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From Data Lakes to the Data Fabric: Our Vision for Digital Strategy

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Cambridge Semantics
Cambridge Semantics

In this presentation for Strata NY 2018, we share our vision for digital innovation as a shift to something powerful, expedient and future-proof. This is accomplished through the use of a 'Data Fabric'. Utilizing graph technology, this Data Fabric connects enterprise data in an overlay fashion that does not disrupt current investments for unprecedented access to data. This interconnected and reliable data can then be used to automate scalable AI and ML efforts to improve business outcomes.

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Anzo From Data Lakes to the Data Fabric: Our Vision for Digital Strategy
©2018 Cambridge Semantics Inc. All rights reserved. Data Lake Architecture Semantic Layer Graph Database Technology A data fabric that breaks down data silos to accelerate digital transformation.
©2018 Cambridge Semantics Inc. All rights reserved. 2020: The Data Fabric Vision 2018: The Data Lake Converges, The Data Fabric Emerges Anzo Ontology Editor Anzo Connect Anzo on the Web Anzo for Excel Anzo Unstructured 2015: The Data Lake Emerges AnzoGraph™GraphMarts Hi-Res Analytics™ Ingestion & Mapping Semantic Layer Catalog 2017 Cloud or On-Prem Data Lake Infrastructure Data Catalog (optional) 2018 From Data Lakes to Data Fabric: Market Evolution & Vision Anzo Graph Query Engine
©2018 Cambridge Semantics Inc. All rights reserved. Pharma Strategic Objective: Halve Drug Development Time 12 -> 6 Years Drug Discovery Preclinical Product Development FDA R eview S cale Up Production Post Marketing S urveillance PHAS E 1 PHAS E 2 PHAS E 3 ~5,000-10,000 Compounds 250 Compounds 5 Compounds 3-6 Years 6-7 Years 0.5 - 2 Years Indefinite INDSUBMITTED NDA/BLASUBMITTED PREDISCOVERY Number of Volunteers 20-100 100-500 1,000- 5,000 Product Development & Regulatory Voice of the Customer Analytics Source of Influence Commercial Analytics R & D Intelligence (CI) $538m $119m $219m $255m $251m $39m Medical Advisory Board Analytics Clinical Trial Exploratory Analytics Real World Research FDA Approved Clinical Data Standards Mgmt PV & Safety Case Management Clinical Trial Operations Pharma’s Enterprise Data Fabric Scientific Data Management
©2018 Cambridge Semantics Inc. All rights reserved.
©2018 Cambridge Semantics Inc. All rights reserved. The Semantic Layer A semantic layer is a human-readable representation of data that uniquely identifies and connects data with common business terms that helps end users access data autonomously, securely and confidently.
©2018 Cambridge Semantics Inc. All rights reserved. Claim ID Process Date Subscriber ID 44223 10/3/2015 C12345 44224 10/7/2015 C23412 … … … Claims On July 3, 2016 Patient BA213 experiencing headache and nausea following 500mg dosage of sleep aid therapeutic, Narcoleptol. On Site Doctor Note Graph - The Data Model of the Semantic Layer Patient ID Condition Drug Name BA213 Sleep Apnea Narcoleptol CS289 Type II Diabetes Insulin … … EHR BA213 Patient ID Drugprescribed Narcoleptol brand name Sleep Apnea Condition 10/3/2015 Process Date Subscriber C12345 Subs. ID Patient Record about 500mg Dosage Note 3/7/2016 when Headache and nausea event -.05 Sentiment score Claim 44223 Claim ID about
©2018 Cambridge Semantics Inc. All rights reserved.
©2018 Cambridge Semantics Inc. All rights reserved. Graph Driven Analytics - Answer the Unanticipated
©2018 Cambridge Semantics Inc. All rights reserved. Custom Coding / Tool Stitching Cloud or On-Prem Data Lake Infrastructure Ingest Unstructured Data/NLP Data Prep Standard Data Catalog ● Data Sources ● Some ETL Automation ● Basic Metadata Management ● Self service access to raw data sets Machine Learning and AI Enterprise Data Sources “Last Mile” Analytics ToolsData Integration Data Platform Market Landscape and Competition
©2018 Cambridge Semantics Inc. All rights reserved. GraphMarts AnzoGraph™ Hi-Res Analytics™ Enterprise Data Sources Cloud or On-Prem Data Lake Infrastructure Machine Learning and AI Enterprise Search “Last Mile” Analytics ToolsAutomated Ingestion & Mapping Semantic Layer Catalog Graph-based Metadata Management, Governance and Lineage Data Catalog (optional) Data Fabric for Automated Data Management & Analytics Ingest
©2018 Cambridge Semantics Inc. All rights reserved. The Data Fabric Addresses Today’s Information Management Challenges Answer unanticipated questions on complex data across many sources Self-service data access and advanced analytics ? ! 1 Achieve strategic data objectives faster vs. stitching many tools together Semantic layer on Cloud data lakes and Hadoop 2 Accelerate automation of data-driven operations with machine learning and AI Accelerate data science with automated feature engineering and selection Data management and prep for NLP, AI, and ML NLP AI ML 3
©2018 Cambridge Semantics Inc. All rights reserved. Anzo Accelerates AI Initiatives Machine Learning Advanced Analytics Graph-based Data Preparation Accelerates Key Activities Automated Data Ingestion & Data Profiling Diverse Data Sources Anzo - Data Management and Prep for NLP, ML and AI Insurance Claims Clinical Trials Rx Data Health Records Genetic Data Wearables On July 3, 2016 Patient BA213 experiencing headache and nausea following 500mg dosage of sleep aid therapeutic, Narcoleptol. Date Event Drug Name Drug Type 5/3/2 016 Headache and nausea Narcol eptol Sleep Aid Knowledge Graphs for Data Integration & Discovery Data Layers - Data Wrangling & Cleaning Simplified Feature Selection and Feature Engineering through automated graph denormalization and transformation queries Use ML and Data Science tool of choice Data Preparation and Feature Selection with No Coding An illustrative example from the healthcare vertical 13
©2018 Cambridge Semantics Inc. All rights reserved. Business Challenge: Patient safety case reports of varying formats from different countries are manually processed by pharma companies in a time-consuming manner for reporting to regulatory authorities AI Solution: A first-of-breed system based on knowledge graphs, NLP, ML and human feedback to automate case intake - making medicines safer for patients and reducing cost and effort for Pharma Anzo for AI Case Study - Patient Safety CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018
©2018 Cambridge Semantics Inc. All rights reserved. Anzo for AI Case Study - Patient Safety Automated Ingestion/ Profiling Knowledge GraphsData Layers Feature Selection/ Engineering CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018 CASE REPORT CASE REPORT CASE REPORT CASE REPORT CASE REPORT CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018 Case Report CASE REPORTS INGESTED DATA PROFILED DATA REDACTED
©2018 Cambridge Semantics Inc. All rights reserved. ● Named Entity Recognition ● Relationship Extraction ● Semantic Pattern Extraction Anzo for AI Case Study - Patient Safety Automated Ingestion/ Profiling Knowledge GraphsData Layers Feature Selection/ Engineering TEXT ANALYTICS LAYER CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018 Case Report Text Analytics APIs adverse reaction drug anatomy
©2018 Cambridge Semantics Inc. All rights reserved. Anzo for AI Case Study - Patient Safety Automated Ingestion/ Profiling Knowledge GraphsData Layers Feature Selection/ Engineering TEXT ANALYTICS LAYER CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018 Case Report FEATURE SELECTION LAYER Drug X Drug Y Headache Bleeding Nose Feature Selection in Anzoadverse reaction drug anatomy
©2018 Cambridge Semantics Inc. All rights reserved. Anzo for AI Case Study - Patient Safety Automated Ingestion/ Profiling Knowledge GraphsData Layers Feature Selection/ Engineering TEXT ANALYTICS LAYER FEATURE SELECTION LAYER MACHINE LEARNING LAYER ● Predicted Value ● Accuracy Measure Machine Learning APIs Feature Selection in Anzo ML Data Layer Options in Anzo
©2018 Cambridge Semantics Inc. All rights reserved. Where People, Data and Algorithms Collaborate for AI Add User Inputs for Smarter Results Explore, Prepare, and Analyze Data Code-Free Answer Questions on the Fly Using Connected Data Link Disparate Data Using Business-Friendly Models All Data With Context and Lineage Layers to effect stepwise data processing Apply Algorithms of Choice Using Data Layers Preserve Algorithm Attributes using Models People Data Algorithms
©2018 Cambridge Semantics Inc. All rights reserved. Exploration AccessData Layers Data Ingest Today, a 4-8 week engagement with Anzo 4.0 implements end- to-end capability and delivers real business value 2-4 Weeks2-4 Weeks 2-4 Weeks
©2018 Cambridge Semantics Inc. All rights reserved. Visit us for a Demo! Cambridge Semantics Booth #1037 © 2018 Cambridge Semantics Inc. All rights reserved. Forrester’s Big Data Fabric Wave (June 2018)

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From Data Lakes to the Data Fabric: Our Vision for Digital Strategy

  • 1. Anzo From Data Lakes to the Data Fabric: Our Vision for Digital Strategy
  • 2. ©2018 Cambridge Semantics Inc. All rights reserved. Data Lake Architecture Semantic Layer Graph Database Technology A data fabric that breaks down data silos to accelerate digital transformation.
  • 3. ©2018 Cambridge Semantics Inc. All rights reserved. 2020: The Data Fabric Vision 2018: The Data Lake Converges, The Data Fabric Emerges Anzo Ontology Editor Anzo Connect Anzo on the Web Anzo for Excel Anzo Unstructured 2015: The Data Lake Emerges AnzoGraph™GraphMarts Hi-Res Analytics™ Ingestion & Mapping Semantic Layer Catalog 2017 Cloud or On-Prem Data Lake Infrastructure Data Catalog (optional) 2018 From Data Lakes to Data Fabric: Market Evolution & Vision Anzo Graph Query Engine
  • 4. ©2018 Cambridge Semantics Inc. All rights reserved. Pharma Strategic Objective: Halve Drug Development Time 12 -> 6 Years Drug Discovery Preclinical Product Development FDA R eview S cale Up Production Post Marketing S urveillance PHAS E 1 PHAS E 2 PHAS E 3 ~5,000-10,000 Compounds 250 Compounds 5 Compounds 3-6 Years 6-7 Years 0.5 - 2 Years Indefinite INDSUBMITTED NDA/BLASUBMITTED PREDISCOVERY Number of Volunteers 20-100 100-500 1,000- 5,000 Product Development & Regulatory Voice of the Customer Analytics Source of Influence Commercial Analytics R & D Intelligence (CI) $538m $119m $219m $255m $251m $39m Medical Advisory Board Analytics Clinical Trial Exploratory Analytics Real World Research FDA Approved Clinical Data Standards Mgmt PV & Safety Case Management Clinical Trial Operations Pharma’s Enterprise Data Fabric Scientific Data Management
  • 5. ©2018 Cambridge Semantics Inc. All rights reserved.
  • 6. ©2018 Cambridge Semantics Inc. All rights reserved. The Semantic Layer A semantic layer is a human-readable representation of data that uniquely identifies and connects data with common business terms that helps end users access data autonomously, securely and confidently.
  • 7. ©2018 Cambridge Semantics Inc. All rights reserved. Claim ID Process Date Subscriber ID 44223 10/3/2015 C12345 44224 10/7/2015 C23412 … … … Claims On July 3, 2016 Patient BA213 experiencing headache and nausea following 500mg dosage of sleep aid therapeutic, Narcoleptol. On Site Doctor Note Graph - The Data Model of the Semantic Layer Patient ID Condition Drug Name BA213 Sleep Apnea Narcoleptol CS289 Type II Diabetes Insulin … … EHR BA213 Patient ID Drugprescribed Narcoleptol brand name Sleep Apnea Condition 10/3/2015 Process Date Subscriber C12345 Subs. ID Patient Record about 500mg Dosage Note 3/7/2016 when Headache and nausea event -.05 Sentiment score Claim 44223 Claim ID about
  • 8. ©2018 Cambridge Semantics Inc. All rights reserved.
  • 9. ©2018 Cambridge Semantics Inc. All rights reserved. Graph Driven Analytics - Answer the Unanticipated
  • 10. ©2018 Cambridge Semantics Inc. All rights reserved. Custom Coding / Tool Stitching Cloud or On-Prem Data Lake Infrastructure Ingest Unstructured Data/NLP Data Prep Standard Data Catalog ● Data Sources ● Some ETL Automation ● Basic Metadata Management ● Self service access to raw data sets Machine Learning and AI Enterprise Data Sources “Last Mile” Analytics ToolsData Integration Data Platform Market Landscape and Competition
  • 11. ©2018 Cambridge Semantics Inc. All rights reserved. GraphMarts AnzoGraph™ Hi-Res Analytics™ Enterprise Data Sources Cloud or On-Prem Data Lake Infrastructure Machine Learning and AI Enterprise Search “Last Mile” Analytics ToolsAutomated Ingestion & Mapping Semantic Layer Catalog Graph-based Metadata Management, Governance and Lineage Data Catalog (optional) Data Fabric for Automated Data Management & Analytics Ingest
  • 12. ©2018 Cambridge Semantics Inc. All rights reserved. The Data Fabric Addresses Today’s Information Management Challenges Answer unanticipated questions on complex data across many sources Self-service data access and advanced analytics ? ! 1 Achieve strategic data objectives faster vs. stitching many tools together Semantic layer on Cloud data lakes and Hadoop 2 Accelerate automation of data-driven operations with machine learning and AI Accelerate data science with automated feature engineering and selection Data management and prep for NLP, AI, and ML NLP AI ML 3
  • 13. ©2018 Cambridge Semantics Inc. All rights reserved. Anzo Accelerates AI Initiatives Machine Learning Advanced Analytics Graph-based Data Preparation Accelerates Key Activities Automated Data Ingestion & Data Profiling Diverse Data Sources Anzo - Data Management and Prep for NLP, ML and AI Insurance Claims Clinical Trials Rx Data Health Records Genetic Data Wearables On July 3, 2016 Patient BA213 experiencing headache and nausea following 500mg dosage of sleep aid therapeutic, Narcoleptol. Date Event Drug Name Drug Type 5/3/2 016 Headache and nausea Narcol eptol Sleep Aid Knowledge Graphs for Data Integration & Discovery Data Layers - Data Wrangling & Cleaning Simplified Feature Selection and Feature Engineering through automated graph denormalization and transformation queries Use ML and Data Science tool of choice Data Preparation and Feature Selection with No Coding An illustrative example from the healthcare vertical 13
  • 14. ©2018 Cambridge Semantics Inc. All rights reserved. Business Challenge: Patient safety case reports of varying formats from different countries are manually processed by pharma companies in a time-consuming manner for reporting to regulatory authorities AI Solution: A first-of-breed system based on knowledge graphs, NLP, ML and human feedback to automate case intake - making medicines safer for patients and reducing cost and effort for Pharma Anzo for AI Case Study - Patient Safety CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018
  • 15. ©2018 Cambridge Semantics Inc. All rights reserved. Anzo for AI Case Study - Patient Safety Automated Ingestion/ Profiling Knowledge GraphsData Layers Feature Selection/ Engineering CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018 CASE REPORT CASE REPORT CASE REPORT CASE REPORT CASE REPORT CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018 Case Report CASE REPORTS INGESTED DATA PROFILED DATA REDACTED
  • 16. ©2018 Cambridge Semantics Inc. All rights reserved. ● Named Entity Recognition ● Relationship Extraction ● Semantic Pattern Extraction Anzo for AI Case Study - Patient Safety Automated Ingestion/ Profiling Knowledge GraphsData Layers Feature Selection/ Engineering TEXT ANALYTICS LAYER CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018 Case Report Text Analytics APIs adverse reaction drug anatomy
  • 17. ©2018 Cambridge Semantics Inc. All rights reserved. Anzo for AI Case Study - Patient Safety Automated Ingestion/ Profiling Knowledge GraphsData Layers Feature Selection/ Engineering TEXT ANALYTICS LAYER CASE REPORT Patient had headache.Patient was taking DRUG X. Patient also complained of bleeding from nose. Patient is taking DRUG Y as well.Reported: Sep 12, 2018 Case Report FEATURE SELECTION LAYER Drug X Drug Y Headache Bleeding Nose Feature Selection in Anzoadverse reaction drug anatomy
  • 18. ©2018 Cambridge Semantics Inc. All rights reserved. Anzo for AI Case Study - Patient Safety Automated Ingestion/ Profiling Knowledge GraphsData Layers Feature Selection/ Engineering TEXT ANALYTICS LAYER FEATURE SELECTION LAYER MACHINE LEARNING LAYER ● Predicted Value ● Accuracy Measure Machine Learning APIs Feature Selection in Anzo ML Data Layer Options in Anzo
  • 19. ©2018 Cambridge Semantics Inc. All rights reserved. Where People, Data and Algorithms Collaborate for AI Add User Inputs for Smarter Results Explore, Prepare, and Analyze Data Code-Free Answer Questions on the Fly Using Connected Data Link Disparate Data Using Business-Friendly Models All Data With Context and Lineage Layers to effect stepwise data processing Apply Algorithms of Choice Using Data Layers Preserve Algorithm Attributes using Models People Data Algorithms
  • 20. ©2018 Cambridge Semantics Inc. All rights reserved. Exploration AccessData Layers Data Ingest Today, a 4-8 week engagement with Anzo 4.0 implements end- to-end capability and delivers real business value 2-4 Weeks2-4 Weeks 2-4 Weeks
  • 21. ©2018 Cambridge Semantics Inc. All rights reserved. Visit us for a Demo! Cambridge Semantics Booth #1037 © 2018 Cambridge Semantics Inc. All rights reserved. Forrester’s Big Data Fabric Wave (June 2018)