Knowlege Powered Predictive Analytics
Harness humanity’s collective intelligence to solve the toughest problems
Knowlege Powered Predictive Analytics
Harness humanity’s collective intelligence to solve the toughest problems
SparkBeyond is a new generation of knowledge-enhanced predictive analytics.
It builds smarter predictive models, by searching for the meaning of your data.
Our customers make their data work harder for them, in a fraction of the time.
Technology
The SparkBeyond engine automatically generates trillions of hypotheses, evaluates them using large scale computing clusters and finds deep patterns in the data.
Technology
The SparkBeyond engine automatically generates trillions of hypotheses, evaluates them using large scale computing clusters and finds deep patterns in the data.
Bringing breakthroughs to every industry
Telecom
Improve targeting & acquisition
Infer demographics from behavioural data
Predict & reduce churn
Energy
Smarter oil & gas planning
Increased well productivity
Failure prediction & diagnosis
Healthcare
Accelerate medical research
Incorporate environmental data
e-Commerce
User behavior prediction
Credit fraud prevention
Revenue analysis
Contact
Contact
Join us!
Want to work at the forefront of AI and machine learning?
Want to make a global impact through data? Want to lead the next breakthrough?
We constantly look for brilliant, curious and dynamic people to join SparkBeyond.
Latest posts:
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RT @guy_zinman: Can Mobile Technologies and Big Data Improve Health? | MIT Technology Review http://t.co/AepOHfCqVC -
RT @guy_zinman: Twitter details how new home-grown system coordinates data analytics http://t.co/6MbYpSw8BP
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RT @KiraRadinsky: Modeling how HIV virus interacts with the cells it infects and its weak spots http://t.co/0cHiFntrLn
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RT @scalapeno2014: A warm welcome to our sponsors, @Wix, @VMware, @Kenshoo, @SupersonicAds, @LivePerson and @sparkbeyond, who made this conference possible!
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Discovery-driven disease progression analysis with temporal patterns covering the whole population of Denmark http://t.co/mKmJeimltq