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.
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?
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.
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.
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.
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.
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
Block chain is probably one of the technologies that has the potential to disrupt several business models. We are looking at Graph Analytics of temporal Graphs can help us see how a block chain ledger, network and an account changes over time.
EVRYTHNG created this white paper for the Blockchain Research Institute. The goal was to explore what blockchain technology can (and cannot) do for the the Internet of Things (IoT). The IoT is where the rubber meets the road for blockchain after all. Beyond the purely digital applications of finance, communication and intellectual property rights management lies the physical world where trillions of objects will be connected — connecting, communicating and exchanging value without human intervention.
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,soenkebartling@mailbox.org)
Associate researcher at the Humboldt Institute for Internet and Society Benedikt Fecher (benedikt.fecher@hiig.de)
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.
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.
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.
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
Block chain is probably one of the technologies that has the potential to disrupt several business models. We are looking at Graph Analytics of temporal Graphs can help us see how a block chain ledger, network and an account changes over time.
EVRYTHNG created this white paper for the Blockchain Research Institute. The goal was to explore what blockchain technology can (and cannot) do for the the Internet of Things (IoT). The IoT is where the rubber meets the road for blockchain after all. Beyond the purely digital applications of finance, communication and intellectual property rights management lies the physical world where trillions of objects will be connected — connecting, communicating and exchanging value without human intervention.
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,soenkebartling@mailbox.org)
Associate researcher at the Humboldt Institute for Internet and Society Benedikt Fecher (benedikt.fecher@hiig.de)
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’.
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
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
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.
Hadoop, streaming, terabytes, machine learning, batch, etc. Ces problématiques sous-tendent le déploiement d’une architecture Big Data en production. Mais si fondamentales soient-elles, qu’en est-il de l’utilisation de ces données ? Du point de vue de l’utilisateur, il s’agit de répondre à des questions comme : qu’y-a-t-il dans mes données ? Quel est le modèle numérique pertinent pour adresser mes questions métiers ? Mon modèle délivre-t-il la valeur attendue ? Comment partager cette valeur ?
Ces questions partagent une même racine, à savoir, comment passer de Hadoop ou du data lake à un environnement de travail utile et utilisable sans se noyer ?
C’est ce que nous vous proposons de découvrir dans cette session
Nous naviguerons au travers de différents cas d’utilisation (exploration, interprétation, et communication des résultats) et découvrirons les architectures et les outils à notre disposition à même de nous ouvrir des horizons presque infinis : Superset, Tableau, PowerBI pour naviguer, des notebooks (Jupyter, Zeppelin, R) pour analyser, D3.js pour créer des visualisation personnalisées dans le browser.
Pour cela, nulle raison de plonger dans un océan de données. Un sous ensemble modeste, un échantillon qui peut tenir dans la mémoire d’un laptop suffit dans la plupart des cas. On parle alors de data science, de data lab, mais surtout de data visualization.
En se basant sur des cas d’utilisation, nous illustrerons ces différentes étapes et découvrirons ensemble comment faire sortir l’information de votre data lake pour l'amener sur votre écran.
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 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 .
Most data integration software was built to run data through ETL servers. It worked well at the time for several reasons: there wasn’t that much data—1TB was considered a large amount of data at the time; most data was structured, and the turnaround time for that data was monthly. Even back then, daily loads became a problem for most companies. Because of the limitations of the early tools, much of the work was hand-coded, without documentation, and no central management.
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.
Dr. Dimitri De Jonghe of BigchainDB talks about:
Transparent Supply Chains:
-Know Your Product
-Product Identity
-Fraud detection
-Utilities as a service
Smart Factories as a Service:
-Rent-per-use / factory as a service
-ICO per product/recipe
-Self-owned factories
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
Tim Daubenschütz, developer and product manager at BigchainDB talks about COALA IP:
A blockchain-ready, community-driven protocol for intellectual property licensing.
COALA IP
...is Open: Developed in the open by a community effort, (COALA). Available under a Creative Commons license. Use how you like, just give attribution.
...Works for all media formats from JPEGs to STL. Plays well with existing protocols like DDEX (music), and PLUS photos and mashups like video stills
...to Use by blockchain startups and existing rights holders alike. Connect creatives with audiences via seamless IP handling. A win-win for all.
More information here: https://www.coalaip.org/
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3
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