learning"
algorithms, such as collaborative filtering, k-means, logistic
regression, and support vector machines (SVMs). In some instances, the
user will be able to run the same algorithm from multiple engines, like
GraphLab and GraphX, to compare the results and performance across them.
In terms of real-world use cases for MusicGraph.ai, data scientists can
leverage it to enhance or develop music recommendation services,
identify data anomalies, and perform community detection within their
networks, among other applications, all in an automated and highly
"MusicGraph.ai dramatically opens up the market potential of Senzari's
MusicGraph, as we are now not only providing industry leading data and
music recommendations services to our partners, but we'll now offer
unparalleled access to Big Data infrastructure and tools that they can
use to derive actionable data from billions of data points that connect
the content and users," commented Bill Hajjar, CEO of Senzari. "We
believe that in MusicGraph's first iteration we democratized music data
access, and now, with MusicGraph.ai, we are democratizing music
knowledge. Most impressively, our team was able to make this leap
possible in just months, not years."
All developers and data scientists interested in learning more, can sign
up for free access to MusicGraph by visiting http://developer.musicgraph.com.
Senzari is a technology company applying the latest techniques in
machine learning and Big Data technologies to generate real-time
semantic graphs around users and media. Senzari has two products that
leverage these technologies, MusicGraph
MusicGraph is an API comprised of a multi-billion-item dataset, graph
search, and recommendation service, coupled with powerful graph
analytics and machine learning engines. Wahwah is a music streaming
service that leverages MusicGraph's recommendation engine to deliver
uniquely personalized Internet radio experiences across web and mobile
Senzari and the MusicGraph are registered trademarks of Senzari, Inc.
Titan is a trademark of Aurelius LLC. Elasticsearch is a trademark of
Elasticsearch BV. Cassandra, Spark and Hadoop are all trademarks of The
Apache Software Foundation. GraphLab is a trademark of GraphLab Inc.
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