James Phare's slides from his talk at Connected Data London. James is a managing director of Data to Value, he presented what are the best ways to make use of this emerging Connected Data technology to better fight financial crime.
Status of Beneficial Ownership Transparency in CanadaAlessa
CaseWare RCM hosted an event with Transparency International Canada to discuss the state of beneficial ownership regulations in Canada. Here is what they had to say.
About Alessa, a CaseWare RCM product:
Alessa is a financial crime detection, prevention and management solution offered by CaseWare RCM Inc. With deployments in more than 20 countries in banking, insurance, FinTech, gaming, manufacturing, retail and more, Alessa is the only platform organizations need to identify high-risk activities and stay ahead of compliance. To learn more about how Alessa can help your organization ensure compliance, detect complex fraud schemes, and prevent waste, abuse and misuse, visit us at caseware.com/alessa.
Connect with us online:
Visit the Alessa WEBSITE: https://www.caseware.com/alessa/
Follow Alessa on LINKEDIN: https://www.linkedin.com/caseware-alessa
Follow Alessa on TWITTER: https://twitter.com/casewarealessa
SUBSCRIBE to Alessa on YouTube: http://tiny.cc/Alessa
Beneficial Ownership Rules: Global and Canada PerspectiveAlessa
WATCH WEBINAR: https://www.caseware.com/alessa/webinars/beneficial-ownership-us-canada-eu-rules/
Legislation and regulations around beneficial ownership information is changing across various jurisdictions: Private registry? Public registry? Access? Information collected? Obligations? Privacy? - there are many issues and aspects to consider.
In this presentation, James Cohen, Executive Director at Transparency International (TI) Canada, provides an overview of current corporate transparency regulations across various jurisdictions and the status of their implementation. He will pay special attention to the progress that has been made in Canada – both at a provincial and federal level.
Finally, James will outline the framework that TI Canada has set forth for a made-in-Canada registry and the reasons for their position.
About Alessa, a CaseWare RCM product:
Alessa is a financial crime detection, prevention and management solution offered by CaseWare RCM Inc. With deployments in more than 20 countries in banking, insurance, FinTech, gaming, manufacturing, retail and more, Alessa is the only platform organizations need to identify high-risk activities and stay ahead of compliance. To learn more about how Alessa can help your organization ensure compliance, detect complex fraud schemes, and prevent waste, abuse and misuse, visit us at caseware.com/alessa.
Connect with us online:
Visit the Alessa WEBSITE: https://www.caseware.com/alessa/
Follow Alessa on LINKEDIN: https://www.linkedin.com/caseware-alessa
Follow Alessa on TWITTER: https://twitter.com/casewarealessa
SUBSCRIBE to Alessa on YouTube: http://tiny.cc/Alessa
GT Events and Program Guide is a look ahead at the latest knowledge and insights available from Grant Thornton LLP. It includes a collection of our research, thought leadership and a schedule of upcoming webcasts and events.
An exploration of how to bring about transparency and fairness in commercial credit by putting business owners in charge of their data. Commercial credit evaluations cover trade credit ($2T) as well as small business loans, alternative lending and procurement ($2T).
In this whitepaper we assess the gambling and gaming industry’s KYC and AML compliance challenges. Gambling identity verification processes can be complex, time consuming, and impact the customer experience. With a growing competitive landscape, the chances a customer may go elsewhere are high. This is where a frictionless, seamless, and quick onboarding service can add value – reduce abandonment, increase conversion rates, and accelerate the time-to-revenue. Visit https://evalid.io for more info!
Status of Beneficial Ownership Transparency in CanadaAlessa
CaseWare RCM hosted an event with Transparency International Canada to discuss the state of beneficial ownership regulations in Canada. Here is what they had to say.
About Alessa, a CaseWare RCM product:
Alessa is a financial crime detection, prevention and management solution offered by CaseWare RCM Inc. With deployments in more than 20 countries in banking, insurance, FinTech, gaming, manufacturing, retail and more, Alessa is the only platform organizations need to identify high-risk activities and stay ahead of compliance. To learn more about how Alessa can help your organization ensure compliance, detect complex fraud schemes, and prevent waste, abuse and misuse, visit us at caseware.com/alessa.
Connect with us online:
Visit the Alessa WEBSITE: https://www.caseware.com/alessa/
Follow Alessa on LINKEDIN: https://www.linkedin.com/caseware-alessa
Follow Alessa on TWITTER: https://twitter.com/casewarealessa
SUBSCRIBE to Alessa on YouTube: http://tiny.cc/Alessa
Beneficial Ownership Rules: Global and Canada PerspectiveAlessa
WATCH WEBINAR: https://www.caseware.com/alessa/webinars/beneficial-ownership-us-canada-eu-rules/
Legislation and regulations around beneficial ownership information is changing across various jurisdictions: Private registry? Public registry? Access? Information collected? Obligations? Privacy? - there are many issues and aspects to consider.
In this presentation, James Cohen, Executive Director at Transparency International (TI) Canada, provides an overview of current corporate transparency regulations across various jurisdictions and the status of their implementation. He will pay special attention to the progress that has been made in Canada – both at a provincial and federal level.
Finally, James will outline the framework that TI Canada has set forth for a made-in-Canada registry and the reasons for their position.
About Alessa, a CaseWare RCM product:
Alessa is a financial crime detection, prevention and management solution offered by CaseWare RCM Inc. With deployments in more than 20 countries in banking, insurance, FinTech, gaming, manufacturing, retail and more, Alessa is the only platform organizations need to identify high-risk activities and stay ahead of compliance. To learn more about how Alessa can help your organization ensure compliance, detect complex fraud schemes, and prevent waste, abuse and misuse, visit us at caseware.com/alessa.
Connect with us online:
Visit the Alessa WEBSITE: https://www.caseware.com/alessa/
Follow Alessa on LINKEDIN: https://www.linkedin.com/caseware-alessa
Follow Alessa on TWITTER: https://twitter.com/casewarealessa
SUBSCRIBE to Alessa on YouTube: http://tiny.cc/Alessa
GT Events and Program Guide is a look ahead at the latest knowledge and insights available from Grant Thornton LLP. It includes a collection of our research, thought leadership and a schedule of upcoming webcasts and events.
An exploration of how to bring about transparency and fairness in commercial credit by putting business owners in charge of their data. Commercial credit evaluations cover trade credit ($2T) as well as small business loans, alternative lending and procurement ($2T).
In this whitepaper we assess the gambling and gaming industry’s KYC and AML compliance challenges. Gambling identity verification processes can be complex, time consuming, and impact the customer experience. With a growing competitive landscape, the chances a customer may go elsewhere are high. This is where a frictionless, seamless, and quick onboarding service can add value – reduce abandonment, increase conversion rates, and accelerate the time-to-revenue. Visit https://evalid.io for more info!
NextGenJustice serves members of the military, working-class families and small businesses that are overwhelmed with their legal affairs. For too long consumers have been priced out of the market by high fees and national websites. Our tribe of Legal Solutions Managers and conveniently local retail stores provide the legal solutions at prices you can afford with service you deserve. With an ambitious nationwide expansion plan, our current locations are in Watertown, NY, Syracuse, NY, Tampa, FL and Jacksonville, FL. Our website is www.NextGenJustice.com
Forensic Auditors To The Fore On Increasing White Collar CrimesVeriti Consulting LLC
Financial experts report forensic auditors have become part of the business in India as corporate white collar crimes continue to rise throughout the country.
Veriti Consulting LLC provides professional forensic accounting services across the United States. To speak with a professional forensic accountant call 855.232.4410
The Enemy at the Gates: Payments Fraud Is a Symptommercatoradvisory
New research from Mercator Advisory Group examines increased global cyber threat, payments fraud, and how to manage the risks.
Cybercrime is a global and growing phenomenon tied to a combination of factors that includes the new era of global economic interdependency along with rapidly changing technology, according to a new research report from Mercator Advisory Group. These factors create opportunities for criminals to find new and often faster ways to defraud businesses of all sizes. Data breaches will inevitably lead to follow-on activities that take advantage of people, holes in processes, and cracks in systems to transfer wealth from legitimate sources to fraudsters across the globe. A range of activities can be undertaken by companies to create better protective cover around organizational data and prevent or limit the damage from payments fraud.
Findings from India Fraud Survey 2012: Fraud and Corporate Governance - Chang...EY
A report based on a survey conducted to understand the fraud scenario in India. This study aims to understand how businesses have coped with increasing fraud and corruption risk last year, what the emerging fraud risks in the industry are and the measures taken by various organizations to mitigate these risks.
For further information on EY's fraud investigation and dispute services, please visit: http://www.ey.com/IN/en/Services/Assurance/Fraud-Investigation---Dispute-Services
Supply chain financial crime rates holding steady, but few tap blockchain to ...Deloitte United States
During the past five years, an average of 31.1 percent of respondents to annual Deloitte polls say their organizations have experienced supply chain financial crime—particularly fraud, waste or abuse—in the preceding year. Yet, in a 2018 poll, just 15.1 percent of respondents report their organizations are using (3.9 percent) or piloting (11.2 percent) blockchain to help mitigate financial crime risks in their supply chains. See more responses from over 2,430 professionals were polled online during a Deloitte Dbriefs webcast, titled “Supply chain forensics: New insights on fraud, waste and abuse,” on July 24, 2018.
The Unseen Enemy - Protecting the Brand, the Assets and the Customers BDO_Consulting
Michael Barba and Jeff Hall discuss the most pressing cyber-threats facing retailers and what companies can do in the event of a cyber breach, data loss or claim. Mr. Barba is a managing director and Mr. Hall is a senior manager with BDO Consulting.
Trade-based money laundering is among the most sophisticated methods for cleaning dirty money. It involves a variety of schemes designed to obscure the documentation of legitimate trade transactions. It’s also one of the most difficult to detect, and a serious challenge for compliance officers and investigators.
Join financial crime compliance advisory and training specialist Michael Schidlow, as he examines one of the most lucrative forms of money laundering.
This paper was presented at several conferences around the world, it is a few years old, but the concepts, trends and risks identfied in the is paper are still relevant today
Learn how fraudsters compromise email accounts and trick employees into wiring them money. Read how the scam works, why it's so effective, and how to prevent it.
Fortify Your Enterprise with IBM Smarter Counter-Fraud SolutionsPerficient, Inc.
Organizations lose an estimated five percent of annual revenues to fraud, totaling nearly $1 trillion in the U.S. alone. Cyber criminals are more organized and better equipped than ever, and continue to evolve their strategies in order to undermine even the strongest protections.
We continue to hear about major security breaches across all industries, but what is being done to fix the problem? There must be a tight interlock between risk, security, fraud and financial crimes management. Current solutions are proving inadequate as point solutions and a corporate silo mentality directly contribute to the risk of fraudulent activities going undetected.
Our webinar covered:
-How IBM’s Smarter Counter Fraud initiative can help public and private organizations prevent, identify and investigate fraudulent activities
-Real-world use cases including how one financial institution stopped $1M in fraud in the first week after implementing a counter-fraud solution
-Perficient’s multi-tiered approach to help guide successful business outcomes
It’s time to stop the bad guys with IBM Smarter Counter Fraud and Perficient – learn how now!
NextGenJustice serves members of the military, working-class families and small businesses that are overwhelmed with their legal affairs. For too long consumers have been priced out of the market by high fees and national websites. Our tribe of Legal Solutions Managers and conveniently local retail stores provide the legal solutions at prices you can afford with service you deserve. With an ambitious nationwide expansion plan, our current locations are in Watertown, NY, Syracuse, NY, Tampa, FL and Jacksonville, FL. Our website is www.NextGenJustice.com
Forensic Auditors To The Fore On Increasing White Collar CrimesVeriti Consulting LLC
Financial experts report forensic auditors have become part of the business in India as corporate white collar crimes continue to rise throughout the country.
Veriti Consulting LLC provides professional forensic accounting services across the United States. To speak with a professional forensic accountant call 855.232.4410
The Enemy at the Gates: Payments Fraud Is a Symptommercatoradvisory
New research from Mercator Advisory Group examines increased global cyber threat, payments fraud, and how to manage the risks.
Cybercrime is a global and growing phenomenon tied to a combination of factors that includes the new era of global economic interdependency along with rapidly changing technology, according to a new research report from Mercator Advisory Group. These factors create opportunities for criminals to find new and often faster ways to defraud businesses of all sizes. Data breaches will inevitably lead to follow-on activities that take advantage of people, holes in processes, and cracks in systems to transfer wealth from legitimate sources to fraudsters across the globe. A range of activities can be undertaken by companies to create better protective cover around organizational data and prevent or limit the damage from payments fraud.
Findings from India Fraud Survey 2012: Fraud and Corporate Governance - Chang...EY
A report based on a survey conducted to understand the fraud scenario in India. This study aims to understand how businesses have coped with increasing fraud and corruption risk last year, what the emerging fraud risks in the industry are and the measures taken by various organizations to mitigate these risks.
For further information on EY's fraud investigation and dispute services, please visit: http://www.ey.com/IN/en/Services/Assurance/Fraud-Investigation---Dispute-Services
Supply chain financial crime rates holding steady, but few tap blockchain to ...Deloitte United States
During the past five years, an average of 31.1 percent of respondents to annual Deloitte polls say their organizations have experienced supply chain financial crime—particularly fraud, waste or abuse—in the preceding year. Yet, in a 2018 poll, just 15.1 percent of respondents report their organizations are using (3.9 percent) or piloting (11.2 percent) blockchain to help mitigate financial crime risks in their supply chains. See more responses from over 2,430 professionals were polled online during a Deloitte Dbriefs webcast, titled “Supply chain forensics: New insights on fraud, waste and abuse,” on July 24, 2018.
The Unseen Enemy - Protecting the Brand, the Assets and the Customers BDO_Consulting
Michael Barba and Jeff Hall discuss the most pressing cyber-threats facing retailers and what companies can do in the event of a cyber breach, data loss or claim. Mr. Barba is a managing director and Mr. Hall is a senior manager with BDO Consulting.
Trade-based money laundering is among the most sophisticated methods for cleaning dirty money. It involves a variety of schemes designed to obscure the documentation of legitimate trade transactions. It’s also one of the most difficult to detect, and a serious challenge for compliance officers and investigators.
Join financial crime compliance advisory and training specialist Michael Schidlow, as he examines one of the most lucrative forms of money laundering.
This paper was presented at several conferences around the world, it is a few years old, but the concepts, trends and risks identfied in the is paper are still relevant today
Learn how fraudsters compromise email accounts and trick employees into wiring them money. Read how the scam works, why it's so effective, and how to prevent it.
Fortify Your Enterprise with IBM Smarter Counter-Fraud SolutionsPerficient, Inc.
Organizations lose an estimated five percent of annual revenues to fraud, totaling nearly $1 trillion in the U.S. alone. Cyber criminals are more organized and better equipped than ever, and continue to evolve their strategies in order to undermine even the strongest protections.
We continue to hear about major security breaches across all industries, but what is being done to fix the problem? There must be a tight interlock between risk, security, fraud and financial crimes management. Current solutions are proving inadequate as point solutions and a corporate silo mentality directly contribute to the risk of fraudulent activities going undetected.
Our webinar covered:
-How IBM’s Smarter Counter Fraud initiative can help public and private organizations prevent, identify and investigate fraudulent activities
-Real-world use cases including how one financial institution stopped $1M in fraud in the first week after implementing a counter-fraud solution
-Perficient’s multi-tiered approach to help guide successful business outcomes
It’s time to stop the bad guys with IBM Smarter Counter Fraud and Perficient – learn how now!
#IBMInsight session presentation "Mitigate Risk, Combat Fraud and Financial Crimes"
The Issue of fraud, challenges, fighting fraud as an enterprise endeavor, IBM Smarter counter fraud framework and IBM Counter Fraud business services
More at ibm.biz/BdEPRH
Please find and upload an article on ONE of the following topics and.pdfJUSTSTYLISH3B2MOHALI
Please find and upload an article on ONE of the following topics and discuss it\'s significance by
Monday at midnight. Then, read and review three other articles submitted by your classmates by
Wednesday at midnight:
A. Financial Systems Fraud
B. Data Coding Schemes
C. DFD/ERDs
please type here
Solution
A) financial system fraud
The Association of Certified Fraud Examiners (ACFE) routinely reports that numerous types of
extortion – proportional to around 5 percent of incomes – influence partnerships every year. This
is a stunning sum and regardless of whether this number is marginally exaggerated, the potential
for extortion to happen in associations isn\'t – and it\'s something that each pioneer in money
related control and hazard administration ought to consider important.
Fraud by representatives, and by outsiders who may connive with workers, can happen in most
budgetary and business frameworks including acquiring, installments, charging, finance, stock
and sending, P-cards, and travel and excitement costs. Obviously, the danger of
misrepresentation ought to be considered when outlining controls all through money related and
business forms – be that as it may, there are a few motivations to look past the customary ways
to deal with averting and recognizing extortion.
Fraud and hazard make stunning misfortunes in the budgetary administrations industry as crooks
imagine new tricks to take subsidizes and launder filthy cash into the economy. This profoundly
affects every one of us including banks, financier, protection and human services suppliers.
Advancements in expository innovation can recognize misrepresentation, identify dangers and
alleviate hazard for your monetary association. Rotator Visual System Examination consolidates
nimble information incorporation with dynamic relationship mapping and intuitive visual
investigation enabling investigators to profile information and distinguish examples of conduct
demonstrative of criminal movement.
Financial Risk
Rotator empowers exact ID of monetary hazard because of extortion and illegal tax avoidance.
Show cases under scrutiny utilizing rich representations. Distinguish shrouded connections
utilizing propelled hazard investigation, and find value-based ways that point to co-schemers
Know Your Client
Guarantee consistence with \"Know Your Client\" strategy necessities. Perform upgraded due
constancy on new and existing records\' budgetary execution. Make a corporate culture where
Visual System Examination bolsters the majority of your \"Know Your Client\" prerequisites.
Client Securing
Rotator conveys quantifiable and successful client obtaining and maintenance techniques.
Examine past monetary execution and client esteem prompting focused on procurement systems.
Measure the viability of your promoting efforts.
Joint effort
Offer vital money related information investigation comes about with key colleagues, offices and
administrators. Spare the aftereffects of your money related information.
Leveraging Analytics to Combat Digital Fraud in Financial OrganizationsRicardo Ponce
Digitization creates major opportunities for financial services – automating operations, expanding channels, delivering engaging customer experiences. There are corresponding
challenges – unprecedented data and transaction volumes, channel control in electronic marketplaces, and preventing fraud when the fraudsters are technologically adept. To discuss the opportunities, challenges, and solutions around financial fraud in the digital age, IIA spoke with David Stewart, Director, Security Intelligence Practice-Banking at SAS Institute Inc.
Fraud and corporate governance changing paradigm in India 2012EY
This report offers a perspective on the bribery landscape across Europe, the Middle East, India and Africa (EMEIA), including enforcement trends, risks for businesses to be aware of and mitigating steps companies may want to consider.
For further information on EY's fraud investigation and dispute services, please visit: http://www.ey.com/IN/en/Services/Assurance/Fraud-Investigation---Dispute-Services
Corporate Social Responsibility (CSR), Financial Crimes and Anti-Money Laund...MdMehedhihasan1
Corporate Social Responsibility (CSR),
Financial Crimes and Anti-Money Laundering (AML), How can we stop money laundering, International Banking and Cross-Border Transactions. Presentation
GRC and Anti-Money Laundering Services.pdfbasilmph
Anti-money laundering services have been a part of compliance activities and processes in financial institutions for a long time. With the complexity and sophistication of the global financial system, anti-money laundering regulations are becoming more important.
Preventing Tax Evasion & Benefits Fraud Through Predictive AnalyticsCapgemini
Today's tax and welfare agencies are increasingly facing new and sophisticated methods of tax evasion and welfare fraud. Increasing digitization means that fraudsters are becoming faster and new types of fraud, such as ID theft, are growing.
However, with more and better data available, agencies now have the ability to sharpen their insights at higher speeds.
Capgemini’s TROUVE solution, powered by SAS, helps Tax & Welfare agencies harness digital to achieve better, faster and cheaper compliance results.
Presented by Capgemini's Ian Pretty at SAS Analytics 2014.
Article the shifting face of cybercrime - paul wrightPaul Wright MSc
What is the foremost myth associated to cybercrime? One hundred per cent cyber security. Establishing a completely secure environment can be tough to achieve and should not, in an ideal world, be the objective. Instead, one must establish the capability and strategy to deal with incidents and minimise threat, loss and reputational damage.
How to Stop Synthetic Fraud - Bahaa Abdul Hadi.pdfBahaa Abdulhadi
The fastest growing type of financial crime may surprise you with its cunning methods because it is pricey and silent. Here is the skinny on how synthetic fraud can be stopped before it takes holding your CIAM utilising document-centric biometric identity proofing.
Enterprise Fraud Management: How Banks Need to AdaptCapgemini
Fraud prevention is becoming one of the biggest areas of concern for the financial services industry. But first generation Fraud Management systems are falling short. By moving towards more enterprise approach to fraud management, financial institutions can combat the increasingly treacherous fraud and cyber crime landscape while reaping numerous benefits for the organization.
Similar to Fighting financial crime with connected data (20)
After the amazing breakthroughs of machine learning (deep learning or otherwise) in the past decade, the shortcomings of machine learning are also becoming increasingly clear: unexplainable results, data hunger and limited generalisability are all becoming bottlenecks.
In this talk we will look at how the combination with symbolic AI (in the form of very large knowledge graphs) can give us a way forward, towards machine learning systems that can explain their results, that need less data, and that generalise better outside their training set.
--
Frank van Harmelen leads the Knowledge Representation & Reasoning group in the CS Department of the VU University Amsterdam. He is also Principal investigator of the Hybrid Intelligence Centre, a 20Μ€, 10 year collaboration between researchers at 6 Dutch universities into AI that collaborates with people instead of replacing them.
--
While mathematicians have used graph theory since the 18th century to solve problems, the software patterns for graph data are new to most developers. To enable "mass adoption" of graph technology, we need to establish the right abstractions, access APIs, and data models.
RDF triples, while of paramount importance in establishing RDF graph semantics, are a low-level abstraction, much like using assembly language. For practical and productive “graph programming” we need something different.
Similarly, existing declarative graph query languages (such as SPARQL and Cypher) are not always the best way to access graph data, and sometimes you need a simpler interface (e.g., GraphQL), or even a different approach altogether (e.g., imperative traversals such as with Gremlin).
Ora Lassila is a Principal Graph Technologist in the Amazon Neptune graph database group. He has a long experience with graphs, graph databases, ontologies, and knowledge representation. He was a co-author of the original RDF specification as well as a co-author of the seminal article on the Semantic Web.
Κnowledge Architecture: Combining Strategy, Data Science and Information Arch...Connected Data World
"The most important contribution management needs to make in the 21st Century is to increase the productivity of knowledge work and the knowledge worker", said Peter F. Drucker in 1999, and time has proven him right.
Even NASA is no exception, as it faces a number of challenges. NASA has hundreds of millions of documents, reports, project data, lessons learned, scientific research, medical analysis, geospatial data, IT logs, and all kinds of other data stored nation-wide.
The data is growing in terms of variety, velocity, volume, value and veracity. NASA needs to provide accessibility to engineering data sources, whose visibility is currently limited. To convert data to knowledge a convergence of Knowledge Management, Information Architecture and Data Science is necessary.
This is what David Meza, Acting Branch Chief - People Analytics, Sr. Data Scientist at NASA, calls "Knowledge Architecture": the people, processes, and technology of designing, implementing, and applying the intellectual infrastructure of organizations.
A talk by Aleksa Gordic | Software - Deep Learning engineer, Microsoft | The AI Epiphany
What can you learn about Graph Machine Learning in 2 months?
Aleksa Gordic, Machine Learning engineer @ Microsoft and Founder @ The AI Epiphany, shares his journey in the world of Graph Machine Learning. Aleksa started exploring the basics in the world of Graph Machine Learning, and ended up implementing and open sourcing his own Graph Attention Network on PyTorch.
In this talk, Aleksa will share the fundamentals of Graph Machine Learning, provide real-world examples, resources, and everything his younger self would be grateful for. Aleksa will also be available to answer questions.
What is Graph Machine Learning? Simply put, Graph Machine Learning is a branch of machine learning that deals with graph data.
Graphs consist of nodes, that may have feature vectors associated with them, and edges, which again may or may not have feature vectors attached. The applications are endless. Massive-scale recommender systems, particle physics, computational pharmacology / chemistry / biology, traffic prediction, fake news detection, and the list goes on and on.
In recent years graphs have been increasingly adopted in financial services for everything from fraud detection to Know Your Customer (KYC) to regulatory requirements. At the same time Environmental Social Governance (ESG) investing has become the fastest growing segment of financial services. In this session James discusses how many of these historical graph techniques are now being enhanced for the era of sustainable investing. Going beyond definitions, let's identify use cases, discuss news and trends, and wrap up with an ask me anything session.
What is graph all about, and why should you care? Graphs come in many shapes and forms, and can be used for different applications: Graph Analytics, Graph AI, Knowledge Graphs, and Graph Databases.
Talk by George Anadiotis. Connected Data London Meetup June 29th 2020.
Up until the beginning of the 2010s, the world was mostly running on spreadsheets and relational databases. To a large extent, it still does. But the NoSQL wave of databases has largely succeeded in instilling the “best tool for the job” mindset.
After relational, key-value, document, and columnar, the latest link in this evolutionary proliferation of data structures is graph. Graph analytics, Graph AI, Knowledge Graphs and Graph Databases have been making waves, included in hype cycles for the last couple of years.
The Year of the Graph marked the beginning of it all before the Gartners of the world got in the game. The Year of the Graph is a term coined to convey the fact that the time has come for this technology to flourish.
The eponymous article that set the tone was published in January 2018 on ZDNet by domain expert George Anadiotis. George has been working with, and keeping an eye on, all things Graph since the early 2000s. He was one of the first to note the continuing rise of Graph Databases, and to bring this technology in front of a mainstream audience.
The Year of the Graph has been going strong since 2018. In August 2018, Gartner started including Graph in its hype cycles. Ever since, Graph has been riding the upward slope of the Hype Cycle.
The need for knowledge on these technologies is constantly growing. To respond to that need, the Year of the Graph newsletter was released in April 2018. In addition, a constant flow of graph-related news and resources is being shared on social media.
To help people make educated choices, the Year of the Graph Database Report was released. The report has been hailed as the most comprehensive of its kind in the market, consistently helping people choose the most appropriate solution for their use case since 2018.
The report, articles, news stream, and the newsletter have been reaching thousands of people, helping them understand and navigate this landscape. We’ll talk about the Year of the Graph, the different shapes, forms, and applications for graphs, the latest news and trends, and wrap up with an ask me anything session.
From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2Connected Data World
Do you have experience in data modeling, or using taxonomies to classify things, and want to upgrade to modeling knowledge graphs? This hands-on workshop with one of the leading knowledge graph practitioners will help you get started.
Parts 1 & 2
Do you have experience in data modeling, or using taxonomies to classify things, and want to upgrade to modeling knowledge graphs? This hands-on workshop with one of the leading knowledge graph practitioners will help you get started.
Part 3
For as long as people have been thinking about thinking, we have imagined that somewhere in the inner reaches of our minds there are ghostly, intangible things called ideas which can be linked together to create representations of the world around us — a world that has a certain structure, conforms to certain rules, and to a certain extent, can be predicted and manipulated on the basis of our ideas.
Rationalist philosophers have struggled for centuries to make a solid case for this intuitive, almost inborn view of human experience, but it is only with the advent of modern computing that we have the opportunity to build machines which truly think the way we think we think.
For the first time, we can give concrete form to our mental representations as graphs or hypergraphs, explicitly specify our mental schemas as ontologies, and formally define the rules by which we reason and act on new information. If we so choose, we can even use these human-like building blocks to construct systems that carry far more information than any single human brain, and that connect and serve millions of people in real time.
As enterprise knowledge graphs become increasingly mainstream, we appear to be headed in that direction, although there is no guarantee that the momentum will continue unless actively sustained. Where knowledge graphs are likely to be the most essential, in the long run, is at the interface between human and machine; mental representation versus formal knowledge representation.
In this talk, we will take a step back from the many practical and social challenges of building large-scale knowledge graphs, which at this point are well-known. Instead, we will take up the quest for an ideal data model for knowledge representation and data integration, seeking common ground among the most popular data models used in industry and open source software, surveying what we suspect to be true of our own inner models, and previewing structure and process in Apache TinkerPop, version 4. We will also take a tentative step forward into the world of augmented perception via graph stream processing.
Graph in Apache Cassandra. The World’s Most Scalable Graph DatabaseConnected Data World
Graph databases are everywhere right now. The explosive growth in the graph market coupled with the hype of solving graph problems is causing both excitement and confusion. From labeled property graphs to RDF to pure graph analytics to multi-model databases, the breadth of graph offerings is staggering.
The good news? DataStax has been listening—and building.
In this session, we’ll show you how DataStax Graph is architected into Apache Cassandra to deliver the world’s most scalable graph database. You’ll learn how to integrate Cassandra data into mixed workloads, design scalable property graphs, and even turn your existing tables into graphs.
With your high throughput time series data distributed next to its relationships, what will you build next?
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...Connected Data World
As one of the largest financial institutions worldwide, JP Morgan is reliant on data to drive its day-to-day operations, against an ever evolving regulatory regime. Our global data landscape possesses particular challenges of effectively maintaining data governance and metadata management.
The Data strategy at JP Morgan intends to:
a) generate business value
b) adhere to regulatory & compliance requirements
c) reduce barriers to access
d) democratize access to data
In this talk, we show how JP Morgan leverages semantic technologies to drive the implementation of our data strategy. We demonstrate how we exploit knowledge graph capabilities to answer:
1) What Data do I need?
2) What Data do we have?
3) Where does my Data come from?
4) Where should my Data come from?
5) What Data should be shared most?
Graph applications were once considered “exotic” and expensive. Until recently, few software engineers had much experience putting graphs to work. However, the use cases are now becoming more commonplace.
This talk explores a practical use case, one which addresses key issues of data governance and reproducible research, and depends on sophisticated use of graph technology.
Consider: some academic disciplines such as astronomy enjoy a wealth of data — mostly open data. Popular machine learning algorithms, open source Python libraries, and distributed systems all owe much to those disciplines and their history of big data.
Other disciplines require strong guarantees for privacy and security. Datasets used in social science research involve confidential details about human subjects: medical histories, wages, home addresses for family members, police records, etc.
Those cannot be shared openly, which impedes researchers from learning about related work by others. Reproducibility of research and the pace of science in general are limited. Nonetheless, social science research is vital for civil governance, especially for evidence-based policymaking (US federal law since 2018).
Even when data may be too sensitive to share openly, often the metadata can be shared. Constructing knowledge graphs of metadata about datasets — along with metadata about authors, their published research, methods used, data providers, data stewards, and so on — that provides effective means to tackle hard problems in data governance.
Knowledge graph work supports use cases such as entity linking, discovery and recommendations, axioms to infer about compliance, etc. This talk reviews the Rich Context AI competition and the related ADRF framework used now by more than 15 federal agencies in the US.
We’ll explore knowledge graph use cases, use of open standards and open source, and how this enhances reproducible research. Social science research for the public sector has much in common with data use in industry.
Issues of privacy, security, and compliance overlap, pointing toward what will be required of banks, media channels, etc., and what technologies apply. We’ll look at comparable work emerging in other parts of industry: open source projects, open standards emerging, and in particular a new set of features in Project Jupyter that support knowledge graphs about data governance.
Powering Question-Driven Problem Solving to Improve the Chances of Finding Ne...Connected Data World
Making true “molecule”-“mechanism”-“observation” relationship connections is a time consuming, iterative and laborious process. In addition, it is very easy to miss critical information that affects key decisions or helps make plausible scientific connections.
The current practice for deciphering such relationships frequently involves subject matter experts (SMEs) requesting resource from resource-constrained data science departments to refine and redo highly similar ad hoc searches. The result of this is impairment of both the pace and quality of scientific reviews.
In this presentation, I show how semantic integration can be made to ultimately become part of an integrated learning framework for more informed scientific decision making. I will take the audience through our pilot journey and highlight practical learnings that should inform subsequent endeavours.
Semantic similarity for faster Knowledge Graph delivery at scaleConnected Data World
Knowledge graphs promise a novel platform for better holistic decision making and analytics. Many projects fail to reach their full potential because of the prohibitively high cost of integrating new knowledge from the required information sources.
The talk explains the concept of semantic similarity as a tool for efficient entity clustering and matching based on graph and text embeddings. It will demonstrate the underlying scalable and easy to understand algorithm of Random Indexing.
This work is part of the Ontotext Platform, which increases productivity in developing and maintaining large scale knowledge graphs. The platform enables enterprises to develop and operate on top of such mission-critical systems for decision support, information discovery and metadata management.
Knowledge Graphs and AI to Hyper-Personalise the Fashion Retail Experience at...Connected Data World
What is the key to the holistic success of the fastest growing and most successful companies of our time globally? Well, often the key is the rapid increase in collected and analysed data. Graph databases provide a way to organise semantically by classes, not tables, are web-aware, and are superior for handling deep, complex relationships than traditional relational or NoSQL data stores.
It is these deep, complex relationships that can provide the rich context for hyper-personalising your product offering, inspiring consumers to purchase. In this talk, we describe how we are using artificial intelligence at Farfetch to not only help build a knowledge graph but also to evolve our insights with state-of-the-art graph-based AI.
A world of structured data promises us an incredible future. But most websites struggle to even implement basic schema.org markup. Fewer still represent and connect their pages and content in sophisticated, structured graphs. We can’t reach that incredible future without increasing and improving adoption.
To move forward, we need to make constructing rich structured data as easy as writing a recipe. This isn’t a pipe dream: at Yoast, we think we’ve solved schema for everybody, everywhere. We’d love to share our story.
The relationships between data sets matter. Discovering, analyzing, and learning those relationships is a central part to expanding our understand, and is a critical step to being able to predict and act upon the data. Unfortunately, these are not always simple or quick tasks.
To help the analyst we introduce RAPIDS, a collection of open-source libraries, incubated by NVIDIA and focused on accelerating the complete end-to-end data science ecosystem. Graph analytics is a critical piece of the data science ecosystem for processing linked data, and RAPIDS is pleased to offer cuGraph as our accelerated graph library.
Simply accelerating algorithms only addressed a portion of the problem. To address the full problem space, RAPIDS cuGraph strives to be feature-rich, easy to use, and intuitive. Rather than limiting the solution to a single graph technology, cuGraph supports Property Graphs, Knowledge Graphs, Hyper-Graphs, Bipartite graphs, and the basic directed and undirected graph.
A Python API allows the data to be manipulated as a DataFrame, similar and compatible with Pandas, with inputs and outputs being shared across the full RAPIDS suite, for example with the RAPIDS machine learning package, cuML.
This talk will present an overview of RAPIDS and cuGraph. Discuss and show examples of how to manipulate and analyze bipartite and property graph, plus show how data can be shared with machine learning algorithms. The talk will include some performance and scalability metrics. Then conclude with a preview of upcoming features, like graph query language support, and the general RAPIDS roadmap.
Elegant and Scalable Code Querying with Code Property GraphsConnected Data World
Programming is an unforgiving art form in which even minor flaws can cause rockets to explode, data to be stolen, and systems to be compromised. Today, a system tasked to automatically identify these flaws not only faces the intrinsic difficulties and theoretical limits of the task itself, it must also account for the many different forms in which programs can be formulated and account for the awe-inspiring speed at which developers push new code into CI/CD pipelines. So much code, so little time.
The code property graph – a multi-layered graph representation of code that captures properties of code across different abstractions – (application code, libraries and frameworks) – has been developed over the last six years to provide a foundation for the challenging problem of identifying flaws in program code at scale, whether it is high-level dynamically-typed Javascript, statically-typed Scala in its bytecode form, the syntax trees generated by Roslyn C# compiler, or the bitcode that flows through LLVM.
Based on this graph, we define a common query language based on formal code property graph specification to elegantly analyze code regardless of the source language. Paired with the formulation of a state-of-the-art data flow tracker based on code property graphs, we arrive at a distributed cloud native powerful code analysis. This talk provides an introduction to the technology.
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...Connected Data World
Do you want to learn how to use the low-hanging fruit of knowledge graphs — schema.org and JSON-LD — to annotate content and improve your SEO with semantics and entities? This hands-on workshop with one of the leading Semantic SEO practitioners will help you get started.
May graph technology improve the deployment of humanitarian projects? The goal of using what we call “Graphs for good at Action Against Hunger” is to be more efficient and transparent, and this can have a crucial impact on people’s lives.
Is there common behaviour factors between different projects? Can elements of different resources or projects be related? For example, security incidents in a city could influence the way other projects run in there.
The explained use case data comes from a project called Kit For Autonomous Cash Transfer in Humanitarian Emergencies (KACHE) whose goal is to deploy electronic cash transfers in emergency situations when no suitable infrastructure is available.
It also offers the opportunity to track transactions in order to better recognize crisis-affected population behaviours, understanding goods distribution network to improve recommendations, identifying the role of culture in transactional patterns, as well as most required items for every place.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
5. Things that may surprise you about Financial Crime
Its widespread
It’s increasing
Its invisible
Economically costly
Financial criminals are transnational,
rational, organised and highly data &
IT literate
Its industrial in terms of economies of
scale
6. How have Financial Services firms
typically reacted to Financial Crime?
Several large fines > large
compliance budgets:
HSBC $1.9bn
Standard Chartered $1bn
BNP Paribas $8.8bn
Typical responses:
Hired more compliance
people
Initiated large regulatory
change initiatives
Data & Technology
investments
8. 2016 – a bumper year for financial
crime so far
Market
manipulation
Fraud & collusion
Sanctions evasion, money
laundering & tax evasion
Theft
Insurance Fraud
Trade Finance
Minimal ‘Connected
Dataness’
Highly
connected
9. Key drivers of solution choice
Requirements - The ‘connectedness’
characteristics of your data
Constraints
3 CD Financial Crime examples >
different implementation
technology choices
10. Case study 1:
Fraud rings Semantically
unambiguous
domain & mainly
structured sources
Timeliness &
performance
requirements
Control over
sources &
specific
questions to ask
11.
12. Case study 2:
Panama
Papers
Evolving schema
as
understanding
evolves
Simplicity & time
to market key
drivers
No control over
sources &
standards used >
reverse
engineering
13. More entities, more attributes, more
relationship types
Extract, Transform,
Load
14. Two interesting Panama portals
here today
RDF, SPARQL, linked to Geonames &
DBPedia Country resources
Property-graph, Cypher, soft link to
Open Corporates
http://data.ontotext.com/ https://offshoreleaks.icij.org
15. Case study 3:
Trade Finance
& paper based
products
Research & self
service more
important (red flag
investigation)
Timeliness less
important than
interoperability &
standards
Control over
sources > forward
engineering &
opportunities for
standards &
schemas
16. Financial Criminals are rational agents
Credit card
fraud
Trade
Finance
crimes
Examples of TF crimes:
- Dealing with sanctioned
countries– e.g. Russia
- Dealing with sanctioned
companies, ships or
shipping agents
- Dealing with sanctioned
individuals e.g. terrorists
- Money Laundering
- Dealing in Dual Use
goods (nuclear, military,
chemical)