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AI/ML Data Cleansing
Golden Record Pipeline
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New York, NY, 1007
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Karnataka 560093, India
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Lange Dreef 11
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In 1999, the inventor of the World Wide Web Sir Tim Berners Lee expressed a vision for an intelligent, connected, and data-driven Internet:
“I have a dream for the Web in which computers become capable of analyzing all the data on the Web — the content, links, and transactions between people and computers.”Tim Berners Lee
“I have a dream for the Web in which computers become capable of analyzing all the data on the Web — the content, links, and transactions between people and computers.”
Sir Tim Berners Lee’s vision became popular among emerging technologists who understood the value of universal data — interconnected, versatile, and directly available as a globally decentralized asset.
Web3 aligns with a data-first approach to building the future.
The Web3 vision never fully manifested itself as internet giants took control over and centralized the gold rush of data in the 2000s. It did, however, spark a fervorous following in standardization (RDF, SPARQL, OWL) with the goal of making all data on the web ‘machine-readable.’
This led to linked enterprise data initiatives with knowledge graph technology and connected data research around in healthcare, industry, and information science areas. Standardization also generally impacts the internet as meta-data-related activities on the web are in RDF (serialized in XML) for describing data to machines such as search engines.
But the true semantic web — a universally decentralized platform in which all data were to be shared and reused across application, enterprise, and community boundaries — hasn’t taken complete form. And with emerging applications in machine learning and artificial intelligence, a semantic web of information readable by machines is the obvious next step.
Answer: Trust, at scale
The Semantic vision in many ways mirrors the rhetoric of today’s conversation around decentralization (most commonly as a defining mechanism and philosophy in crypto economics). It lays out a powerful vision for cross-boundary collaboration, third-party transactional environments with no middlemen, and a ‘democratization’ of power. A true open-world concept.
However, in order to truly facilitate secure data collaboration across entities, the fundamental issue of trust became a massive hurdle. How are we expected to openly expose information to the world if it could easily be manipulated?
In the Tim Berner Lee “Layercake” image above, the large box dedicated to “crypto” wasn’t being truly filled in order to accomplish the “proof” and “trust” components that would bring the semantic dream to fruition.
Juxtaposed against massive companies centralizing data and beginning to use it as their own means of revenue generation, the semantic web stayed largely a vision with a very dedicated niche following.
In early 2009, Bitcoin introduced us to a very powerful concept: In Code We Trust. Via the combination of ordered cryptography and computational decentralization, Bitcoin showed the world that we could in fact inject trust into exposed information in an open transactional environment.Immutability and tamper-resistance, provided by advanced cryptography, became the centerpiece of discussion around blockchain’s applications in various industries. And in many ways, it had the power to solve the trust gap that the web3 needed to close in order to move to mass adoption. A technology for securing, storing, and proving the provenance and integrity of information, combined with data standardization and semantic queries would mark an incredible step towards a more intelligent web framework.
| Additional reading: Why Blockchain Immutability Matters
Still, in the early days of blockchain technology, the application focus tended to land heavily on recording transactions. Specifically, public chains such as Ethereum and Bitcoin were excellent means of accomplishing asset movement between parties.
The machine-readable web requires more: in order to query and leverage data as a readable and malleable asset to power applications, blockchain had to manage all data in a usable format for applications. At Fluree, this is what we called “Blockchain’s Data Problem.”
“We looked at blockchain a few years ago, but ultimately found it too complex for us to work into our business architecture.”
“We looked at blockchain a few years ago, but ultimately found it too complex for us to work into our business architecture.”
Blockchain was originally designed to facilitate peer-to-peer banking at scale – which required no or minimized data management capabilities. But when enterprises began their blockchain journeys, they found it difficult to retrofit the same first-generation blockchain technology into their existing technology stacks — primarily because most enterprise applications require sophisticated data storage and retrieval. For example, a supply chain application produces and pulls data in a variety of ways: purchase orders, store IDs, RFID inputs, and more.
Building blockchain applications that handle metadata to this level of sophistication is challenging from a development perspective as well as an ongoing integration management standpoint – and the overhead required in aligning this information to make it operational downstream for applications is near impossible to justify.
So, most folks just stick their data and metadata in a regular old database and use blockchain as yet another data silo. The lack of holistic data management defeats the original purpose by adding cost and complexity to the systems that this new technology was meant to simplify.
Fluree solves this data integration problem as a ground-up data management technology, allowing developers to build a unified and immutable data set to power and scale their applications. No sticky integrations or extra layers — just one, queryable data store optimized for enterprise applications.
Fluree focuses on a blockchain-backed data management solution that brings cryptography and trust to every piece of data in your system. By embracing semantic standards as a core component of storage (RDF) and retrieval (SPARQL, GraphQL), Fluree brings trust to the semantic web all under one scalable data management platform.
Fluree’s architecture is comprised of semantic standards, enterprise database capabilities, and blockchain characteristics that bring interoperability, trust, leverage, and freedom to data. It is truly the web3 data stack:
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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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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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