Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

GraphTour Boston - Using Knowledge Graphs to Predict Customer Needs

139 views

Published on

Presentation from GraphTour Boston - Using Knowledge Graphs to Predict Customer Needs

Published in: Business
  • Be the first to comment

  • Be the first to like this

GraphTour Boston - Using Knowledge Graphs to Predict Customer Needs

  1. 1. © 2019 GraphAware Ltd. All rights reserved. The graph-powered Insights Engine Using Knowledge Graphs Alessandro Negro, Chief Scientist @ GraphAware graphaware.com - @graph_aware, @AlessandroNegro to predict customer needs, improve product quality and save costs
  2. 2. © 2019 GraphAware Ltd. All rights reserved. © 2019 GraphAware Ltd. All rights reserved.
  3. 3. © 2019 GraphAware Ltd. All rights reserved. Why am I receiving so many complaints? “ ” What can I propose to my customers to make them happier? “ ” Why are the production costs increasing so much? “ ” Where can my production chain 
 be improved? “ ” Does a common pattern exist in all these failures? “ ”
  4. 4. © 2019 GraphAware Ltd. All rights reserved. Where would you start?
  5. 5. © 2019 GraphAware Ltd. All rights reserved. Data Information Knowledge Insight Wisdom Simulation Yesterday’s solutions Today’s solutions Near future solutions From Data to Simulation
  6. 6. © 2019 GraphAware Ltd. All rights reserved. The Data Warehouse approach CRM BILLING ERP CSV/FLAT FILES DATA WAREHOUSE ANALYTICS REPORTING ETL
  7. 7. © 2019 GraphAware Ltd. All rights reserved. • An OLAP on [multiple] OLTP • Neither events nor relationships amongst them are stored • KPIs are hard to evaluate The Data Warehouse approach It is a data-driven decision making process!
  8. 8. © 2019 GraphAware Ltd. All rights reserved. Where is the knowledge?
  9. 9. © 2019 GraphAware Ltd. All rights reserved. The Search Engine approach DATABASE SOCIAL WEB APIs SaaS SERVICES SEARCH ENGINE ETL
  10. 10. © 2019 GraphAware Ltd. All rights reserved. • Documents are isolated • KPI based approach • It is hard to reveal common complex patterns The Search Engine approach It is an information-driven decision making process!
  11. 11. © 2019 GraphAware Ltd. All rights reserved. Where is the knowledge?
  12. 12. © 2019 GraphAware Ltd. All rights reserved. The Graph approach C L A I M C L A I M CLAIM Prod Serial: 45367 Prod ID: 234987 Claim: The car has the rear window broken. This is the third time in a month Seller ID: fdew342 CLAIM Prod Serial: s24167-34 Prod ID: s24167 Claim: The customer was driving and after he hit a small hole the window broke Seller ID: csd2387
  13. 13. © 2019 GraphAware Ltd. All rights reserved. The Graph approach csd2387 S E L L E R ID fdew34 S E L L E R ID C L A I M C L A I M 26453F PR O D U C T I D 26453F PR O D U C T I D CLAIM Prod Serial: 45367 Prod ID: 234987 Claim: The car has the rear window broken. This is the third time in a month Seller ID: fdew342 CLAIM Prod Serial: s24167-34 Prod ID: s24167 Claim: The customer was driving and after he hit a small hole the window broke Seller ID: csd2387
  14. 14. © 2019 GraphAware Ltd. All rights reserved. The Graph approach csd2387 S E L L E R ID fdew34 S E L L E R ID C L A I M C L A I M 26453F PR O D U C T I D 26453F PR O D U C T I D Broken Window I NC I D E NT CLAIM Prod Serial: 45367 Prod ID: 234987 Claim: The car has the rear window broken. This is the third time in a month Seller ID: fdew342 CLAIM Prod Serial: s24167-34 Prod ID: s24167 Claim: The customer was driving and after he hit a small hole the window broke Seller ID: csd2387
  15. 15. © 2019 GraphAware Ltd. All rights reserved. The Graph approach csd2387 S E L L E R ID fdew34 S E L L E R ID C L A I M C L A I M 26453F PR O D U C T I D 26453F PR O D U C T I D Broken Window I NC I D E NT PRO DU C T NO DEPRO DU C T NO DE PRO DU C T NO DE PRO DU C T NO DE CLAIM Prod Serial: 45367 Prod ID: 234987 Claim: The car has the rear window broken. This is the third time in a month Seller ID: fdew342 CLAIM Prod Serial: s24167-34 Prod ID: s24167 Claim: The customer was driving and after he hit a small hole the window broke Seller ID: csd2387 From_Node 5678 45367 234987 19834 2345 345 From_Node 45367 234987 19834 234987 34523 2345 Chain ID ROM-23 ROM-23 VEN-1 VEN-1 VEN-1 ROM-23 PRODUCTION CHAIN Node ID 2345 45367 19834 345 ChainID 26453f s24167 sw567 234
  16. 16. © 2019 GraphAware Ltd. All rights reserved. The Graph approach csd2387 S E L L E R ID fdew34 S E L L E R ID California L OC AT I ON Los Angeles L OC AT I ON San Francisco L OC AT I ON C L A I M C L A I M 26453F PR O D U C T I D 26453F PR O D U C T I D Broken Window I NC I D E NT PRO DU C T NO DEPRO DU C T NO DE PRO DU C T NO DE PRO DU C T NO DE CLAIM Prod Serial: 45367 Prod ID: 234987 Claim: The car has the rear window broken. This is the third time in a month Seller ID: fdew342 CLAIM Prod Serial: s24167-34 Prod ID: s24167 Claim: The customer was driving and after he hit a small hole the window broke Seller ID: csd2387 From_Node 5678 45367 234987 19834 2345 345 From_Node 45367 234987 19834 234987 34523 2345 Chain ID ROM-23 ROM-23 VEN-1 VEN-1 VEN-1 ROM-23 PRODUCTION CHAIN Node ID 2345 45367 19834 345 ChainID 26453f s24167 sw567 234
  17. 17. © 2019 GraphAware Ltd. All rights reserved. The Graph approach csd2387 S E L L E R ID fdew34 S E L L E R ID California L OC AT I ON Los Angeles L OC AT I ON San Francisco L OC AT I ON C L A I M C L A I M SU PP LY NO D E 26453F PR O D U C T I D 26453F PR O D U C T I D Broken Window I NC I D E NT PRO DU C T NO DEPRO DU C T NO DE PRO DU C T NO DE PRO DU C T NO DE CLAIM Prod Serial: 45367 Prod ID: 234987 Claim: The car has the rear window broken. This is the third time in a month Seller ID: fdew342 CLAIM Prod Serial: s24167-34 Prod ID: s24167 Claim: The customer was driving and after he hit a small hole the window broke Seller ID: csd2387 From_Node 5678 45367 234987 19834 2345 345 From_Node 45367 234987 19834 234987 34523 2345 Chain ID ROM-23 ROM-23 VEN-1 VEN-1 VEN-1 ROM-23 PRODUCTION CHAIN Node ID 2345 45367 19834 345 ChainID 26453f s24167 sw567 234 Prod ID 234 sw234 we34 ... Supply ROM-23 ROM-23 VEN-1 VEN-1 Date 04 ROM-23 VEN-1 VEN-1 SUPPLY CHAIN
  18. 18. © 2019 GraphAware Ltd. All rights reserved. The Graph approach csd2387 S E L L E R ID fdew34 S E L L E R ID California L OC AT I ON Los Angeles L OC AT I ON San Francisco L OC AT I ON C L A I M C L A I M SU PP LY NO D E 26453F PR O D U C T I D 26453F PR O D U C T I D Broken Window I NC I D E NT PRO DU C T NO DEPRO DU C T NO DE PRO DU C T NO DE PRO DU C T NO DE
  19. 19. © 2019 GraphAware Ltd. All rights reserved. Knowledge Graph
  20. 20. © 2019 GraphAware Ltd. All rights reserved. • Entities are connected by nature • Multiple access patterns • A concrete enabler for Artificial Intelligence The Knowledge Graph approach It is a knowledge-driven decision making process!
  21. 21. © 2019 GraphAware Ltd. All rights reserved. The Knowledge Graph approach
  22. 22. © 2019 GraphAware Ltd. All rights reserved. Ok, you convinced me.
 How can I get started?
  23. 23. © 2019 GraphAware Ltd. All rights reserved. • Extract hidden structure from the text • Easily merge from different sources • Analysis framework • Visualisation tool What should you look for?
  24. 24. © 2019 GraphAware Ltd. All rights reserved. “GraphAware Hume converts structured and unstructured 
 data silos to Knowledge Graph”
  25. 25. © 2019 GraphAware Ltd. All rights reserved. https://www.shutterstock.com/image-photo/hand-holding-interface-social-media-concept-173103695?src=library It is a brain for your organization, by becoming its Digital Twin
  26. 26. © 2019 GraphAware Ltd. All rights reserved. Data Information Knowledge Insight Wisdom Simulation
  27. 27. © 2019 GraphAware Ltd. All rights reserved. INSIGHTS DELIVERY M A C H INELEARNING ANALYSIS API ENRICH DATA Data External Knowledge NATURALLANGUAGE PR O CESSING ENRICHMENT Business Systems & Customer Engagement UX CX INGESTION api
  28. 28. © 2019 GraphAware Ltd. All rights reserved. • Knowledge Graph store • Fast access to connected data • Merging external data • Existing data augmentation • Scalability The role of Neo4j
  29. 29. © 2019 GraphAware Ltd. All rights reserved. Where is the knowledge?
  30. 30. © 2019 GraphAware Ltd. All rights reserved. For more information please contact: Alessandro Negro · 10/22/2019
 info@graphaware.com +1 844-344-7274 graphaware.com Thank you

×