eclipseday milano 2017 - how to make data science appealing with open source software
TRANSCRIPT
How to make Data Science appealing with open source software
Big Data & Analytics Competency CenterEclipseDay Milano, 22/09/2017
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REPORTING & VISUALIZATIONA good presentation does not generate anyadditional value, but makes the valueaccessible and understandable
INSIGHTSDiscovering and understanding the behaviors, patterns and trends that may be concealed in the data
Data Science in a nutshell
INFERENCELearn from the examples in order to foresee what is going to happen next
SCALABILITY Scalable applications and algorithms are needed to deal with great amounts of data
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What does the market ask?
CUSTOMIZATION
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Our recipe
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What we do
Predictive Maintenance
Anomaly Detection
Text Analytics
Supervised Learning
Recommender Systems
Churn Analysis
Active Learning
Reinforcement Learning
Unsupervised Learning
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Open Source makes Data Science appealing!
reproducibility
standardization
accessibility
no additional costs
ease of integration
no technological lock-in
great variety of visualization tools
huge variety of algorithms
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Big Data Science Lab
Meet us halfway!
PoC and demos
Analyticslifecycle
Overview of the whole lifespan of our applications
Adaptable and modular solutions to many business issues
Aimed at making business solutions accessible and understandable in every context
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FRONT-END CAREBDSL gives us a possibility to empower our communication and visualization tools
VARIETYBDSL keeps a great number of different applications under the same roof
Why BDSL?
PARALLELIZATIONBDSL is a useful resource to handle
computationally demanding tasks
CLOUD INFRASTRUCTUREBDSL is totally based on Engineering
Private Cloud
COLLABORATIONCollaborative development and resource sharing are at the top of our priorities
TECHNOLOGY SCOUTINGBDSL is a great chance to look for new
technologies and test their performance
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Standalone PoC & projects
REST servicesand Micro-Services
BDSL Components
Big Data RepositoriesSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for business
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Why Micro-Services?
COMMITTED TO THE MARKET
Aimed at fulfilling what the market and the company demand
RE-USABLE SOLUTIONSEase of use in completely different contexts and projects
May be composable accordingto one’s needs
CUSTOMIZATION
Among our services:
● Predictive algorithms
● Text tagger
● #Recommender
● Sentiment Analysis
● NE recognizer
● Semantic analysis
● Topic labeller
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Custom Libraries &
ApplicationsWeb
MicroframeworkFrontendREST
servicesLDAP
Authentication
Application endpointsREST service endpoint
Micro-Services and Micro-Applications
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Standalone PoC & projects
REST servicesand Micro-Services
BDSL Components
Big Data RepositoriesSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for business
www.eng.it
Our solutions
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Standalone PoC & projects
REST servicesand Micro-Services
BDSL Components
Big Data DBsSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for business
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Storytelling is a key factor!
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Advanced Visualization and Data integration
BDSL also features:
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Thank you!
Matteo SartoriData ScientistBig Data & Analytics Competency CenterEngineering [email protected]://www.linkedin.com/in/matteosartori/
Michele GabusiData ScientistBig Data & Analytics Competency CenterEngineering [email protected]://www.linkedin.com/in/michele-gabusi-a2a76427/Twitter: @michele_gabusi
@EngineeringSpa