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AI for process automation: use cases from
healthcare insurance
Data Driven Innovation 2018, Roma
Mission
Leithà is a factory which develops, through agile, data-intensive solutions, applications
or components of applications, with the goal to
• preserve, extract value from, enrich the data assets of the Unipol Group
• gain and maintain competitive advantage
2
Skill-set: Algorithms and Applications
3
Data Science
• Data mining
• Process mining
• Graph mining
• Text mining
• Big Data
• Machine Learning
• Image processing
• Natural Language Processing
• Artificial Intelligence
Computer Science
• Data Engineering
• Software Engineering
• High Performance Computing
• Big Data architectures
• IoT
• Signal processing
• Software embedded
• Mobile
• User eXperience
Project portfolio
4
• Insurance premiums
• Purchase propensity algorithms
• Fraud analytics and claims management instruments
• Telematics claims
• Nat-cat modeling for insurance and re-insurance
• Machine Learning / AI for process automation
AI for process automation: the «hurdle» of unstructured
data
5
► Calculations can be performed on any kind of digital data
Structured data ≈
Numbers => calculations
Labels => filters{
Unstructured data: text
AI for process automation: use cases from healthcare
insurance
6
► Goal: across multiple touchpoints / processes, understand medical services and
diseases and match to a list of available medical services for certain diseases
Issue #1: many different ways
 word2vec
• Mapping of words on vectors
• Prediction of «in-between» word
• Sum-preserving mapping
Issue #2: highly technical domain
 trial and error…
• Wikipedia
• Medical dictionaries
• Company-specific data
7
Deploy… or die!
• Implementation of matching algorithms as services
• Services integrated in website and mobile app, to provide auto-completion suggestions
• Services integrated in web-app to support the process of new clinics entering the network
• Services integrated in «virtual agent»
The road to fully unlock the potential of Data Science…
.ppt  analysis on static datasets  PoC  working prototype  Production!!!× × ××

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AI for process automation: use cases from healthcare insurance. Filippo F.G. Della Casa, Unipol

  • 1. AI for process automation: use cases from healthcare insurance Data Driven Innovation 2018, Roma
  • 2. Mission Leithà is a factory which develops, through agile, data-intensive solutions, applications or components of applications, with the goal to • preserve, extract value from, enrich the data assets of the Unipol Group • gain and maintain competitive advantage 2
  • 3. Skill-set: Algorithms and Applications 3 Data Science • Data mining • Process mining • Graph mining • Text mining • Big Data • Machine Learning • Image processing • Natural Language Processing • Artificial Intelligence Computer Science • Data Engineering • Software Engineering • High Performance Computing • Big Data architectures • IoT • Signal processing • Software embedded • Mobile • User eXperience
  • 4. Project portfolio 4 • Insurance premiums • Purchase propensity algorithms • Fraud analytics and claims management instruments • Telematics claims • Nat-cat modeling for insurance and re-insurance • Machine Learning / AI for process automation
  • 5. AI for process automation: the «hurdle» of unstructured data 5 ► Calculations can be performed on any kind of digital data Structured data ≈ Numbers => calculations Labels => filters{ Unstructured data: text
  • 6. AI for process automation: use cases from healthcare insurance 6 ► Goal: across multiple touchpoints / processes, understand medical services and diseases and match to a list of available medical services for certain diseases Issue #1: many different ways  word2vec • Mapping of words on vectors • Prediction of «in-between» word • Sum-preserving mapping Issue #2: highly technical domain  trial and error… • Wikipedia • Medical dictionaries • Company-specific data
  • 7. 7 Deploy… or die! • Implementation of matching algorithms as services • Services integrated in website and mobile app, to provide auto-completion suggestions • Services integrated in web-app to support the process of new clinics entering the network • Services integrated in «virtual agent» The road to fully unlock the potential of Data Science… .ppt  analysis on static datasets  PoC  working prototype  Production!!!× × ××