AI Golden Record Pipeline
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In the ever-evolving landscape of data management, companies across the globe are continually grappling with the complexities of data privacy and regulatory compliance. The European Union (EU) has been at the forefront of this endeavor, introducing stringent regulations such as the General Data Protection Regulation (GDPR) and the more recent Data Governance Act. Companies operating in the EU or handling the data of EU citizens are under immense pressure to safeguard data while ensuring compliance with these regulations. Knowledge graph databases have emerged as a transformative solution that not only streamlines data management but also helps companies confidently navigate EU data regulations. In this article, we will explore the advantages of knowledge graph databases for companies confronted with EU regulations on data management.
Before delving into the advantages, it is crucial to grasp the concept of knowledge graph databases. Knowledge graph databases are a specialized type of database that leverages graph theory to represent and store data in a way that captures the relationships and connections between different pieces of information. Unlike traditional relational databases that store data in tables, knowledge graph databases use nodes and edges to create a web of interconnected data points. Each node represents an entity (such as a person, place, or concept), while edges represent relationships between these entities.
The flexibility and scalability of knowledge graph databases make them particularly well-suited for managing complex data structures and navigating intricate regulatory frameworks, like those imposed by the EU.
One of the primary challenges posed by EU data regulations is the need for transparency and traceability in data management practices. Companies are required to demonstrate how they collect, process, and share data. Knowledge graph databases excel in this area by providing a clear and visual representation of data flows and relationships.
With a knowledge graph database, companies can easily trace the journey of data from its source to its destination. This transparency not only ensures compliance but also helps identify potential bottlenecks or vulnerabilities in the data handling process. For example, companies can track how personal data is collected, who has access to it, and how it is used, all of which are crucial aspects of GDPR compliance.
EU regulations emphasize the importance of data protection and access control. Knowledge graph databases enable companies to implement fine-grained access control mechanisms. They can define who can access specific nodes or relationships within the knowledge graph, ensuring that only authorized personnel can view or modify sensitive data.
This level of granular access control not only safeguards data but also facilitates compliance audits. Companies can provide auditors with a detailed view of who accessed the data and for what purpose, simplifying the process of demonstrating compliance with EU regulations.
Consent management is a cornerstone of GDPR and other EU data regulations. Companies must obtain explicit consent from individuals before collecting or processing their personal data. Knowledge graph databases can help streamline consent management by associating consent records with individual entities within the graph.
This means that companies can easily determine which individuals have provided consent for data processing and for what specific purposes. When individuals exercise their right to withdraw consent, the database can automatically update the associated records, ensuring that data processing activities remain in compliance with EU regulations.
EU data regulations also grant individuals certain rights over their personal data, including the right to access, rectify, or erase their data. Knowledge graph databases simplify the process of fulfilling these data subject rights by enabling cross-referencing of data.
For example, if an individual requests access to their personal data, the database can quickly locate all relevant nodes and relationships associated with that individual. This capability ensures that companies can respond promptly and accurately to data subject requests, reducing the risk of non-compliance and associated fines.
As data continues to grow in volume and complexity, companies must ensure that their data management solutions are scalable and adaptable. Knowledge graph databases are inherently scalable and flexible, making them well-suited for evolving regulatory landscapes.
Companies can expand their knowledge graphs to accommodate new data sources, relationships, and compliance requirements without undergoing major overhauls of their data infrastructure. This adaptability is invaluable in the face of evolving EU data regulations, as companies can stay compliant with minimal disruption to their operations. Fluree’s distributed ledger technology allows for new opportunities in edge scalability. Learn more in this webinar, “Scaling Data to the Edge.”
In the era of stringent EU data regulations, knowledge graph databases offer a lifeline to companies seeking to manage their data efficiently while ensuring compliance. Their transparency, fine-grained access control, consent management capabilities, and scalability make them an ideal choice for navigating the complexities of data management in a regulated environment.
By embracing knowledge graph databases, companies can not only meet their legal obligations but also gain a competitive edge by harnessing the power of connected data. As EU data regulations continue to evolve, knowledge graph databases will remain a valuable asset for companies, helping them navigate the regulatory landscape with confidence and agility. To learn more about Fluree’s knowledge graph database solution, Fluree Core, click here.
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Partner, Analytic Strategy Partners; Frederick H. Rawson Professor in Medicine and Computer Science, University of Chicago and Chief of the Section of Biomedical Data Science in the Department of Medicine
Robert Grossman has been working in the field of data science, machine learning, big data, and distributed computing for over 25 years. He is a faculty member at the University of Chicago, where he is the Jim and Karen Frank Director of the Center for Translational Data Science. He is the Principal Investigator for the Genomic Data Commons, one of the largest collections of harmonized cancer genomics data in the world.
He founded Analytic Strategy Partners in 2016, which helps companies develop analytic strategies, improve their analytic operations, and evaluate potential analytic acquisitions and opportunities. From 2002-2015, he was the Founder and Managing Partner of Open Data Group (now ModelOp), which was one of the pioneers scaling predictive analytics to large datasets and helping companies develop and deploy innovative analytic solutions. From 1996 to 2001, he was the Founder and CEO of Magnify, which is now part of Lexis-Nexis (RELX Group) and provides predictive analytics solutions to the insurance industry.
Robert is also the Chair of the Open Commons Consortium (OCC), which is a not-for-profit that manages and operates cloud computing infrastructure to support scientific, medical, health care and environmental research.
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Founder, DataStraits Inc., Chief Revenue Officer, 3i Infotech Ltd
Sudeep Nadkarni has decades of experience in scaling managed services and hi-tech product firms. He has driven several new ventures and corporate turnarounds resulting in one IPO and three $1B+ exits. VC/PE firms have entrusted Sudeep with key executive roles that include entering new opportunity areas, leading global sales, scaling operations & post-merger integrations.
Sudeep has broad international experience having worked, lived, and led firms operating in US, UK, Middle East, Asia & Africa. He is passionate about bringing innovative business products to market that leverage web 3.0 technologies and have embedded governance risk and compliance.
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CEO, Data4Real LLC
Julia Bardmesser is a technology, architecture and data strategy executive, board member and advisor. In addition to her role as CEO of Data4Real LLC, she currently serves as Chair of Technology Advisory Council, Women Leaders In Data & AI (WLDA). She is a recognized thought leader in data driven digital transformation with over 30 years of experience in building technology and business capabilities that enable business growth, innovation, and agility. Julia has led transformational initiatives in many financial services companies such as Voya Financial, Deutsche Bank Citi, FINRA, Freddie Mac, and others.
Julia is a much sought-after speaker and mentor in the industry, and she has received recognition across the industry for her significant contributions. She has been named to engatica 2023 list of World’s Top 200 Business and Technology Innovators; received 2022 WLDA Changemaker in AI award; has been named to CDO Magazine’s List of Global Data Power Wdomen three years in the row (2020-2022); named Top 150 Business Transformation Leader by Constellation Research in 2019; and recognized as the Best Data Management Practitioner by A-Team Data Management Insight in 2017.
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Senior Advisor, Board Member, Strategic Investor
After nine years leading the rescue and turnaround of Banco del Progreso in the Dominican Republic culminating with its acquisition by Scotiabank (for a 2.7x book value multiple), Mark focuses on advisory relationships and Boards of Directors where he brings the breadth of his prior consulting and banking/payments experience.
In 2018, Mark founded Alberdi Advisory Corporation where he is engaged in advisory services for the biotechnology, technology, distribution, and financial services industries. Mark enjoys working with founders of successful businesses as well as start-ups and VC; he serves on several Boards of Directors and Advisory Boards including MPX – Marco Polo Exchange – providing world-class systems and support to interconnect Broker-Dealers and Family Offices around the world and Fluree – focusing on web3 and blockchain. He is actively engaged in strategic advisory with the founder and Executive Committee of the Biotechnology Institute of Spain with over 50 patents and sales of its world-class regenerative therapies in more than 30 countries.
Prior work experience includes leadership positions with MasterCard, IBM/PwC, Kearney, BBVA and Citibank. Mark has worked in over 30 countries – extensively across Europe and the Americas as well as occasional experiences in Asia.
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Chair of the Board, Enterprise Data Management Council
Peter Serenita was one of the first Chief Data Officers (CDOs) in financial services. He was a 28-year veteran of JPMorgan having held several key positions in business and information technology including the role of Chief Data Officer of the Worldwide Securities division. Subsequently, Peter became HSBC’s first Group Chief Data Officer, focusing on establishing a global data organization and capability to improve data consistency across the firm. More recently, Peter was the Enterprise Chief Data Officer for Scotiabank focused on defining and implementing a data management capability to improve data quality.
Peter is currently the Chairman of the Enterprise Data Management Council, a trade organization advancing data management globally across industries. Peter was a member of the inaugural Financial Research Advisory Committee (under the U.S. Department of Treasury) tasked with improving data quality in regulatory submissions to identify systemic risk.
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Turn Data Chaos into Data Clarity
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Pawan came to Fluree via its acquisition of ZettaLabs, an AI based data cleansing and mastering company.His previous experiences include IBM where he was part of the Strategy, Business Development and Operations team at IBM Watson Health’s Provider business. Prior to that Pawan spent 10 years with Thomson Reuters in the UK, US, and the Middle East. During his tenure he held executive positions in Finance, Sales and Corporate Development and Strategy. He is an alumnus of The Georgia Institute of Technology and Georgia State University.
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Andrew “Flip” Filipowski is one of the world’s most successful high-tech entrepreneurs, philanthropists and industry visionaries. Mr. Filipowski serves as Co-founder and Co-CEO of Fluree, where he seeks to bring trust, security, and versatility to data.
Mr. Filipowski also serves as co-founder, chairman and chief executive officer of SilkRoad Equity, a global private investment firm, as well as the co-founder, of Tally Capital.
Mr. Filipowski was the former COO of Cullinet, the largest software company of the 1980’s. Mr. Filipowski founded and served as Chairman and CEO of PLATINUM technology, where he grew PLATINUM into the 8th largest software company in the world at the time of its sale to Computer Associates for $4 billion – the largest such transaction for a software company at the time. Upside Magazine named Mr. Filipowski one of the Top 100 Most Influential People in Information Technology. A recipient of Entrepreneur of the Year Awards from both Ernst & Young and Merrill Lynch, Mr. Filipowski has also been awarded the Young President’s Organization Legacy Award and the Anti-Defamation League’s Torch of Liberty award for his work fighting hate on the Internet.
Mr. Filipowski is or has been a founder, director or executive of various companies, including: Fuel 50, Veriblock, MissionMode, Onramp Branding, House of Blues, Blue Rhino Littermaid and dozens of other recognized enterprises.
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Brian is the Co-founder and Co-CEO of Fluree, PBC, a North Carolina-based Public Benefit Corporation.
Platz was an entrepreneur and executive throughout the early internet days and SaaS boom, having founded the popular A-list apart web development community, along with a host of successful SaaS companies. He is now helping companies navigate the complexity of the enterprise data transformation movement.
Previous to establishing Fluree, Brian co-founded SilkRoad Technology which grew to over 2,000 customers and 500 employees in 12 global offices. Brian sits on the board of Fuel50 and Odigia, and is an advisor to Fabric Inc.
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Eliud Polanco is a seasoned data executive with extensive experience in leading global enterprise data transformation and management initiatives. Previous to his current role as President of Fluree, a data collaboration and transformation company, Eliud was formerly the Head of Analytics at Scotiabank, Global Head of Analytics and Big Data at HSBC, head of Anti-Financial Crime Technology Architecture for U.S.DeutscheBank, and Head of Data Innovation at Citi.
In his most recent role as Head of Analytics and Data Standards at Scotiabank, Eliud led a full-spectrum data transformation initiative to implement new tools and technology architecture strategies, both on-premises as well as on Cloud, for ingesting, analyzing, cleansing, and creating consumption ready data assets.
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Get the right data into the right hands.
Build your Verifiable Credentials/DID solution with Fluree.
Wherever you are in your Knowledge Graph journey, Fluree has the tools and technology to unify data based on universal meaning, answer complex questions that span your business, and democratize insights across your organization.
Build real-time data collaboration that spans internal and external organizational boundaries, with protections and controls to meet evolving data policy and privacy regulations.
Fluree Sense auto-discovers data fitting across applications and data lakes, cleans and formats them into JSON-LD, and loads them into Fluree’s trusted data platform for sharing, analytics, and re-use.
Transform legacy data into linked, semantic knowledge graphs. Fluree Sense automates the data mappings from local formats to a universal ontology and transforms the flat files into RDF.
Whether you are consolidating data silos, migrating your data to a new platform, or building an MDM platform, we can help you build clean, accurate, and reliable golden records.
Our enterprise users receive exclusive support and even more features. Book a call with our sales team to get started.
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