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There seems to be a lack of — ahem — *consensus* around blockchain’s definition.While the philosophical spectrum ranges from satoshi minimalists to mass enterprise adopters, it is important to first understand the technical componentry of blockchain in order to deploy it as a useful application. Here is a “feature-first” definition that may be useful in understanding these technical underpinnings:
Today, we’ll dive into immutability, a core defining feature of blockchain.Across the hundreds of articles and conversations around Blockchain, you’ll find the term “immutable” almost always present. Immutability — the ability for a blockchain ledger to remain a permanent, indelible, and unalterable history of transactions — is a definitive feature that blockchain evangelists highlight as a key benefit. Immutability has the potential to transform the auditing process into a quick, efficient, and cost-effective procedure, and bring more trust and integrity to the data businesses use and share every day.We spend trillions of dollars on cybersecurity solutions meant to keep outside prying eyes from accessing our sensitive data. But rarely do we fight the internal cybersecurity battle: ensuring that our data has not been manipulated, replaced, or falsified by a company or its employees. In many cases, we have come to simply trust that the data is correct by methods like private keys and user permissions. But in reality, we cannot prove — methodically or mathematically — that information in a standard application database is unequivocally tamper-free. Auditing becomes our next (and expensive) line of defense.Blockchain implementation can bring an unprecedented level of trust to the data enterprises use on a daily basis — immutability provides integrity (both in its technical and primary definition). With blockchain, we can prove to our stakeholders that the information we present and use has not been tampered with, while simultaneously transforming the audit process into an efficient, sensible, and cost-effective procedure.
A Brief Introduction to Cryptography and HashingBefore we dive into blockchain immutability, we’ll need to understand cryptographic hashing. Here are the basics:
Want to test out some basic hashing? Here is a free Sha-256 hash calculator: http://www.xorbin.com/tools/sha256-hash-calculatorCryptography + Blockchain Hashing Process = Immutability
Each transaction that is verified by the blockchain network is timestamped and embedded into a “block” of information, cryptographically secured by a hashing process that links to and incorporates the hash of the previous block, and joins the chain as the next chronological update.
The hashing process of a new block always includes meta-data from the previous block’s hash output. This link in the hashing process makes the chain “unbreakable” — it’s impossible to manipulate or delete data after it has been validated and placed in the blockchain because if attempted, the subsequent blocks in the chain would reject the attempted modification (as their hashes wouldn’t be valid).
In other words, if data is tampered with, the blockchain will break, and the reason could be readily identified. This characteristic is not found in traditional databases, where information can be modified or deleted with ease.The blockchain is essentially a ledger of facts at a specific point in time. For Bitcoin, those facts involve information about Bitcoin transfers between addresses. The below image shows how the checksum of transaction data is added as part of the header, which, in turn, is hashed into and becomes that entire block’s checksum.
Why does immutability matter? For the enterprise, immutability as a result of blockchain implementation presents a serious overhead saver as well as simplified auditing efforts & fraud prevention. We’ll break these concepts down:Complete Data Integrity — Ledgers that deploy blockchain technology can guarantee the full history and data trail of an application: once a transaction joins the blockchain, it stays there as a representation of the ledger up to that point in time. The integrity of the chain can be validated at any time by simply re-calculating the block hashes — if a discrepancy exists between block data and its corresponding hash, that means the transactions are not valid. This allows organizations and its industry regulators to quickly detect data tinkering.Simplified Auditing — Being able to produce the complete, indisputable history of a transactional ledger allows for an easy and efficient auditing process. Proving that data has not been tampered with is a major benefit for companies that need to comply with industry regulations. Some common use cases include supply chain management, finance (for example, Sarbanes-Oxley disclosures), and identity management.Increase in efficiencies — Maintaining a full historical record is not only a boon to auditing, but also provides new opportunities in query, analytics, and overall business processes. FlureeDB, for instance, takes advantage of the concept of time travel for business applications — where queries can be specified as of any block — or point in time — and reproduce that time’s version of the database, immediately.This capability allows for a host of time and cost savings — including tracking the provenance of major bugs, auditing specific application data, and backup and restoring database state changes to retrieve information. Immutability can make the most modern-day data problems that plague enterprise applications irrelevant.Proof of Fault — Disputes over fault in business are all too common. The construction industry accounts for $1 Trillion dollars in losses as a result of unresolved disputes. While blockchain won’t wholly dissolve this massive category of legal proceedings, it could be leveraged to prevent a majority of disputes related to data provenance and integrity (essentially proving who did what and at what time).Blockchain finality allows us — and a jury — to fully trust every piece of information.Fluree secures every transaction — proving who initiated it, when it was completed, and that it is free of tampering.
It even tracks the changes a SaaS vendor makes to your transaction before it reaches the data storage tier, meaning you can trust your SaaS data without fully trusting your SaaS vendor:
Immutability ≠ Perfect, Truthful DataBlockchain is a mechanism for detecting mathematical untruths, not a magical lie detector.Blockchain doesn’t inherently, automatically, or magically make data truthful — its implementation merely cryptographically secures it so that it will never be altered or deleted without consequence. Measures such as sharing your hash outputs directly with stakeholders (customers, auditors, etc.) or setting up a decentralized network of validation nodes are a good complement to the historical immutability the blockchain hashing process provides, to ensure an often-needed validation component.In addition: the stronger the enforcement rules, the more reliable the data on the blockchain (Exhibit A: Bitcoin’s proof of work).
What are the disadvantages of immutability? How can they be avoided?Having an unalterable history of transactions seems like the answer to many modern business problems — and it is, in many ways. But what happens when sensitive data — like employee’s home addresses — is accidentally published to a blockchain? Hopefully, this wouldn’t be an issue, as standard design decisions in building blockchain environments necessitate a separation between sensitive and personally-identifying information.If running a private, federated blockchain, your company would have to convince the other parties to agree to a “fork” in the blockchain — where a blockchain splits into two paths and the new designated database continues on. All or most parties involved in this blockchain will have to agree on the terms including which block to fork at and any additional rules of the new database. If this blockchain is truly public, it is next to impossible to have this information removed (a hard fork is also required here, but you are much more unlikely to convince the other parties in the network to comply).In terms of Databases and Infrastructure, isn’t holding the entire transaction history very costly with regard to space?Holding every database state might have been costly in the 90s, but current storage costs (1GB in AWS = $.023) are incredibly cheap. And the benefits (data integrity, ability to issue queries against any point in time) far outweigh the slight cost difference.
Fluree offers an ACID-compliant blockchain distributed ledger that records every state change in history as an immutable changelog entry. It allows for powerful query capability with FlureeDB, a graph query engine. By bringing blockchain to the data tier, Fluree is a practical and powerful infrastructure on which to build, distribute, and scale custom blockchains.
Semantic Partners, with its headquarters in London and a team across Europe and the US, is known for its expertise in implementing semantic products and data engineering projects. This collaboration leverages Fluree’s comprehensive suite of solutions, including ontology modeling, auto-tagging, structured data conversion, and secure, trusted knowledge graphs.
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Fluree is integrated with AWS, allowing users to build sophisticated applications with increased flexibility, scalability, and reliability.
Semiring’s natural language processing pipeline utilizes knowledge graphs and large language models to bring hidden insights to light.
Industry Knowledge Graph LLC is a company that specializes in creating and utilizing knowledge graphs to unlock insights and connections within complex datasets, aiding businesses in making informed decisions and optimizing processes.
Cobwebb specializes in providing comprehensive communication and networking solutions, empowering businesses with tailored services to enhance efficiency and connectivity.
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Sinisana provides food traceability solutions, built with Fluree’s distributed ledger technology.
Lead Semantics provides text-to-knowledge solutions.
TextDistil, powered by Fluree technology, targets the cognitive corner of the technology landscape. It is well-positioned to deliver novel functionality by leveraging the power of Large Language Models combined with the robust methods of Semantic Technology.
Project Logosphere, from Ikigai, is a decentralized knowledge graph that empowers richer data sets and discoveries.
Cibersons develops and invests in new technologies, such as artificial intelligence, robotics, space technology, fintech, blockchain, and others.
Powered by Fluree, AvioChain is an aviation maintenance platform built from the ground up for traceability, security, and interoperability.
Thematix was founded in 2011 to bring together the best minds in semantic technologies, business and information architecture, and traditional software engineering, to uniquely address practical problems in business operations, product development and marketing.
Opening Bell Ventures provides high-impact transformational services to C-level executives to help them shape and successfully execute on their Omni-Channel Digital Strategies.
Datavillage enables organizations to combine sensitive, proprietary, or personal data through transparent governance. AI models are trained and applied in fully confidential environments ensuring that only derived data (insights) is shared.
Vitality Technet has partnered with Fluree to accelerate drug discovery processes and enable ongoing collaboration across internal departments, external partners, and regulatory offices through semantics, knowledge graphs, and digital trust technologies.
SSB Digital is a dynamic and forward-thinking IT company specializing in developing bespoke solutions tailored to meet the unique needs and challenges of clients, ranging from predictive analytics and smart automation to decentralized applications and secure transactions.
Marzex is a bespoke Web3 systems development firm. With the help of Fluree technology, Marzex completed one of the first successful blockchain-based online elections in history.
Semantic Arts delivers data-centric transformation through a model-driven, semantic knowledge graph approach to enterprise data management.
Intigris, a leading Salesforce implementation partner, has partnered with Fluree to help organizations bridge and integrate multiple Salesforce instances.
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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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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.
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