Bruce Pon, CEO of BigchainDB talks about a database for the planet and mass adoption. But to reach everyone, it will need scale and the possibility for interoperability with legacy systems.
BigchainDB: Blockchains for Artificial Intelligence by Trent McConaghyBigchainDB
How can blockchains help AI?
-Decentralized model exchange
-Model audit trail
-AI DAOs
-more
A blockchain caveat or two
Completely new code bases
Reinventing consensus
No sharding = no scaling
No querying // single-node querying
Let’s fix this...
The new decentralized compute stack and its applicationBigchainDB
Dimitri De Jonghe of BigchainDB talks about the new decentralized compute stack, which helps to understand how your blockchain application or use case fits.
Examples of current applications and uses are also given.
Please contact BigchainDB for putting your blockchain idea into practice, today.
Why Blockchain Matters to Big Data - Big Data London Meetup - Nov 3, 2016BigchainDB
Why does blockchain matter to Big Data?
Bruce Pon, CEO and Co-Founder of BigchainDB talks about how blockchain and big data work together.
Follow BigchainDB on LinkedIn, download the whitepaper or sign up with at the IPDB Foundation to get access to a first test network build with BigchainDB to build your own blockchain application.
Opening presentation by Trent McConaghy at BigchainDB Hackfest #1 - Feb 28, 2017BigchainDB
Trent McConaghy's, CTO of BigchainDB, opening presentation at the first BigchainDB hackfest hosted alongside Microsoft and innogy. Showcasing our “hackathon-ready” product with real use cases thanks to Riddle&Code, LungoTavolo, Volkswagen Financial Services.
This document discusses BigchainDB, a scalable blockchain database, and the potential for blockchain applications to scale up and interconnect through protocols like Interledger. It summarizes BigchainDB's approach of applying techniques from distributed databases to blockchains to achieve high throughput and scale. It also outlines Interledger's goal of connecting different blockchains and ledgers to enable payments across platforms through the use of escrow and receipts to secure transfers between ledgers.
Blockchains and Governance: Interplanetary Database - BigchainDB & IPDB Meetu...BigchainDB
Greg McMullen, president of IPDB.foundation talks about the importance of traditional vs. blockchain governance to run a decentralised organisation and database technology.
Blockchain Beyond Finance - Cronos Groep - Jan 17, 2017BigchainDB
Towards the internet of value & trust.
"To develop shared global compute infrastructure,
we must first understand the status quo of infrastructure,
...and how to change it accordingly."
Dimitri De Jonghe, lead developer of BigchainDB talking about blockchain technology beyond the financial sector.
Personal data and the blockchain – how will the GDPR influence blockchain app...BigchainDB
Simon Schwerin from BigchainDB talkst about privacy and blockchain:
There are many blockchain applications in the field of identity, IP, finance and energy that are working with personal data. As of May, 28 2018 the new EU GDPR will be implemented, with the aim to strengthen the human rights of individuals, by increasing protection and a feel of ownership of their personal data. It is also supposed to be designed to be technologically neutral and adaptable to processing personal data in different contexts, structures and manners. With regards to blockchain this leaves many questions open, to name a few:
Who will be the data controller in decentralized multi-node systems? – Is there an Accountability Gap? Difference of Private vs. Public set-ups?
Privacy by Design/Default and blockchain core features – Implementation or Clash of Principles? What about the right to be forgotten?
How could a blockchain privacy impact assessment (bPIA) look like to increase the chance of compliance with GDPR next year?
Rather than trying to scale up blockchain technology, BigchainDB starts with a big data distributed database and then adds blockchain characteristics - decentralized control, immutability and the transfer of digital assets.
This document provides an introduction and overview of BigchainDB, including its architecture, transaction and consensus models, and potential use cases. The architecture uses a federated consensus model with blocks containing batches of transactions. Nodes vote on block validity using a consensus algorithm tolerant of some node failures. Examples of potential applications include tracking intellectual property assets, contracts, and high-volume financial/physical assets.
This document introduces BigchainDB, a scalable blockchain database built using Python. BigchainDB takes a "blockchain-ify big data" approach by leveraging existing distributed database techniques like Paxos to provide high throughput and low latency, while also incorporating blockchain characteristics like decentralization, immutability, and digital assets. It uses a federated voting system across nodes to validate transactions in blocks for decentralization. Benchmarks show it can process thousands of writes per second across dozens of nodes. Potential use cases include supply chain tracking for diamonds, energy, and medical journals.
Weaving the ILP Fabric into Bigchain DBInterledger
Dimitri De Jonghe presents on how Bigchain DB can use Interledger to connect disparate systems. Presented at the Interleder Workshop in London on 7/6/2016. Full presentation here: https://interledger.org/presentations/2016-07-06%20-%20ILP%20Workshop%20London%202016.pdf
An introduction to blockchain technology with a big data twist - BigchainDB. Demonstrated by a variety of non-financial decentralized apps: identity, intellectual property, supply chain, iot, data exchanges, fraud prevention, smart factories, etc...
Also features a decentralized stack for production architectures and some notions on consensus flavours and basic design patterns for unspent transactions ouputs (UTXO) and smart contracts.
Tools to Help *You* Rewire Music: OMI & COALA IP | IPDB | BigchainDBTrent McConaghy
Presented by Trent McConaghy at Open Music Initiative event in NYC, Mar 10, 2017.
An introduction to blockchain tech, IP on blockchains, an IP protocol, a scalable blockchain datatabase, and how to be successful with it.
The Evolution of Blue Ocean Databases, from SQL to BlockchainTrent McConaghy
1. The evolution of blue ocean databases, from Oracle to MySQL to MongoDB to BigchainDB
2. Decentralized software stacks, including decentralized file systems, decentralized databases, and decentralized processing (smart contracts)
[This was presented at a BigchainDB Hackfest, Feb 2017 in Berlin]
In supply chain and many other industry verticals there is a lot of opacity related to the origin of products and the chain of custody. Blockchain at scale unlocks a network of trust and value, which connects to the real world using IoT.
This document aims at listing key issues in Data Governance and study the value offered by KeeeX (http://keeex.io)
• KeeeX is non intrusive, since documents retain normal functionality, and there is no infrastructure
• Hence KeeeX needs not solve the whole technical data governance problem, but may operate as a complement to existing frameworks and infrastructures
Decentralized Markets for Data and Artificial IntelligenceDimitri De Jonghe
Society is becoming increasingly reliant on data, especially with the advent of AI. However, a small handful of organizations with both massive data assets and AI capabilities have become powerful with control that is a danger to a free and open society.
With the help of blockchain, tokenomics and privacy-by-design, Ocean Protocol aims to unlock data, for more equitable outcomes for users of data, using a thoughtful application of both technology and governance.
Blockchain technology created a distributed ledger system for recording transactions in a verifiable and permanent way. Originally developed for Bitcoin, blockchains provide a shared record of transactions that is continually reconciled across a network of computers. A blockchain stores transactions in groups called blocks that are linked together in a chain, providing an append-only record. Information held on a blockchain exists as a shared database that no single party controls, making it secure and transparent. Financial institutions are exploring applications of this technology due to its efficiency, speed, transparency, security, and resilience.
In AI, it's all about the data. But it's hard to get the data, and to get *good* data with provenance. This talk shows how blockchains can help, with real-world examples including:
-a data exchange for self-driving car data (with Toyota Research and others)
-pooling designs for 3d printing fraud detection (with Innogy and others)
-and AI DAOs - AIs that can accumulate wealth
This was given as an invited talk at Consensus 2017, May 22 in NYC.
This talk introduces Ocean protocol. It describes:
-how data drives AI (artificial intelligence)
-the gap between data-haves and AI-haves
-the data silo crisis
-how Ocean addresses these issues by creating a substrate to catalyze a flowering of data marketplaces
-the Ocean structured approach to token design, from values to stakeholders to software stack.
Video: https://www.youtube.com/watch?v=fMDD0aTVt4s
This talk was presented at "9984 Summit - Blockchain Futures for Developers, Enterprises, and Society" hosted by IPDB & BigchainDB.
Un contrato inteligente es una representación digital de un contrato, cuyas cláusulas se ejecutan automáticamente cuando se cumplen sus condiciones, sin necesidad de un intermediario. Debido a su potencial, instituciones de muy diversos ámbitos están explorando las posibilidades que les ofrece la aplicación de esta tecnología, encontrándose con un problema recurrente: la elevada curva de aprendizaje del diseño y creación de contratos inteligentes, tanto para los profesionales de las áreas de negocio, como para los desarrolladores no familiarizados con esta tecnología. En este seminario, tras analizar la situación actual en cuanto a la existencia de herramientas o soluciones para la definición de contratos inteligentes, se presenta una propuesta basada en la aplicación de técnicas y principios de la Ingeniería Dirigida por Modelos.
Blockchains can be applied to big data in several ways:
1) Blockchains can add a new data construct to big data systems by providing features like atomicity, immutability, and provenance to data.
2) Blockchain data from cryptocurrencies like Bitcoin can be analyzed alongside other data sources to generate insights for applications in areas like trading, risk scoring, and compliance.
3) Blockchains can be used to build applications that provide data governance, compliance, legal archiving, and chain of custody for big data lakes. They can also enable attribution and licensing of digital works.
The core feature of tokenized ecosystems, aka public blockchains, is getting people to do stuff. In this talk, I give more structure to this idea using a framing from optimization literature, and more precisely, evolutionary algorithms (EAs). I give examples of this approach using Bitcoin and Ocean Protocol as examples.
Link to video: https://www.youtube.com/watch?v=Sm8j0u5NuGQ
This document discusses representing blockchains as graphs to enable analysis and security applications. It describes blockchains as having three main layers that can be modeled as graphs:
1) The peer-to-peer network as a graph of nodes and connections.
2) Each node's ledger as a graph showing the evolution of closed and open ledgers over time.
3) Transactions within ledgers as a graph of accounts and transactions between them.
It then provides an example use case of monitoring server security logs as a temporal graph to detect tampering by comparing graphs using similarity measures like SimRank.
Things (sensors, actuators) that connect to the
Internet either directly or via gateways. They use IoT networking
protocols like Bluetooth Low Energy, ZigBee, LoRaWAN, etc.
»
Gateway: A device that connects multiple things to the Internet
using IoT networking protocols and acts as a bridge to the
Internet.
»
IoT platform: A cloud-based service that manages connectivity,
data storage, and processing for IoT applications. It exposes
APIs for applications to access data and control things.
»
Application: Software that interacts with the IoT platform to
access data, control things, and provide value to end users.
Blockchain for science and knowledge creation. A technical fix to the reprodu...eraser Juan José Calderón
Blockchain for science and knowledge creation. A technical fix to the reproducibility crisis ?
PD Dr. med. Sönke Bartling (@soenkeba,[email protected])
Associate researcher at the Humboldt Institute for Internet and Society Benedikt Fecher ([email protected])
German Institute for Economic Research and Alexander von Humboldt Institute for internet and society.
Abstract:
Blockchain technology has the capacity to make digital goods immutable, transparent,
externally provable, decentralized, and distributed. Besides the initial experiment or data
acquisition, all remaining parts of the research cycle could take place within a blockchain
system. Attribution, data, data postprocessing, publication, research evaluation,
incentivisation, and research fund distribution would thereby become comprehensible, open
(at will) and provable to the external world. Currently, scientists must be trusted to provide a true and useful representation of their research results in their final publication; blockchain would make much larger parts of the research cycle open to scientific selfcorrection. This bears the potential to be a technical solution to the current reproducibility crisis in science, and could ‘reduce waste and make more research results true’.
Rather than trying to scale up blockchain technology, BigchainDB starts with a big data distributed database and then adds blockchain characteristics - decentralized control, immutability and the transfer of digital assets.
This document provides an introduction and overview of BigchainDB, including its architecture, transaction and consensus models, and potential use cases. The architecture uses a federated consensus model with blocks containing batches of transactions. Nodes vote on block validity using a consensus algorithm tolerant of some node failures. Examples of potential applications include tracking intellectual property assets, contracts, and high-volume financial/physical assets.
This document introduces BigchainDB, a scalable blockchain database built using Python. BigchainDB takes a "blockchain-ify big data" approach by leveraging existing distributed database techniques like Paxos to provide high throughput and low latency, while also incorporating blockchain characteristics like decentralization, immutability, and digital assets. It uses a federated voting system across nodes to validate transactions in blocks for decentralization. Benchmarks show it can process thousands of writes per second across dozens of nodes. Potential use cases include supply chain tracking for diamonds, energy, and medical journals.
Weaving the ILP Fabric into Bigchain DBInterledger
Dimitri De Jonghe presents on how Bigchain DB can use Interledger to connect disparate systems. Presented at the Interleder Workshop in London on 7/6/2016. Full presentation here: https://interledger.org/presentations/2016-07-06%20-%20ILP%20Workshop%20London%202016.pdf
An introduction to blockchain technology with a big data twist - BigchainDB. Demonstrated by a variety of non-financial decentralized apps: identity, intellectual property, supply chain, iot, data exchanges, fraud prevention, smart factories, etc...
Also features a decentralized stack for production architectures and some notions on consensus flavours and basic design patterns for unspent transactions ouputs (UTXO) and smart contracts.
Tools to Help *You* Rewire Music: OMI & COALA IP | IPDB | BigchainDBTrent McConaghy
Presented by Trent McConaghy at Open Music Initiative event in NYC, Mar 10, 2017.
An introduction to blockchain tech, IP on blockchains, an IP protocol, a scalable blockchain datatabase, and how to be successful with it.
The Evolution of Blue Ocean Databases, from SQL to BlockchainTrent McConaghy
1. The evolution of blue ocean databases, from Oracle to MySQL to MongoDB to BigchainDB
2. Decentralized software stacks, including decentralized file systems, decentralized databases, and decentralized processing (smart contracts)
[This was presented at a BigchainDB Hackfest, Feb 2017 in Berlin]
In supply chain and many other industry verticals there is a lot of opacity related to the origin of products and the chain of custody. Blockchain at scale unlocks a network of trust and value, which connects to the real world using IoT.
This document aims at listing key issues in Data Governance and study the value offered by KeeeX (http://keeex.io)
• KeeeX is non intrusive, since documents retain normal functionality, and there is no infrastructure
• Hence KeeeX needs not solve the whole technical data governance problem, but may operate as a complement to existing frameworks and infrastructures
Decentralized Markets for Data and Artificial IntelligenceDimitri De Jonghe
Society is becoming increasingly reliant on data, especially with the advent of AI. However, a small handful of organizations with both massive data assets and AI capabilities have become powerful with control that is a danger to a free and open society.
With the help of blockchain, tokenomics and privacy-by-design, Ocean Protocol aims to unlock data, for more equitable outcomes for users of data, using a thoughtful application of both technology and governance.
Blockchain technology created a distributed ledger system for recording transactions in a verifiable and permanent way. Originally developed for Bitcoin, blockchains provide a shared record of transactions that is continually reconciled across a network of computers. A blockchain stores transactions in groups called blocks that are linked together in a chain, providing an append-only record. Information held on a blockchain exists as a shared database that no single party controls, making it secure and transparent. Financial institutions are exploring applications of this technology due to its efficiency, speed, transparency, security, and resilience.
In AI, it's all about the data. But it's hard to get the data, and to get *good* data with provenance. This talk shows how blockchains can help, with real-world examples including:
-a data exchange for self-driving car data (with Toyota Research and others)
-pooling designs for 3d printing fraud detection (with Innogy and others)
-and AI DAOs - AIs that can accumulate wealth
This was given as an invited talk at Consensus 2017, May 22 in NYC.
This talk introduces Ocean protocol. It describes:
-how data drives AI (artificial intelligence)
-the gap between data-haves and AI-haves
-the data silo crisis
-how Ocean addresses these issues by creating a substrate to catalyze a flowering of data marketplaces
-the Ocean structured approach to token design, from values to stakeholders to software stack.
Video: https://www.youtube.com/watch?v=fMDD0aTVt4s
This talk was presented at "9984 Summit - Blockchain Futures for Developers, Enterprises, and Society" hosted by IPDB & BigchainDB.
Un contrato inteligente es una representación digital de un contrato, cuyas cláusulas se ejecutan automáticamente cuando se cumplen sus condiciones, sin necesidad de un intermediario. Debido a su potencial, instituciones de muy diversos ámbitos están explorando las posibilidades que les ofrece la aplicación de esta tecnología, encontrándose con un problema recurrente: la elevada curva de aprendizaje del diseño y creación de contratos inteligentes, tanto para los profesionales de las áreas de negocio, como para los desarrolladores no familiarizados con esta tecnología. En este seminario, tras analizar la situación actual en cuanto a la existencia de herramientas o soluciones para la definición de contratos inteligentes, se presenta una propuesta basada en la aplicación de técnicas y principios de la Ingeniería Dirigida por Modelos.
Blockchains can be applied to big data in several ways:
1) Blockchains can add a new data construct to big data systems by providing features like atomicity, immutability, and provenance to data.
2) Blockchain data from cryptocurrencies like Bitcoin can be analyzed alongside other data sources to generate insights for applications in areas like trading, risk scoring, and compliance.
3) Blockchains can be used to build applications that provide data governance, compliance, legal archiving, and chain of custody for big data lakes. They can also enable attribution and licensing of digital works.
The core feature of tokenized ecosystems, aka public blockchains, is getting people to do stuff. In this talk, I give more structure to this idea using a framing from optimization literature, and more precisely, evolutionary algorithms (EAs). I give examples of this approach using Bitcoin and Ocean Protocol as examples.
Link to video: https://www.youtube.com/watch?v=Sm8j0u5NuGQ
This document discusses representing blockchains as graphs to enable analysis and security applications. It describes blockchains as having three main layers that can be modeled as graphs:
1) The peer-to-peer network as a graph of nodes and connections.
2) Each node's ledger as a graph showing the evolution of closed and open ledgers over time.
3) Transactions within ledgers as a graph of accounts and transactions between them.
It then provides an example use case of monitoring server security logs as a temporal graph to detect tampering by comparing graphs using similarity measures like SimRank.
Things (sensors, actuators) that connect to the
Internet either directly or via gateways. They use IoT networking
protocols like Bluetooth Low Energy, ZigBee, LoRaWAN, etc.
»
Gateway: A device that connects multiple things to the Internet
using IoT networking protocols and acts as a bridge to the
Internet.
»
IoT platform: A cloud-based service that manages connectivity,
data storage, and processing for IoT applications. It exposes
APIs for applications to access data and control things.
»
Application: Software that interacts with the IoT platform to
access data, control things, and provide value to end users.
Blockchain for science and knowledge creation. A technical fix to the reprodu...eraser Juan José Calderón
Blockchain for science and knowledge creation. A technical fix to the reproducibility crisis ?
PD Dr. med. Sönke Bartling (@soenkeba,[email protected])
Associate researcher at the Humboldt Institute for Internet and Society Benedikt Fecher ([email protected])
German Institute for Economic Research and Alexander von Humboldt Institute for internet and society.
Abstract:
Blockchain technology has the capacity to make digital goods immutable, transparent,
externally provable, decentralized, and distributed. Besides the initial experiment or data
acquisition, all remaining parts of the research cycle could take place within a blockchain
system. Attribution, data, data postprocessing, publication, research evaluation,
incentivisation, and research fund distribution would thereby become comprehensible, open
(at will) and provable to the external world. Currently, scientists must be trusted to provide a true and useful representation of their research results in their final publication; blockchain would make much larger parts of the research cycle open to scientific selfcorrection. This bears the potential to be a technical solution to the current reproducibility crisis in science, and could ‘reduce waste and make more research results true’.
This document describes BigchainDB, a scalable blockchain database. BigchainDB combines the key benefits of distributed databases and blockchains, with an emphasis on scale. It is built on an existing distributed database to inherit high throughput, capacity, low latency, and querying abilities. BigchainDB also adds blockchain characteristics like decentralized control, immutability, and the ability to create and transfer digital assets. The goal is to provide a decentralized database at scale, filling a gap in existing blockchain technologies.
Paradigm Capital Blockchain, Cryptocurrency & Apps ReportDaniel Lee
The document discusses the opportunities in blockchain technology and cryptocurrency. It notes that blockchain has the potential to massively change business processes and industries, as well as unlock new business opportunities, similar to how the internet impacted markets. Blockchain also has the potential to help distribute wealth more widely by banking the unbanked global population. The document provides an overview of the blockchain and cryptocurrency markets, Canadian companies involved, popular blockchain applications like Bitcoin and Ethereum, and concludes that we are still in the early stages of blockchain's impact and the opportunity for high returns has just begun.
Educaterer India is an unique combination of passion driven into a hobby which makes an awesome profession. We carve the lives of enthusiastic candidates to a perfect professional who can impress upon the mindsets of the industry, while following the established traditions, can dare to set new standards to follow. We don't want you to be the part of the crowd, rather we like to make you the reason of the crowd.
Today's Effort For A Better Tomorrow
1) The document discusses V SYSTEMS, a new blockchain database and apps platform that aims to address scalability issues with existing blockchain technologies and enable widespread blockchain adoption.
2) It proposes a new consensus mechanism called Supernode Proof-of-Stake (SPoS) and a mainchain-sidechain model to improve scalability.
3) The platform will provide tools for deploying blockchains, migrating databases, and developing smart contracts and decentralized apps.
Blockchain technology can revolutionise the provision of decentralised Applications Dapps, as well as help IoT systems to boot to reduce the cost of this development, the stakeholders to determine how to distribute benefits and take into account five basic principles:
• Potential effects of technology on IoT systems
• Organisational changes
• Secure the correct data
• Financing electronic IoT systems
• Security and privacy of user data
[db tech showcase Tokyo 2018] #dbts2018 #B23 『Python, Oracle Cloud, Blockchai...Insight Technology, Inc.
[db tech showcase Tokyo 2018] #dbts2018 #B23
『Python, Oracle Cloud, Blockchain & Cryptocurrency - The Perfect Combination』
Data Intensity - Director of Innovation Francisco Munoz Alvarez 氏
The document summarizes Martin Walker's workshop on fads in information technology. It discusses how new technologies and methods are often labeled as magic or revolutionary before their true impacts and limitations are known. It provides blockchain, agile development, and digital transformation as examples of concepts that have been adopted as fads in some cases. The document emphasizes the importance of questioning new solutions, understanding the problems they aim to address, and having evidence that they are better than alternatives rather than blindly trusting proponents of new technologies.
Blockchain Demystified for Business Intelligence ProfessionalsJen Stirrup
Blockchain is a transformational technology with the potential to extend digital transformation beyond an organization and into the processes it shares with suppliers, customers, and partners.
What is blockchain? What can it do for my organization? How can your organisation manage a blockchain implementation? How does it work in Azure?
Join this session to learn about blockchain and see it in action. We will also discuss the use cases for blockchain, and whether it is here to stay.
Off the Chain: Scaling Blockchain Data With Kafka With Jan Svoboda and Alex S...HostedbyConfluent
Off the Chain: Scaling Blockchain Data With Kafka With Jan Svoboda and Alex Stuart | Current 2022
Despite the plentiful hype, blockchain technology hasn't solved world hunger (yet). Nor has it dealt with the issues of low data throughput, deployment complexity and high costs.
We believe that bringing in another immutable distributed event store in the form of Apache Kafka presents an opportunity to leverage the benefits of both systems to create a more scalable and accessible solution.
This session will explain how slow data on the blockchain can be joined together with fast data in Kafka and published out to other systems. Jan and Alex (two of Confluent’s resident crypto fans) will walk through a prototype of a distributed blockchain application that will help with electric car battery management.
Car battery identity data will be stored on a blockchain whereas the actual charge state data will be streamed to Kafka as part of the electric car charging process. Bringing the data together will allow us to have an improved and secure battery lifecycle management.
This session is targeted for anyone who is interested in learning about blockchain technology, event streaming, and interoperability of blockchain data with a wider business. Demo application code will be available to participants.
Blockchain can be used across the whole manufacturing industry to address all different types of projects and stakeholders. Its value to the manufacturing vertical is promising as Industry 4.0 continues to grow.
Computational science and engineering (CSE) utilizes high performance computing, large-scale simulations, and scientific applications to enable data-driven discovery. The speaker discusses CSE initiatives at UC Berkeley and Lawrence Berkeley National Lab focused on areas like health, freshwater, food security, ecosystems, and urban metabolism using exascale computing and big data analytics.
This document discusses a presentation on big data and data visualization from lake to screen. It covers exploring data in a data lake using tools like Tableau and Jupyter notebooks. Models can be built to predict things like train delays. Visualizations are then created using technologies like D3.js to communicate insights from the data and models. The goal is to extract value from large, raw data sources through the entire data science process from exploration to communication.
R newton quantum innovation and i road stack 03oct18Randall Newton
Presentation slides from 03OCT18 presentation at Synergis Adept User Experience Conference. Topics include design thinking, innovation, technology stacks, new horizons.
Blockchain is a new technology that allows for more secure and transparent transactions by recording them in distributed ledgers known as blockchains. Encrypted Labs is a blockchain consulting company that helps clients identify problems that can be solved using blockchain applications. They work with clients to design customized blockchain solutions and have expertise in a variety of industries. Some potential use cases discussed include supply chain management, cybersecurity, healthcare records, and intellectual property tracking.
Afterwork big data et data viz - du lac à votre écranJoseph Glorieux
This document discusses a data visualization workshop hosted by OCTOSuisse on exploring and visualizing big data from a data lake. It provides an overview of OCTO's big data capabilities and projects. It then uses a case study of Swiss public transportation data to demonstrate data exploration, analysis, and visualization techniques using tools like Tableau. The goal is to understand data, identify insights, and effectively communicate findings to others.
Blockchain Technology and Its Application in Artificial Intelligence and Mach...Dr. Kotrappa Sirbi
Blockchain and Artificial Intelligence are two of the hottest technology trends right now. Even though the two technologies have highly different developing parties and applications, researchers have been discussing and exploring their combination .
This document discusses the paradigm shift in data integration due to growing amounts of data from various sources. It outlines 5 principles and 5 capabilities of modern data integration, which takes processing to where the data lives, leverages multiple platforms, moves data point-to-point, manages rules centrally, and allows changes using existing logic. A case study shows how a bank migrated data to Hadoop in 3 weeks using these principles, lowering costs by 50% compared to traditional ETL. Looking ahead, real-time data access will become more important for businesses.
Blockchains may provide the operating system for a new world, but what will that world look like? We dream of a crypto utopia, but the reality has been less hopeful. Proof of work is an environmental nightmare. Proof of stake formalizes the oversized influence of the rich. Since IPDB’s inception, we’ve been trying to create a system of governance that delivers the future we want. This is what we’ve learned.
Greg McMullen, Executive Director of IPDB, presents his 9984 Summit: Blockchain Futures for Developers, Enterprises and Societies keynote on how to think about blockchain governance.
This document discusses creating transparent supply chains and smart factories as a service through data and blockchain technology. It describes using digital twins and blockchains to provide supply chain transparency by knowing the origin and authenticity of products. This includes tracking materials from source through production and distribution. Smart factories as a service are discussed as enabling mass customization through trusted and automated production based on digital recipes and footprints, with funding through ICOs. Production would be governed by smart contracts and digital certificates to enforce quality, provenance and liability.
Artificial Intelligence (AI) and Law - BigchainDB & IPDB Meetup #4 - April 05...BigchainDB
Greg McMullen, Executive Director of the IPDB Foundation, discusses the legal and policy issues raised by AI, including employment, liability, ability to contract, intellectual property rights, and human rights.
Trent McConaghy, CTO of BigchainDB, talks about the journey from blockchain databases, to DAOs to AI DAOs, covering everything from the architecture to knowledge extraction and machine creativity.
Estonia E-Residency: Country as a Service - BigchainDB & IPDB Meetup #3 - Fe...BigchainDB
BigchainDB CTO Trent McConaghy talks about the e-residency program of Estonia.
Typically “citizens” have rights -
But what rights do I have as a citizen of “the world”?
COALA IP: a blockchain-ready Intellectual property licensing protocol - Bigch...BigchainDB
COALA IP is a blockchain-ready IP licensing protocol developed by the COALA IP working group to create an open, interoperable, and extensible standard for intellectual property rights management. The protocol aims to leverage existing technologies like blockchain and IPFS to create an auditable system for tracking IP ownership and licensing. It uses a directed graph data model with JSON objects linked via IPLD and Merkle trees to represent things like authors, creations, manifestations, licenses, and ownership transfers in a way that is blockchain-agnostic and can be queried across ledgers. The working group has published a whitepaper and is working on a reference implementation to establish COALA IP as a community-driven open standard.
A BigchainDB use case: Weaving the ILP fabric into BigchainDBBigchainDB
Dimitri De Jonghe from Ascribe/BigchainDB describes how Interledger provides a powerful logical framework for distributed ledgers. He demonstrates the use of crypto-conditions inside of BigchainDB, making it the first distributed ledger with native interoperability through Interledger.
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
A database for the planet - Scot Chain Edinburgh - Nov 11, 2016
1. Database for the Internet
A database for the planet
ScotChain, Edinburgh
Nov. 11, 2016
Bruce Pon
@brucepon
2. - Erik Brynjolfsson
Electricity is an example of a general
purpose technology, like the steam
engine before it. General purpose
technologies drive most economic
growth, because they unleash cascades
of complementary innovations, like
lightbulbs and, yes, factory redesign.
3. Blockchain technology allows
The Digitization of Value
• Next wave of digitization
• Weave into the fabric of our society
• Larger than the internet
4. The Internet Drove the Digitization of Information
Knowledge freely shareable for the world
spawned billion dollar companies:
- Amazon
- Google
- Facebook
Gave voice to the powerless
Connected the powerful
5. The blockchain is a truly open, distributed, global platform that fundamentally
changes what we can do online, how we do it, and who can participate.
Call it the world wide ledger.
The Internet of Everything needs a Ledger of Everything.
- Don & Alex Tapscott
7. BACK OFFICE EFFICIENCY SUPPLY CHAIN RISK MODELS
Unlocks Data Lakes and Big Data Tools
Data Transparency
8. Asset Sovereignty
$
BANK
COURT
EXCHANGE
Own your private data, intellectual property,
financial assets, land property without the
reliance on others to secure it.
A global network that allows assets to “live”
within.
13. CC BY-SA 3.0 File:Grand-Bazaar Shop.jpg Uploaded by Dmgultekin Created: 22 July 2010
The Internet is
Like a Bazaar
Consumers want content but
if it’s not on iTunes or
Amazon, they go to Google:
Search for content
Find it
Right click
‘Save As…’
15. Bitcoin derived blockchains cannot be used in for mass adoption
because of limits to scaling, interoperability, and security
Throughput
2 transactions per
second isn’t enough
Latency
10 minutes is too
slow
Capacity
80GB is laughable for
a database
Performance
Decreases as nodes
are added
Query
Not indexed or
queryable
Novelty
Tech stack is
bleeding edge
Current Blockchains Are Unsuitable
15
16. What is a Blockchain? The sum of its parts?
Database EncryptionConsensus
17. What is a Blockchain? What features it brings?
Decentralized Asset
Autonomy
Immutable
A pragmatic definition that allows for an expanded opportunity
surface and blue ocean thinking
18. AgendaTwo Ways to Scale Up
1
Big Data-fy Blockchains
2
Blockchain-ify Big Data
… but how to blockchainify?
Build on person-decades of work
Significant scalability hurdles
Build on person-centuries of work
Scalability challenges already resolved
or
19. BigchainDB looks, acts and feels like a database.
Enterprises can deploy blockchain applications quickly and integrate to existing systems
Designed for Enterprises
Throughput
100,000 transactions
per second
Latency
Sub-second
Capacity
Petabytes
Performance
Improves as nodes
are added
Query
Indexed and
queryable
Novelty
Leverages existing
DBs & systems
19
Complimentary to Ethereum, Bitcoin, Hyperledger and other Blockchain Technology
20. AgendaIt Works Like the DNS – Domain Name System
MongoDB consensus
Consistent and Resilient
Blockchain consensus
Trust is distributed BigchainDB
Federation
MongoDB
Platform
ALICE
BOB
21. AgendaBest of Two Worlds
More at: bigchaindb.com/whitepaper
BIG DATA DATABASESBITCOIN BIGCHAINDB
Immutability
Decentralized control
Asset autonomy
High throughput
Low latency
High capacity
Access permissioning
Query & search
22. AgendaKey Enterprise Features
Security & Privacy
Key distribution infrastructure allows network
participants to identify new members and
members to have full control to selectively
grant data access
Data Immutability
Suppression of internode communication and DB
admin activities guarantees that data can’t be
modified
Massive Scalability
Pipelining of events into a backlog table
allows block creation every second with
transaction validation in parallel.
Throughput of 100k+ transactions per
seconds
Business Logic Automation
Circuit inspired crypto-conditions allow
business logic automation and escrow. If/Then
simple contracts can be triggered with
multisig, time and hash locks
Robust Architecture
Inherits the performance and scalability of the
underlying database substrate. Customers can
choose their preferred database substrate to
minimize integration and interoperability barriers