SlideShare a Scribd company logo
Discovering Insights in your Data
Industry Case Studies
Marty Loughlin, Vice President, Financial Services Sales
©2018 Cambridge Semantics Inc. All rights reserved.
Financial Services Data Fabric
Trading
CRM
Loan
…
AML
Fraud Detection
Insider Threats
Recommendation
KYC/Customer 360
Regulatory ReportingKnowledge Graph
(Canonical Model/FIBO)
Line of Business
(Curated Data Catalog)
Enterprise
(Data Lake, Source Catalog)
3rd party
data
services
Finding Alpha
Logs
Digital Assistants
‘Graphy’Usecases
©2018 Cambridge Semantics Inc. All rights reserved.
The Data Fabric Address 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 Hadoop2
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.
Alternative Data
American Airlines: Stock Price vs # of Delayed Flights Honolulu Airport Information
Jetblue 360 View
©2018 Cambridge Semantics Inc. All rights reserved.
Risk Analytics
©2018 Cambridge Semantics Inc. All rights reserved.
Trade Surveillance
©2018 Cambridge Semantics Inc. All rights reserved.
Trade Surveillance
©2018 Cambridge Semantics Inc. All rights reserved.
Fraud Analytics
As-Is Data Graph
(Transliterated to Graph)
Auto-ETL
Dashboard
Profiling
Graph Mart
Schema & Data
Conceptual Model
ETLMap
ELT
ELT
Most Active Real Estate Communities
©2018 Cambridge Semantics Inc. All rights reserved.
Investment Research
©2018 Cambridge Semantics Inc. All rights reserved.
Data Harmonization & Migration
Data Feed on-Boarding
Before
• Multiple SMEs
• 6-12 months to add new feed
• $500K - $1M
After
• Single SME
• 1-3 months to add new feed
• $50K - $100K
LoanIQ
Hive
©2018 Cambridge Semantics Inc. All rights reserved.
Key Takeaways
• Today’s data challenges need a new approach
• Semantic knowledge graphs are a powerful option
• Enterprise class platforms are available today
• Transformation takes time, start now
• Start small, select impactful use cases

More Related Content

What's hot

Data Science Capability Framework
Data Science Capability FrameworkData Science Capability Framework
Data Science Capability Framework
Craig Milroy
 
Data monetization webinar
Data monetization webinarData monetization webinar
Data monetization webinar
Karan Sachdeva
 
Pres_Big Data for Finance_vsaini
Pres_Big Data for Finance_vsainiPres_Big Data for Finance_vsaini
Pres_Big Data for Finance_vsaini
Vandana Saini (Vinnie)
 
Snapshot DaaS - B2B data as a service
Snapshot DaaS - B2B data as a serviceSnapshot DaaS - B2B data as a service
Snapshot DaaS - B2B data as a service
Charles Bedard
 
Customer Experience Management
Customer Experience ManagementCustomer Experience Management
Customer Experience Management
TigerGraph
 
Top Ten Big Data Trends in Finance
Top Ten Big Data Trends in FinanceTop Ten Big Data Trends in Finance
Top Ten Big Data Trends in Finance
PromptCloud
 
Chief Data Officer: Customer Analytics Innovation
Chief Data Officer: Customer Analytics InnovationChief Data Officer: Customer Analytics Innovation
Chief Data Officer: Customer Analytics Innovation
Craig Milroy
 
Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLE
Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLEBig Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLE
Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLE
Matt Stubbs
 
Data Monetization Framework
Data Monetization FrameworkData Monetization Framework
Data Monetization Framework
Arvind Radhakrishnen
 
Catalysing Sector Advantage
Catalysing Sector AdvantageCatalysing Sector Advantage
Catalysing Sector Advantage
Chandan Rajah
 
Innovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCS
Innovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCSInnovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCS
Innovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCS
Tata Consultancy Services
 
Big data it’s impact on the finance function
Big data it’s impact on the finance functionBig data it’s impact on the finance function
Big data it’s impact on the finance function
Mike Davis
 
How to identify the Return on Investment of Big Data / CIO (Infographic)
How to identify the Return on Investment of Big Data / CIO (Infographic)How to identify the Return on Investment of Big Data / CIO (Infographic)
How to identify the Return on Investment of Big Data / CIO (Infographic)
suparupaa
 
Nathalie Morris - AIMCON
Nathalie Morris - AIMCONNathalie Morris - AIMCON
Nathalie Morris - AIMCON
Justin Flitter
 
BigData and Beyond
BigData and BeyondBigData and Beyond
BigData and Beyond
John Avery
 
Using Big Data in Finance by Jonah Engler
Using Big Data in Finance by Jonah EnglerUsing Big Data in Finance by Jonah Engler
Using Big Data in Finance by Jonah Engler
Jonah Engler
 
The top 7 technology trends for 2019
The top 7 technology trends for 2019The top 7 technology trends for 2019
The top 7 technology trends for 2019
Mark van Rijmenam
 
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
Etu Solution
 
Platfora Data Visualization Meetup
Platfora Data Visualization MeetupPlatfora Data Visualization Meetup
Platfora Data Visualization Meetup
Platfora
 
Data Privacy in the Work From Home Era
Data Privacy in the Work From Home EraData Privacy in the Work From Home Era
Data Privacy in the Work From Home Era
Neo4j
 

What's hot (20)

Data Science Capability Framework
Data Science Capability FrameworkData Science Capability Framework
Data Science Capability Framework
 
Data monetization webinar
Data monetization webinarData monetization webinar
Data monetization webinar
 
Pres_Big Data for Finance_vsaini
Pres_Big Data for Finance_vsainiPres_Big Data for Finance_vsaini
Pres_Big Data for Finance_vsaini
 
Snapshot DaaS - B2B data as a service
Snapshot DaaS - B2B data as a serviceSnapshot DaaS - B2B data as a service
Snapshot DaaS - B2B data as a service
 
Customer Experience Management
Customer Experience ManagementCustomer Experience Management
Customer Experience Management
 
Top Ten Big Data Trends in Finance
Top Ten Big Data Trends in FinanceTop Ten Big Data Trends in Finance
Top Ten Big Data Trends in Finance
 
Chief Data Officer: Customer Analytics Innovation
Chief Data Officer: Customer Analytics InnovationChief Data Officer: Customer Analytics Innovation
Chief Data Officer: Customer Analytics Innovation
 
Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLE
Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLEBig Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLE
Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLE
 
Data Monetization Framework
Data Monetization FrameworkData Monetization Framework
Data Monetization Framework
 
Catalysing Sector Advantage
Catalysing Sector AdvantageCatalysing Sector Advantage
Catalysing Sector Advantage
 
Innovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCS
Innovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCSInnovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCS
Innovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCS
 
Big data it’s impact on the finance function
Big data it’s impact on the finance functionBig data it’s impact on the finance function
Big data it’s impact on the finance function
 
How to identify the Return on Investment of Big Data / CIO (Infographic)
How to identify the Return on Investment of Big Data / CIO (Infographic)How to identify the Return on Investment of Big Data / CIO (Infographic)
How to identify the Return on Investment of Big Data / CIO (Infographic)
 
Nathalie Morris - AIMCON
Nathalie Morris - AIMCONNathalie Morris - AIMCON
Nathalie Morris - AIMCON
 
BigData and Beyond
BigData and BeyondBigData and Beyond
BigData and Beyond
 
Using Big Data in Finance by Jonah Engler
Using Big Data in Finance by Jonah EnglerUsing Big Data in Finance by Jonah Engler
Using Big Data in Finance by Jonah Engler
 
The top 7 technology trends for 2019
The top 7 technology trends for 2019The top 7 technology trends for 2019
The top 7 technology trends for 2019
 
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
 
Platfora Data Visualization Meetup
Platfora Data Visualization MeetupPlatfora Data Visualization Meetup
Platfora Data Visualization Meetup
 
Data Privacy in the Work From Home Era
Data Privacy in the Work From Home EraData Privacy in the Work From Home Era
Data Privacy in the Work From Home Era
 

Similar to Edmc use cases 2018 v2

Edmc use cases 2018 nyc
Edmc use cases 2018   nycEdmc use cases 2018   nyc
Edmc use cases 2018 nyc
Marty Loughlin
 
The future of FinTech product using pervasive Machine Learning automation - A...
The future of FinTech product using pervasive Machine Learning automation - A...The future of FinTech product using pervasive Machine Learning automation - A...
The future of FinTech product using pervasive Machine Learning automation - A...
Shift Conference
 
Meeting Business Data Needs The AI and ML Frontier in Data Capture Services
Meeting Business Data Needs The AI and ML Frontier in Data Capture ServicesMeeting Business Data Needs The AI and ML Frontier in Data Capture Services
Meeting Business Data Needs The AI and ML Frontier in Data Capture Services
Andrew Leo
 
Enabling digital business with governed data lake
Enabling digital business with governed data lakeEnabling digital business with governed data lake
Enabling digital business with governed data lake
Karan Sachdeva
 
Accelerate Your Move to the Cloud with Data Catalogs and Governance
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceAccelerate Your Move to the Cloud with Data Catalogs and Governance
Accelerate Your Move to the Cloud with Data Catalogs and Governance
DATAVERSITY
 
The Year of the Graph
The Year of the GraphThe Year of the Graph
The Year of the Graph
Cambridge Semantics
 
The Disappearing Data Scientist
The Disappearing Data ScientistThe Disappearing Data Scientist
The Disappearing Data Scientist
DATAVERSITY
 
Better Business From Exploring Ideas - AWS Summit Sydney 2018
Better Business From Exploring Ideas - AWS Summit Sydney 2018Better Business From Exploring Ideas - AWS Summit Sydney 2018
Better Business From Exploring Ideas - AWS Summit Sydney 2018
Amazon Web Services
 
Designing the Next Generation Data Lake
Designing the Next Generation Data LakeDesigning the Next Generation Data Lake
Designing the Next Generation Data Lake
Robert Chong
 
LEGOAI Introduction.pdf
LEGOAI Introduction.pdfLEGOAI Introduction.pdf
LEGOAI Introduction.pdf
Prinkan Pal
 
Réinventez le Data Management avec la Data Virtualization de Denodo
Réinventez le Data Management avec la Data Virtualization de DenodoRéinventez le Data Management avec la Data Virtualization de Denodo
Réinventez le Data Management avec la Data Virtualization de Denodo
Denodo
 
What is AI without Data?
What is AI without Data?What is AI without Data?
What is AI without Data?
InnoTech
 
Better Business from Exploring Ideas - Modern Data Architectures on AWS
Better Business from Exploring Ideas - Modern Data Architectures on AWSBetter Business from Exploring Ideas - Modern Data Architectures on AWS
Better Business from Exploring Ideas - Modern Data Architectures on AWS
Amazon Web Services
 
Accelerate Your Move to the Cloud with Data Catalogs and Governance
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceAccelerate Your Move to the Cloud with Data Catalogs and Governance
Accelerate Your Move to the Cloud with Data Catalogs and Governance
DATAVERSITY
 
Your AI Transformation
Your AI Transformation Your AI Transformation
Your AI Transformation
Sri Ambati
 
Big Data Security Analytics (BDSA) with Randy Franklin
Big Data Security Analytics (BDSA) with Randy FranklinBig Data Security Analytics (BDSA) with Randy Franklin
Big Data Security Analytics (BDSA) with Randy Franklin
Sridhar Karnam
 
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Amazon Web Services
 
How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018
How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018
How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018
Amazon Web Services
 
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
Amazon Web Services
 
[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...
[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...
[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...
AIIM International
 

Similar to Edmc use cases 2018 v2 (20)

Edmc use cases 2018 nyc
Edmc use cases 2018   nycEdmc use cases 2018   nyc
Edmc use cases 2018 nyc
 
The future of FinTech product using pervasive Machine Learning automation - A...
The future of FinTech product using pervasive Machine Learning automation - A...The future of FinTech product using pervasive Machine Learning automation - A...
The future of FinTech product using pervasive Machine Learning automation - A...
 
Meeting Business Data Needs The AI and ML Frontier in Data Capture Services
Meeting Business Data Needs The AI and ML Frontier in Data Capture ServicesMeeting Business Data Needs The AI and ML Frontier in Data Capture Services
Meeting Business Data Needs The AI and ML Frontier in Data Capture Services
 
Enabling digital business with governed data lake
Enabling digital business with governed data lakeEnabling digital business with governed data lake
Enabling digital business with governed data lake
 
Accelerate Your Move to the Cloud with Data Catalogs and Governance
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceAccelerate Your Move to the Cloud with Data Catalogs and Governance
Accelerate Your Move to the Cloud with Data Catalogs and Governance
 
The Year of the Graph
The Year of the GraphThe Year of the Graph
The Year of the Graph
 
The Disappearing Data Scientist
The Disappearing Data ScientistThe Disappearing Data Scientist
The Disappearing Data Scientist
 
Better Business From Exploring Ideas - AWS Summit Sydney 2018
Better Business From Exploring Ideas - AWS Summit Sydney 2018Better Business From Exploring Ideas - AWS Summit Sydney 2018
Better Business From Exploring Ideas - AWS Summit Sydney 2018
 
Designing the Next Generation Data Lake
Designing the Next Generation Data LakeDesigning the Next Generation Data Lake
Designing the Next Generation Data Lake
 
LEGOAI Introduction.pdf
LEGOAI Introduction.pdfLEGOAI Introduction.pdf
LEGOAI Introduction.pdf
 
Réinventez le Data Management avec la Data Virtualization de Denodo
Réinventez le Data Management avec la Data Virtualization de DenodoRéinventez le Data Management avec la Data Virtualization de Denodo
Réinventez le Data Management avec la Data Virtualization de Denodo
 
What is AI without Data?
What is AI without Data?What is AI without Data?
What is AI without Data?
 
Better Business from Exploring Ideas - Modern Data Architectures on AWS
Better Business from Exploring Ideas - Modern Data Architectures on AWSBetter Business from Exploring Ideas - Modern Data Architectures on AWS
Better Business from Exploring Ideas - Modern Data Architectures on AWS
 
Accelerate Your Move to the Cloud with Data Catalogs and Governance
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceAccelerate Your Move to the Cloud with Data Catalogs and Governance
Accelerate Your Move to the Cloud with Data Catalogs and Governance
 
Your AI Transformation
Your AI Transformation Your AI Transformation
Your AI Transformation
 
Big Data Security Analytics (BDSA) with Randy Franklin
Big Data Security Analytics (BDSA) with Randy FranklinBig Data Security Analytics (BDSA) with Randy Franklin
Big Data Security Analytics (BDSA) with Randy Franklin
 
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
 
How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018
How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018
How to Quickly Get Insights from IoT Data on AWS (ANT337-S) - AWS re:Invent 2018
 
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
 
[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...
[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...
[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...
 

Recently uploaded

Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Rohit Gautam
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Zilliz
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
Claudio Di Ciccio
 
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Zilliz
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Vladimir Iglovikov, Ph.D.
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Zilliz
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 

Recently uploaded (20)

Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
 
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 

Edmc use cases 2018 v2

  • 1. Discovering Insights in your Data Industry Case Studies Marty Loughlin, Vice President, Financial Services Sales
  • 2. ©2018 Cambridge Semantics Inc. All rights reserved. Financial Services Data Fabric Trading CRM Loan … AML Fraud Detection Insider Threats Recommendation KYC/Customer 360 Regulatory ReportingKnowledge Graph (Canonical Model/FIBO) Line of Business (Curated Data Catalog) Enterprise (Data Lake, Source Catalog) 3rd party data services Finding Alpha Logs Digital Assistants ‘Graphy’Usecases
  • 3. ©2018 Cambridge Semantics Inc. All rights reserved. The Data Fabric Address 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 Hadoop2 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
  • 4. ©2018 Cambridge Semantics Inc. All rights reserved. Alternative Data American Airlines: Stock Price vs # of Delayed Flights Honolulu Airport Information Jetblue 360 View
  • 5. ©2018 Cambridge Semantics Inc. All rights reserved. Risk Analytics
  • 6. ©2018 Cambridge Semantics Inc. All rights reserved. Trade Surveillance
  • 7. ©2018 Cambridge Semantics Inc. All rights reserved. Trade Surveillance
  • 8. ©2018 Cambridge Semantics Inc. All rights reserved. Fraud Analytics As-Is Data Graph (Transliterated to Graph) Auto-ETL Dashboard Profiling Graph Mart Schema & Data Conceptual Model ETLMap ELT ELT Most Active Real Estate Communities
  • 9. ©2018 Cambridge Semantics Inc. All rights reserved. Investment Research
  • 10. ©2018 Cambridge Semantics Inc. All rights reserved. Data Harmonization & Migration Data Feed on-Boarding Before • Multiple SMEs • 6-12 months to add new feed • $500K - $1M After • Single SME • 1-3 months to add new feed • $50K - $100K LoanIQ Hive
  • 11. ©2018 Cambridge Semantics Inc. All rights reserved. Key Takeaways • Today’s data challenges need a new approach • Semantic knowledge graphs are a powerful option • Enterprise class platforms are available today • Transformation takes time, start now • Start small, select impactful use cases