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Vasilis Bankov & Calin Iliescu AEGON

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Cloud EcoSystems: A Safe and Compliant Home for your Big Science on the Cloud.
Vasilis Bankov & Calin Iliescu

Published in: Data & Analytics
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Vasilis Bankov & Calin Iliescu AEGON

  1. 1. Cloud Eco-Systems A safe and compliant home for your big science on the cloud
  2. 2. Aegon Group: • Banking • Insurance • Asset Management • > 20 countries
  3. 3. BANKING
  4. 4. INSURANCE
  5. 5. ASSET MANAGEMENT
  6. 6. Context of Operation – delivering tailored financial management by mirroring customer needs in the services we use . real-time packaging and underwriting of financial service and management The ecosystems together derive needs and and translate them in to offerings We need to be able to mirror an individual’s humanity and ambition in the services that we use to manage their financial health. This requires us to grow a strong relationship.
  7. 7. Context of Operation – making data work for us we need to be able to mirror personal needs within our tailored services that match our vision making bettering returns on investment The ecosystems manage the Relationship of the customer With services Points of convergence – the more overlay we have here the better and timely match for convergence/sale Our Business Our Customer
  8. 8. Data Harmony as energy never dies it simply takes different forms, so does data. This is a continuous model driven by creativity and disruption and tamed by intelligence, knowledge and operational feedback Data Relevance 2 Lifecycle Data Relevance 1 Lifecycle Data Harmonic Lifecycle The ecosystems together support the data harmony models
  9. 9. THE AEGON ONE ECO-SYSTEM MAKING SENSE OF DATA AND TRANSACTIONS & BUILDING TRUST
  10. 10. All Eco-System working in Harmony? They can work singularly or as part of an interoperable suite. OMNICHANNEL BI PORTAL DATA IMPORT DATA EXPORTDATA LAKE DATA PUBLICATION DATA LAB
  11. 11. THE ONE AEGON ECO-SYSTEM TECHNOLOGIES 1. USE CLOUD SERVICES AS MUCH AS POSSIBLE 2. USE OPEN-SOURCE AS MUCH AS POSSIBLE 3. USE TECHNOLOGY WITH SMALL COMPUTE FOOTPRINTS 4. USE STATELESS MICRO SERVICES (1 Compute : 1 Platform: 1 Task) 1. MOVE AWAY FROM LARGE CLUSTER TECHNOLOGY 2. SEPARATE COMPUTE FROM DATA 3. FIX ON A SINGLE CLOUD, ALLOW FOR INTEROPERATION WITH OTHER CLOUD SERVICES 4. KEEP DATA MOVEMENT TO A MINIMUM, MOVE COMPUTE AND MODELS
  12. 12. How do they interoperate ? The whole is greater than the sum of the parts. But the parts themselves are also very special
  13. 13. Data LAKE Production Data & Meta Models Production, Business Data Cold Storage AI, ML – Neural Net (DLb) Taxanomic Processing * Meta Model Search & Data Publication THE DATA LAKE ECOSYSTEM (DLk) * this is Blooms taxonomy model Data Exhausting NOTE. Each Eco-system can exist on its own or any part of this configuration as a suite.
  14. 14. THE DATA LAKE ECOSYSTEM (DLk) DOMAINS WITHIN THE DATA LAKE ECOSYSTEM
  15. 15. THE DATA LAKE ECOSYSTEM (DLk) ENGINEERING SCHEMATIC [DATA LAKE]
  16. 16. TOP 10 CAPABILITIES OF THE DATA LAKE ECOSYSTEM 1. SECURE PRODUCTION DATA ON THE CLOUD 2. REGULATORY & SOVEREIGNTY GOVERNANCE AND COMPLIANCE BUILT-IN 3. VISIBILITY ON ALL PRODUCTION DATA CLASSES, QUALITY, COMPLETENESS AND LIFCYCLE 4. PUBLISH UP TO DATE & HISTORIC PRODUCTION DATA & ITS META MODELS ADHERING TO GOVERNABLE DATA CONTROLS 5. ANSWER ALL QUESTIONS ON PRODUCTION DATA USING SEMANTIC AI/ML WITHOUT HAVING TO ACCESS THE DATA 6. CREATION OF NEW DATA DICTIONARIES FOR DIGITAL ONLY WITHOUT DIRTYING CORE INDUSTRY DATA MODELS 7. SUPPORT DATA FEDERATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL. 8. ON THE CLOUD BUT INVISIBLE TO THE OUTSIDE WORLD 9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY 10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
  17. 17. Data Pub Published Data & Meta Models(DP) Data Exhausting AI, ML – Neural Net (DLb) Taxanomic Processing * Meta Model Search & Data Publication THE DATA PUBLICATION ECOSYSTEM (DP) * this is Blooms taxonomy model Production Data & Meta Models (DLk) Cold Storage NOTE. Each Eco-system can exist on its own or any part of this configuration as a suite.
  18. 18. THE DATA PUBLICATION ECOSYSTEM (DP) DOMAINS WITHIN THE DATA PUBLICATION ECOSYSTEM
  19. 19. TOP 10 CAPABILITIES OF THE DATA PUBLICATION ECOSYSTEM 1. ACCESS TO MASSIVELY SCALABLE SECURED FIT-FOR-PURPOSE PRODUCTION DATA. 2. SUPPORT ANY DATA TECHNOLOGY WITHOUT HAVE TO WORRY ABOUT TECHNOLOGY SCHEMAS. 3. CREATE, REFRESH AND REMOVE DATA WITHOUT ANY ADVERSE AFFECTS TO DOWNSTREAM OR CROSSSTREAM FUNCTIONS 4. IMPORT DATA FROM EXTERNAL SOURCES SECURELY FOR FUNCTIONAL POINT OPERATIONAL REQUIREMENTS 5. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS 6. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE 7. SUPPORT DATA FEDERATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL. 8. ON THE CLOUD BUT INVISIBLE TO THE OUTSIDE WORLD 9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY 10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
  20. 20. Deployment architecture Data LAB BI REPORTS Data Sets Creation Analytics, Cubes, AI, ML, BOTS, Neural Nets Cells Public, Social , Market Data & IoT Data Exhausting Taxanomic Data Science. AI ML Creation, Packaging THE DATA LAB ECOSYSTEM (DLb) Publication Data Sets (DP) NOTE. Each Eco-system can exist on its own or any part of this configuration as a suite.
  21. 21. THE DATA LAB ECOSYSTEM (DLb) DOMAINS WITHIN THE DATA LAB ECOSYSTEM
  22. 22. THE DATA LAB ECOSYSTEM (DLb)
  23. 23. TOP 10 CAPABILITIES OF THE DATA LAB ECOSYSTEM 1. UNBOUNDED CREATIVE LAB FOR ALL THINGS DATA, AI, ML, ANALYTICS, INTELLIGENCE AND KNOWLEDGE. 2. NO NEED TO MOVE DATA OUT OF CLOUD TO EXECUTE MASSIVE COMPUTE AGAINST MASSIVE DATA 3. PACKAGE INTELLIGENCE, KNOWLEDGE AI, ML, INSIGHTS FOR USE WITHIN BUSINESS PROCESS AND OPERATION DASHBOARDS 4. GROW INTELLIGENCE FOR BOTS, BIOMETRIC IDENTITIES, FRAUD PREVENTION, TRUST EVALUATION 5. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS 6. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE 7. SUPPORT DATA FEDERATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL. 8. ON THE CLOUD BUT INVISIBLE TO THE OUTSIDE WORLD 9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY 10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
  24. 24. Deployment architecture BI Reporting BI REPORTS Data Sets Creation (DLb) Analytics, Cubes, AI, ML, Neural Nets Cells Public, Social , Market Data & IoT Data Exhausting Data Science. AI ML Creation and Packaging Publication Data Sets (DP) THE BI PORTAL ECOSYSTEM (BI) BI REPORTS BI DASHBOARDS NOTE. Each Eco-system can exist on its own or any part of this configuration as a suite.
  25. 25. THE BI PORTAL ECOSYSTEM (BI) DOMAINS WITHIN THE BI PORTAL ECOSYSTEM
  26. 26. THE BI PORTAL ECOSYSTEM (BI)
  27. 27. TOP 10 CAPABILITIES OF THE BI PORTAL ECOSYSTEM 1. BOUNDED PORTAL TO DELIVER DASHBOARD AND REPORTS ACROSS ALL MEDIUMS AND ASSOCIATED DEVICES 2. NO NEED TO MOVE DATA OUT OF CLOUD TO SUPPORT ACCESS AT SCALE 3. PACKAGE REPORTING DATA FROM EXTERNAL SOURCE – REGULATORS, PARTNERS, SHAREHOLDERS, CUSTOMERS 4. REPORT AND REALTIME CHANGES BASED ON BOTH INTERNAL, EXTERNAL AND BLENDED INSIGHTS 5. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS 6. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE 7. SUPPORT DATA FEDERATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL. 8. ON THE CLOUD BUT INVISIBLE TO THE OUTSIDE WORLD 9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY 10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
  28. 28. Deployment architecture BI REPORTS Data Sets Creation (DLb) AI, ML, Neural Nets Cells (DLb) Public, Social , Market Data & IoT Production Writes/Alerts Data Science. AI ML Creation and Packaging Publication Data Sets (DP) THE OMNICHANNEL ECOSYSTEM (OC) Customer, Business, Bots & API Interactions NOTE. Each Eco-system can exist on its own or any part of this configuration as a suite.
  29. 29. THE OMNICHANNEL ECOSYSTEM (OC) DOMAINS WITHIN THE OMNICHANNEL ECOSYSTEM
  30. 30. THE DATA EXPORT Hub ECOSYSTEM (DEh) * this is Blooms taxonomy model Production Data & Meta Models (DLk/b) Partners & Regulators NOTE. Each Eco-system can exist on its own or any part of this configuration as a suite.
  31. 31. THE DATA EXPORT Hub ECOSYSTEM (DEh) DOMAINS WITHIN THE DATA EXPORT ECOSYSTEM
  32. 32. THE DATA EXPORT Hub ECOSYSTEM (DEh)
  33. 33. TOP 10 CAPABILITIES OF THE DATA EXPORT ECOSYSTEM 1. PACKAGES DATA FOR EXPORT UNDER STRICT GOVERNANCE AND DATA CONTROLS 2. SUPPORTS ALL EXTERNAL DATA INTEGRATIONS AND INTERPORATIONAL PROTOCOLS AND SECURITY 3. SUPPORTS ACCESS WINDOWS TO ENSURE TIGHTER LEVEL OF SECURITY ON VISIBLE ACCESS POINTS 4. PROVIDES OPEN API SECURED FOR A MORE RELAXED PARTNER ACCESS TO DATA 5. SUPPORTS ALL DATA TYPES ACROSS THE ECOSYSTEM TOPOLOGY AND ALL DATA FORMATS 6. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS 7. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE 8. SUPPORT DATA FEDERATION AND SERVICE COMBINATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL. 9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY 10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
  34. 34. THE DATA IMPORT Hub ECOSYSTEM (DIh) * this is Blooms taxonomy model Production Data & Meta Models (DLk/b) Partners & Regulators NOTE. Each Eco-system can exist on its own or any part of this configuration as a suite.
  35. 35. THE DATA IMPORT Hub ECOSYSTEM (DIh) DOMAINS WITHIN THE DATA IMPORT ECOSYSTEM
  36. 36. THE DATA IMPORT Hub ECOSYSTEM (DIh)
  37. 37. TOP 10 CAPABILITIES OF THE DATA IMPORT ECOSYSTEM 1. IMPORTS DATA FROM EXTERNAL SOURCES AND PARTNERS UNDER STRICT GOVERNANCE AND DATA CONTROL 2. SUPPORTS ALL EXTERNAL DATA INTEGRATIONS AND INTERPORATIONAL PROTOCOLS AND SECURITY 3. SUPPORTS VIRUS AND MALWARE PROTECTION ON ACROSS ALL IMPORTS AND HEADER ANALYSIS 4. PROVIDES OPEN API SECURED FOR A MORE RELAXED PARTNER DEPLOYMENT OF DATA 5. SUPPORTS ALL DATA TYPES AND APPORPRIATE TRANSFORMATIONS 6. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS 7. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE 8. SUPPORT DATA FEDERATION AND SERVICE COMBINATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL. 9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY 10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
  38. 38. DELIVERY OF GLOBAL DATA, INSIGHTS, INTELLIGENCE ONE AEGON BIG DATA ON A GLOBAL SCALE GLOBAL INTELLIGENCE CREATION LOCAL INTELLIGENT EXECUTION MOVE ALGORITHM AND MODELS NOT DATA AND COMPUTE
  39. 39. WE HAVE ALREADY STARTED ON TOMORROWS JOURNEY? % of Completion for fully working operational eco-suite. 55% 35% 35%50%20% 10%3% The dev to date is driven through JIT Dev based on business need NOTE. Each Eco-system can exist on its own or any part of this configuration as a suite.
  40. 40. Current Deployments User Usage Type Data Lake Data Lab Data Exp Data Imp BI Portal Data Pub Omni Channel KNAB PROD * * * * * * AAM POC * * * AEGON LIFE POC * * NL POC * * SPAIN POC * * * * * * OPERATIONAL AREAS COVERED BANKING, INSURANCE, ASSETMANAGEMENT – ONE FABRIC – MANY SOLUTIONS – ONE ECOSYSTEM

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