EY: Graphs as Critical Enablers for LLM-based Assistants- the Case of Customer Onboarding
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Kenneth Nielsen explains how LLMs & Graph fit together like hand in glove – not only for next level RAG, but also for laying the foundation for doing cross-org analytics not possible today, like KYC
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EY: Graphs as Critical Enablers for LLM-based Assistants- the Case of Customer Onboarding
- 1. Graphs as Critical Enablers for LLM- based Assistants - the Case of Customer Onboarding Graph Summit March 7, 2024 Kenneth HM Nielsen Director, Head of AI & Data, EY Financial Services
- 2. Page 2 1. What is a Knowledge Graph 2. KYC… what? 3. LLM- empowering KYC Officers 4. Put some perspective on that! Today’s agenda
- 3. Page 3 What is a Knowledge Graph? Product Regulation Advisor Governance Board Business unit Customer
- 4. Page 4 KnowYour Customer (KYC) Process –The Manual Way (1/2) Hi, My name is Rick Sanchez, I am currently setting up a company called Huonoja Aikomuksia and would like to become a customer. The business purpose is to sell guns and ammo, mainly for crypto. I need a couple of accounts, with a smaller credit to get things started. We will have some foreign transactions … • Name: Rick Sanchez • Business type: Limited Liability Company • Purpose of the company: Sell guns and ammo for crypto • Location: Copenhagen • Number of employees: 2 • Gross profit (expected): app. 2 mDKK (2024) • Foreign transactions: Yes • Amount: …
- 5. Page 5 KnowYour Customer (KYC) Process –The (very) Manual Way (2/2)
- 6. Page 6 Combining In-house Knowledge Graphs with External Data takes you from Data Headache to Data Heaven
- 7. Page 7 KnowYour Customer – the LLM&Graph-powered way
- 8. Page 8 Using LLMs and business subject matter experts for constructing knowledge graphs enables next level RAG and graph-derived insights
- 9. Page 9 Using LLMs and business subject matter experts for constructing knowledge graphs enables next level RAG and graph-derived insights
- 10. Page 10 Using LLMs and business subject matter experts for constructing knowledge graphs enables next level RAG and graph-derived insights Renowned Scientist Entangled in Labor Abuse Scandal Date: 17/08/2023 Reports surfaced late Sunday night that esteemed scientist Professor Farnsworth's venture, ABC Holding LP, is implicated in forced labor ties, promptly sending shockwaves across the scientific and corporate communities. Maneuvering swiftly in response to these allegations, a number of business partners have severed ties with ABC Holding LP, leading to a rapid decline in its stock prices. The company's once stellar reputation is taking a hit, as grim reports shed light on troubling links to overseas factories known for severe labor rights abuses. Details of grueling work conditions, subpar compensation, and systematic exploitation present a harsh dichotomy to the organized, progressive face of corporate operations widely promulgated today. This revelation places the unassuming Professor Farnsworth under stringent scrutiny, marking a severe departure from his previously celebrated figure in scientific and entrepreneurial circles. While compelled partners are cutting connections with ABC Holding LP as the controversy unfolds, industry groups and labor rights organizations have sounded a clarion call for corporate transparency in labor sourcing. This scandal has further underscored the urgent need to intensify regulatory oversight in this area. The old adage - the higher they climb, the harder they fall - seems to have been leveraged against Farnsworth's enterprise. ABC Holding LP and Professor Farnsworth himself are currently positioned precariously on the fulcrum of this unfolding scenario. It remains yet to be seen how the company navigates through this storm, and more importantly, how it can restore public confidence in the face of such pressing concerns threatening its very corporate fiber. As we trail the ongoing saga, it is clear that pivotal decisions and revelations await that could shape not just the future of ABC Holding LP, but also the broader arena of ethical business conduct.
- 11. Page 12 Themes where LLMs and Graphs form a Strong Symbioses forTaking your VAs to the Next Level “How will this new regulation impact us?” “I wonder how this component fits with … “ “Who and how are our customers?”
- 12. Page 13 Thank you for listening!
Notes de l'éditeur
- Intro – AI&Data LLMs+ Graph fit together like hand in glove – not only for next level RAG, but also for laying the foundation for doing cross-org analytics not possible today Cannot take honor for calling graphs critical enablers, that goes to Gartner
- A knowledge graph represents a network of real-world entities—such as objects, events, situations or concepts—and illustrates the relationship between them
- A new corporate customer is being onboarded in the Bank. No red flags are found in the onboarding process. The owner is easy going and replies to any requests. Nothing is found by the Bank’s usual systems: credit score, screening (AMS, PEP, Sanctions).
- Is RICK a politically exposed person (PEP) or closely related to one? Is Rick on a sanctions list, i.e. are we prohibited from having him as a customer off the bat? … External sources: is Rick associated to other companies? Does he owe the state a lot of money? Is he registered as a bad payer? Social media… Time-consuming process with room for manual errors!
- Three part-solution GDPR scanner – developed over several years with DPOs, CCOs, etc… LLMs made the solution even better You can not only search across but actually do graph analytics on your structured and unstructured data CVR2Graph module – start from anchor point (person, CVR number, etc…) and generate graph Finally, the prompting front end ties it all together and makes all this information available to the KYC officer through the prompt By having a knowledge graph available, the RAG is able to provide answers across complex patterns
- C8H10N4O2 – something you all enjoy everyday Information => make decision Everything will be logged using a graph to ensure audit trail and identification of key data sources Of course you can ask, why even do all this prompting, and you are right! …