Solve Complex Financial Crimes by Leveraging Next-Gen Knowledge Graphs
With the advent of complex financial instruments, fraudsters have found ways to cheat the system by exploiting loopholes and using current technology limitations, to their advantage, which makes it difficult to detect complex web of illegal transactions, corruptions, and connections. The current process of Financial Crime investigation is very manual and time consuming. These complex, undetectable financial crimes need next generation technologies which can perform deep link analysis to identify hidden patterns to detect and prevent crime. There’s also a need to look at crimes holistically across financial crimes domains like AML, KYC, Market Surveillance, etc.
Financial Crime and Compliance Knowledge Graph provides link analysis, algorithms to identify deep hidden linkages, and patterns that fraudsters are using to commit crime. In summary, a Financial Crime and Compliance knowledge graph helps to investigate complex crime and drastically reduces time and cost of investigations.
Our panel of industry experts will discuss:
Why knowledge graphs are different from other traditional technology options?
What are their benefits?
What are the pre-requisites of establishing a Knowledge Graph?
What are the Organizational changes/challenges that you should keep in mind to successfully implement a Graph Investigation platform?
Data Strategies for Accelerating Growth in Financial Services
Join this “Fireside Chat” with Peter Ku, Chief Financial Services Industry Strategist at Informatica, and John Bottega, President of EDM Council, along with their guests Julia Bardmesser, Head of Digital Transformation at Voya Financial, and Israel Abraham, Head of Data Management and Engineering at Mass Mutual, as they share their thoughts and views on data strategies and investments to drive growth, including:
The pandemic’s effect on technology and data related investments
The top data risks impacting industry digital transformation
The impact of cloud modernization on the management and governance of data
The post-pandemic world of the CIO, CDO and CTO across financial services
Key insights for a successful data management and data governance program
Data Governance in Theory vs. Data Governance in Practice
This talk will focus on turning an academic Data Governance framework into a functional, expanding, and maturing Data Governance program. What are the tactical steps an organization can take to turn theory into practice?
When you attend this webinar, you will learn about:
The current state of Data Governance
The tactical “first steps” for Data Governance implementation
Who should participate in start-up Data Governance
How much governance is enough
The role of technology
The best practices which will lead to a successful implementation
What’s the big deal about data observability?
For years, enterprises have run mission-critical data systems with outdated tools that weren’t designed to manage the current exploding supply of data. The problem is only getting worse as massive data volumes, data pipeline complexity, new technologies and hybrid environments conspire to challenge the business value of data systems. This affects everyone in an organization – data teams struggle with operational issues and often fail to meet the increasing demand for real-time data insights, data consumers don’t trust the data they need to make key business decisions, and executives can’t ensure data delivery and pipeline performance meet business requirements.
This session will focus on how, when and where enterprises can apply data observability to:
Successfully architect, operate, and optimize complex data systems at scale
Gain full visibility into data processing, data, and data pipelines
Use ML to automate data identification, quality and management
Manage costs during digital transformation to cloud services
Improve data reliability while reducing operational risk and cost management
A Hive Mind: New NLP techniques to cross-pollinate your cloud and bloom new insights
You’ve meticulously stocked your cloud with data silos rich in internal and external customer information. But to truly bear fruit, the walls of these gardens should be broken down and their contextual signals carried from one to another, with a consistent topic hierarchy.
To take the sting out of these technology and data decisions, this webinar will guide organizations on how to:
Identify opportunities where cross-pollinating data can create exponential value for analytics, BI, ML modeling, search, and more
Evaluate and select a knowledge framework that can produce deep, consistent connections across all data types
Comb through under-utilized data sets and extract new value with innovative Natural Language Processing techniques
Data Security vs. Privacy in a Hybrid Cloud
Data leaders are performing a challenging balancing act. On one hand, data volume is growing at an exponential rate, increasing the need for privacy, security, compliance and risk measures. On the other hand, there is an imperative to accelerate data-driven innovation agendas and share data with external partners to extract new value.
Can privacy and data sharing coexist? It seems necessary to trade off one for the other; prioritize either privacy or data sharing. Data Republic’s approach gives you the power to achieve both.
Join this webinar to explore how secure data innovation and collaboration technology can help you realize the true potential of data assets.
The webinar will explore:
Foundations of the emerging data economy
The perceived data privacy vs innovation tradeoff
Building a scalable and secure data innovation and collaboration capability
Scaling projects with secure technology from Data Republic
Data management considerations for external collaboration
How to get started with on the journey
How to harness CDMC to navigate a clear pathway to the cloud
The emergence of cloud computing has afforded firms new sources of competitive advantage, and business models have evolved in response. Whilst cloud adoption across Financial Services has been broadly positive, lack of a comprehensive roadmap for cloud adoption / cloud capabilities assessment has led to divergence amongst industry participants in both the pace and manner of adoption.
CDMC (Cloud Data Management Capabilities) is a comprehensive framework of capabilities, requirements, controls and guidance for cloud data management which will guide participants in their journey to the cloud. The CDMC workgroup is managed by the EDM Council and co-chaired by Morgan Stanley and Refinitiv, with participation from the world’s top Cloud Service Providers (CSPs), technology firms and over 20 leading financial industry firms.
Join Capco and other industry thought leaders to gain an understanding of:
The CDMC Framework
Building out solutions with CDMC
Tooling with CDMC and finally
How to elevate your relationship with regulatory bodies and the broader Financial Services industry.
Realizing the value of cloud modernization in financial services
The financial services industry is in the middle of a major market shift fueled by rising demand for more digital capabilities by both customers and employees, ongoing concerns over cyber and ransom-ware attacks, and increasing competition from FinTech’s for mind and market share. Success and survival require becoming more agile, intelligent, and efficient by modernizing legacy technology investments with modern cloud solutions from core banking platforms hosted in the cloud to Self-Service AI-enabled Analytics. Unfortunately, these cloud investments are often at risk of not performing and/or returning positive business value due to inadequate data management and data governance capabilities.
Join Microsoft, Informatica, and the EDM Council as we discuss:
Latest Cloud Solutions in financial services – What are companies investing in and why?
What are the top data management and governance challenges when investing in cloud and how is the industry responding?
Expert panel & audience Q&A
Building a Path to Data Intelligence
In this webinar, we’ll discuss how organizations can build a path towards data intelligence with a central platform built to:
Integrate data privacy and security across a single codebase to enable the re-use of data and existing compliance initiatives for core governance capabilities
Leverage AI/ML driven discovery and classification to create an accurate picture of your data fabric with regulatory context
Embed policies into your data inventory to control data access, retention, and use based on up-to-date regulatory research
What Does It Mean to Be Data-Empowered?
More than 90% of all businesses are engaged in some form of digital initiative, according to Gartner, including cloud migration, application development and modernization, and data governance for GDPR and compliance with other regulations. Of course, data is at the heart of any digital transformation effort. But it’s also at the root of complications that often prevent success. Join us to learn more about a new approach to improve the success rate of digital transformation projects and maximize the impact of their outcomes.
When you attend this webinar, you will learn about:
Using data intelligence to understand your data landscape
The importance of aligning data operations, data protection and data governance
Empowering all stakeholders to bring the right data to every decision
Announcing the new EDM Association
EDM Council has signed a definitive agreement to acquire the Object Management Group. Bringing together data, software, systems, knowledge engineering and standards capability, and reflecting our global growth, EDM Council is changing its name to EDM Association.
