Come and learn about Ocean Protocol, a blockchain powered infrastructure built specifically to enable data sharing. It addresses a lot of the challenging issues surrounding data privacy, trust, security, auditability, and control, which is a key factor hindering data sharing in the private sectors.
Dr Irene López de Vallejo, Tue, 11 Dec 2018
The slides from thecontinuing part of Pistoia Alliance's drive to improve education and communication around new technologies to life science professionals, this webinar explored how blockchain/DLT and IoT could come together to add even more trust to the GxP domain. If you want to know more about how these new technologies could help enhance GxP compliance, then this webinar will give you much food for thought.
A.Schumacher (2017) Blockchain & Healthcare: A Strategy GuideGalen Growth
The healthcare industry needs a revolution – and it is here now. Trusted and open R&D processes, auditable & secure transactions between parties, authenticated by mass collaboration and powered by collective self-interest, rather than by fewer and fewer pharmaceutical giants motivated by profit alone. This healthcare ecosystem is immune to exorbitant drug prices, tampering, fraud, or political control. The name of the technology that makes all this happen is blockchain, a tool that will fundamentally change the healthcare sector. Blockchain will prove to be indispensable in building a global precision-medicine ecosystem that optimally connects patients, clinicians, researchers, insurers and clinical laboratories to one another.
Blockchain has become a popular technical term to drop over the past six months, most people cannot effectively explain Blockchain or describe its real value and application to the marketplace. Hopefully, this presentation will help you better understand...
Final Master's Defense Presentation : Policy-driven Security Management in Ga...Clinton DSouza
As part of a Cisco Inc. funded project, I worked with Dr. Gail-Joon Ahn to propose a Policy Management framework to address secure collaboration and communication between disparate systems and Internet of Thing devices. We took this research one step further by proposing a robust, interacting and responsive edge-based infrastructure which we termed GORE computing. The Policy Management framework thus proposed in this computing paradigm is generic in nature with the intention of it being capable for utilization in futuristic edge-based computing paradigms for IoT based devices.
The slides from thecontinuing part of Pistoia Alliance's drive to improve education and communication around new technologies to life science professionals, this webinar explored how blockchain/DLT and IoT could come together to add even more trust to the GxP domain. If you want to know more about how these new technologies could help enhance GxP compliance, then this webinar will give you much food for thought.
A.Schumacher (2017) Blockchain & Healthcare: A Strategy GuideGalen Growth
The healthcare industry needs a revolution – and it is here now. Trusted and open R&D processes, auditable & secure transactions between parties, authenticated by mass collaboration and powered by collective self-interest, rather than by fewer and fewer pharmaceutical giants motivated by profit alone. This healthcare ecosystem is immune to exorbitant drug prices, tampering, fraud, or political control. The name of the technology that makes all this happen is blockchain, a tool that will fundamentally change the healthcare sector. Blockchain will prove to be indispensable in building a global precision-medicine ecosystem that optimally connects patients, clinicians, researchers, insurers and clinical laboratories to one another.
Blockchain has become a popular technical term to drop over the past six months, most people cannot effectively explain Blockchain or describe its real value and application to the marketplace. Hopefully, this presentation will help you better understand...
Final Master's Defense Presentation : Policy-driven Security Management in Ga...Clinton DSouza
As part of a Cisco Inc. funded project, I worked with Dr. Gail-Joon Ahn to propose a Policy Management framework to address secure collaboration and communication between disparate systems and Internet of Thing devices. We took this research one step further by proposing a robust, interacting and responsive edge-based infrastructure which we termed GORE computing. The Policy Management framework thus proposed in this computing paradigm is generic in nature with the intention of it being capable for utilization in futuristic edge-based computing paradigms for IoT based devices.
Global Digital Sukuk (GDS) - A basic frameworkTariqullah Khan
GDS is a suggested digital Sukuk based on the idea of Bitcoin, but is proposed to be a registered and regulated digital(crypto)-asset as a perpetual Mudharabah issued on Public Blockchain by a credible SDGs oriented entity based on the entity’s overall balance sheet strength. The keywords are:
a. Digital(Crypto)-asset that is registered and regulated
b. On Public Blockchain
c. Perpetual Mudharabah Sukuk
d. Based on the overall balance sheet strength of the issuer
e. The issuer is a SDGs oriented business entity having track record of issuing Sukuk.
The future of data security and blockchainUlf Mattsson
Discussion of Post-Quantum Cryptography and other technologies:
Data Security Techniques
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Blockchain
Regulations and Standards in Data Privacy
The most relevant platforms overview for blockchain developers in 2020Blockchain Council
In addition to its versatile capabilities, blockchain technology still has the potential for growth. Blockchain platforms enable blockchain developers to develop apps to enhance and expand the uses and tools of the technology. Despite their cutting edge technology, blockchain platforms’ pros and cons still need to be considered when you intend to be involved in the blockchain industry.
Agriculture is one of the areas where blockchain technology could bring a revolution by solving the
existing problem of Agri-product fraud, its traceability, price manipulation, and lack of customer trust in
the product. This paper aims to demonstrate the potential application of blockchain technology in the
agriculture industry and how it could address the existing issues by surveying the existing paper and
following case studies of the blockchain start-up companies. Blockchain technology shows a promising
approach to fostering a safer, better, more sustainable, and dependable agri-foods system in the future.
While the application of blockchain in agriculture is in the initial phase and faces various issues like cost
of implementation, privacy, security scalability, performance, and infancy, it can bring a revolution in the
agriculture industry.
Secure and Smart IoT using Blockchain and AIAhmed Banafa
The first 29 pages of my book "Secure and Smart IoT Using Blockchain and AI " Including Forward, Preface, Table of Contents , list of Figures, and Chapter 1. https://www.amazon.com/Secure-Smart-Internet-Things-IoT/dp/8770220301/
I created this presentation for a client who wanted to understand how blockchain technology can be used in healthcare, particularly for eHR (electronic health record). They wanted a non-technical overview.
This document presents an overview of the Blockchain applications in Life Sciences. The applications are mapped onto Life Sciences value chain – preclinical, clinical, manufacturing, distribution, and customer. Blockchain could be used in many applications across the value chain including but not limited to peer-to-peer network, data storage, smart contracts and file sharing. This innovative technology presents a lot of promise in accelerating drug discovery and removing many inefficiencies.
This disclaimer informs readers know that the views, thoughts, and opinions expressed in the presentation belong solely to the author, and not to the author’s employer, organization, committee or other group or individual.
Charith Perera and Arkady Zaslavsky, Improve the Sustainability of Internet of Things Through Trading-based Value Creation, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Big data security challenges and recommendations!cisoplatform
What will you learn:
- Key Insights on Existing Big Data Architecture
- Unique Security Risks and Vulnerabilities of Big Data Technologies
- Top 5 Solutions to mitigate these security challenges
Building trust and accountability - the role User Experience design can play ...Pistoia Alliance
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
Expanded top ten_big_data_security_and_privacy_challengesTom Kirby
There is some really great stuff coming out of the CSA working & research groups these days. I found this particular research paper from the big data working group to be extremely relevant and useful
My presentation on #Blockchain technology and the opportunity to improve #Healthcare. I presented it at #HIMSSEurope during the #eHealthWeek in Malta on May 2017.
A Decision Model for Choosing Patterns in Blockchain-based ApplicationsDilum Bandara
Slides for A Decision Model for Choosing Patterns in Blockchain-based Applications talk at Colombo Blockchain Meetup (June 2021) based on paper presented at 18th IEEE Int. Conf. on Software Architecture (ICSA 2021)
Data Mesh is the decentralized architecture where your units of architecture is a domain driven data set that is treated as a product owned by domains or teams that most intimately know that data either creating it or they are consuming it and re-sharing it and allocated specific roles that have the accountability and the responsibility to provide that data as a product abstracting away complexity into infrastructure layer a self-serve infrastructure layer so that create these products more much more easily.
Global Digital Sukuk (GDS) - A basic frameworkTariqullah Khan
GDS is a suggested digital Sukuk based on the idea of Bitcoin, but is proposed to be a registered and regulated digital(crypto)-asset as a perpetual Mudharabah issued on Public Blockchain by a credible SDGs oriented entity based on the entity’s overall balance sheet strength. The keywords are:
a. Digital(Crypto)-asset that is registered and regulated
b. On Public Blockchain
c. Perpetual Mudharabah Sukuk
d. Based on the overall balance sheet strength of the issuer
e. The issuer is a SDGs oriented business entity having track record of issuing Sukuk.
The future of data security and blockchainUlf Mattsson
Discussion of Post-Quantum Cryptography and other technologies:
Data Security Techniques
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Blockchain
Regulations and Standards in Data Privacy
The most relevant platforms overview for blockchain developers in 2020Blockchain Council
In addition to its versatile capabilities, blockchain technology still has the potential for growth. Blockchain platforms enable blockchain developers to develop apps to enhance and expand the uses and tools of the technology. Despite their cutting edge technology, blockchain platforms’ pros and cons still need to be considered when you intend to be involved in the blockchain industry.
Agriculture is one of the areas where blockchain technology could bring a revolution by solving the
existing problem of Agri-product fraud, its traceability, price manipulation, and lack of customer trust in
the product. This paper aims to demonstrate the potential application of blockchain technology in the
agriculture industry and how it could address the existing issues by surveying the existing paper and
following case studies of the blockchain start-up companies. Blockchain technology shows a promising
approach to fostering a safer, better, more sustainable, and dependable agri-foods system in the future.
While the application of blockchain in agriculture is in the initial phase and faces various issues like cost
of implementation, privacy, security scalability, performance, and infancy, it can bring a revolution in the
agriculture industry.
Secure and Smart IoT using Blockchain and AIAhmed Banafa
The first 29 pages of my book "Secure and Smart IoT Using Blockchain and AI " Including Forward, Preface, Table of Contents , list of Figures, and Chapter 1. https://www.amazon.com/Secure-Smart-Internet-Things-IoT/dp/8770220301/
I created this presentation for a client who wanted to understand how blockchain technology can be used in healthcare, particularly for eHR (electronic health record). They wanted a non-technical overview.
This document presents an overview of the Blockchain applications in Life Sciences. The applications are mapped onto Life Sciences value chain – preclinical, clinical, manufacturing, distribution, and customer. Blockchain could be used in many applications across the value chain including but not limited to peer-to-peer network, data storage, smart contracts and file sharing. This innovative technology presents a lot of promise in accelerating drug discovery and removing many inefficiencies.
This disclaimer informs readers know that the views, thoughts, and opinions expressed in the presentation belong solely to the author, and not to the author’s employer, organization, committee or other group or individual.
Charith Perera and Arkady Zaslavsky, Improve the Sustainability of Internet of Things Through Trading-based Value Creation, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Big data security challenges and recommendations!cisoplatform
What will you learn:
- Key Insights on Existing Big Data Architecture
- Unique Security Risks and Vulnerabilities of Big Data Technologies
- Top 5 Solutions to mitigate these security challenges
Building trust and accountability - the role User Experience design can play ...Pistoia Alliance
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
Expanded top ten_big_data_security_and_privacy_challengesTom Kirby
There is some really great stuff coming out of the CSA working & research groups these days. I found this particular research paper from the big data working group to be extremely relevant and useful
My presentation on #Blockchain technology and the opportunity to improve #Healthcare. I presented it at #HIMSSEurope during the #eHealthWeek in Malta on May 2017.
A Decision Model for Choosing Patterns in Blockchain-based ApplicationsDilum Bandara
Slides for A Decision Model for Choosing Patterns in Blockchain-based Applications talk at Colombo Blockchain Meetup (June 2021) based on paper presented at 18th IEEE Int. Conf. on Software Architecture (ICSA 2021)
Data Mesh is the decentralized architecture where your units of architecture is a domain driven data set that is treated as a product owned by domains or teams that most intimately know that data either creating it or they are consuming it and re-sharing it and allocated specific roles that have the accountability and the responsibility to provide that data as a product abstracting away complexity into infrastructure layer a self-serve infrastructure layer so that create these products more much more easily.
AWS re:Invent 2016: Blockchain on AWS: Disrupting the Norm (GPST301)Amazon Web Services
Recent interest in leveraging distributed ledgers across multiple industries has elevated blockchain from mere theory and into the spotlight of real world use. Learn why some partners have a vested interest in it and how blockchain can be used with AWS. In this session, we explore the AWS services needed for a successful deployment and dive deep into a partner's blockchain journey on AWS.
Logical Data Fabric and Industry-Focused Solutions by IQZ SystemsDenodo
Watch full webinar here: https://bit.ly/3egOGfr
Logical data fabric, the theme of DataFest 2021, is an exciting new development in data architecture and management, and it is already delivering dramatic benefits in terms of business acceleration and agility. But how did logical data fabric come about, and how can logical data fabric be used to build industry-focused solutions?
In this presentation, Sathish TK, CTO at IQZ Systems, a global technology solutions company, will provide an introduction to logical data fabric, and then discuss specific IQZ solutions for financial services and insurance that are based on logical data fabric.
You will learn:
- What percentage of the available data is actually used for analysis, on average, using traditional data integration strategies
- The benefits of logical data fabric
- The main deployment options for logical data fabric
- How one IQZ financial services customer established golden records for complex data entities by leveraging logical data fabric
- How IQZ leveraged logical data fabric to create a life policy status tracker application
Blockchain applications demand standard testing such as functional performance, integration, and security testing. In addition, testing teams must have these specialized testing capabilities including Smart Contracts testing and Node Testing. know how differently each industry is influencing Blockchain Testing capabilities.
Organizations are looking for secure and robust platforms to transparently share the information and build absolute trust for the end user.
Blockchain can help organizations maintain transparency through Decentralization with added security.
Adopting Blockchain can have certain challenges such as high energy consumption, integration issues, privacy and security issues.To overcome these challenges blockchain testing is important to implement
Privacy and data protection are important in the context of IoT. The CPaaS.io platform empowers citizens to control the data that is related to them. This presentation given at the first year review meeting in Tokyo on October 5, 2017 explains how.
Disclaimer:
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European Commission and NICT have no liability in respect of this document, which is merely representing the view of the project consortium. This document is subject to change without notice.
Blockchain technology has huge potential to decentralize trust in supply chains and bring measurable benefits and value to the public and private sectors. To unlock this potential, the
OriginTrail protocol was designed purposefully to tackle the main challenges which limit the fluent exchange of, and integrity of data in product supply chains. With supply chain data
becoming increasingly fragmented, scalability and cost concerns of current decentralized solutions become evident.
OriginTrail is a unique solution allowing IT providers in supply chains to set up blockchain supported data sharing in multi-organizational environment. It helps them build transparency
beyond the “one step down, one step up” traceability principle. Furthermore, it improves the integrity of product data and drives efficiencies for stakeholders. The first version of the
OriginTrail solution is proven and currently deployed in the food industry. The upcoming open source version will be suitable to any product supply chain such as automotive,
consumer goods, pharmaceutical etc.
Visit our website:
www.origin-trail.com/token-sale
"Does blockchain hold the key to a new age of supply chain transparency and t...eraser Juan José Calderón
The report, "Does blockchain hold the key to a new age of supply chain transparency and trust?", provides a comprehensive overview into the businesses and geographies that are ramping up their blockchain readiness, and predicts that blockchain will enter mainstream use in supply chains by 2025. Currently, just 3% of organizations that are deploying blockchain do so at scale and 10% have a pilot in place, with 87% of respondents reporting to be in the early stages of experimentation with blockchain.
The UK (22%) and France (17%) currently lead the way with at-scale and pilot implementation1 of blockchain in Europe, while the USA (18%) is a front-runner in terms of funding blockchain initiatives. These "pacesetters"2 are optimistic that blockchain will deliver on its potential, with over 60% believing that blockchain is already transforming the way they collaborate with their partners.
The study also found that cost saving (89%), enhanced traceability (81%) and enhanced transparency (79%) are the top three drivers behind current investments in blockchain. Furthermore, blockchain enables information to be delivered securely, faster and more transparently. The technology can be applied to critical supply chain functions, from tracking production to monitoring food-chains and ensuring regulatory compliance. Enthused by the results they are seeing, the pacesetters identified in the study are set to grow their blockchain investment by 30% in the next three years.
Blockchain and Data Science:Enabling Data Integrity for Predictions through ...SunilKrPandey1
Blockchain is slowly transforming the way organizations have been conducting the transactions. This has also penetrated and attracting other verticals including one of the most dominating profiles of the day, data Scientists, to explore the benefits of inclusion of Blockchain in it’s operations. It is expected that there is huge potential of amalgamation of these two important technologies coming together leading to quality predictions through Data Science while maintain high degree of Data Integrity through Blockchain technology. This has potential to revolutionize the finance sector, healthcare, retail, drug discovery etc.
The following five aspects will throw more light on the impeccable combination of these two innovative technologies:
1. Data Security – The ‘Decentralization’ of blockchain makes it difficult for hackers to attack sensitive information as it will require compromising all the nodes, which is virtually impossible. Further, blockchain automatically expels any node that behaves suspiciously, making the system secure.
2. Data Integrity – Blockchain ensures data integrity with its encryption and stringent verification process. Further, it provides much-needed transparency through transaction traceability.
3. Real-time Data Analysis – While blockchain offers real-time transactions, data science provides in-depth data analysis. These two technologies can be combined to deliver real-time data analysis that can revolutionize many industries and streamline business processes.
4. Prediction Making – Data science’s capability can be utilized to analyze blockchain data to derive valuable data insights and hidden trends.
5. Data Sharing – By using a blockchain network to store the data from data studies, project teams can prevent utilizing already used data or avoid repeating data analysis that’s already been conducted earlier. The technology can help send the information securely without the need to duplicate data cleansing.
Final Thoughts
It's true that blockchain data is verified and secured using cryptography. This restricts all unauthorized changes and hacks in the system. It removes the middlemen from the system so no one can make any unauthorized changes.
However, as Epiq Global points out, this doesn't mean blockchain is failproof. If enterprise businesses utilize permissionless platforms (as is the case with Bitcoin,) any endpoints that also have vulnerabilities have the potential to be targeted by malicious threat actors. This raises the question of whether data scientists using these types of public blockchain are able to guarantee confidentiality and if the integrity of any data being ingested can be trusted or not. Further, can the computed results be relied upon?
As with the GDPR & CCPA governance, risk and compliance is still a major hurdle and concern for business.
Blockchain may well be the panacea that Data Scientists have been waiting for – but only time will tell.
MongoDB.local Sydney: The Changing Face of Data Privacy & Ethics, and How Mon...MongoDB
Public concern for the safety of data is growing – not just in how criminals might use stolen data to commit fraud, but also in how personal data is used by the organisations we engage with. This is limiting growth in digital services, and damaging trust in government and enterprises.
The EU's General Data Protection Regulation (GDPR) came into force in May 2018. Now it is influencing new privacy regulations around the world, governing how organisations collect, store, process, retain, and share the personal data of citizens.
In this session, we explore the specific data management requirements demanded by new privacy regulations, digital ethics, and everyone's role in being conscientious stewards of customer data. We discuss how MongoDB can provide the core technology foundations to help you accelerate your path to compliance with new privacy demands.
As the confluence of several mature and emerging technologies, the Internet of Things (IoT) is rapidly developing into a vibrant new marketplace. What are important considerations for technology, media, and telecom (TMT) companies as they compete for opportunities? This presentation covers:
• Questions TMT executives should be asking about impacts of IoT technologies, performance improvement opportunities, and where value can be generated.
• Building an IoT ecosystem where all players benefit – defining different players' roles and relationships, and already-successful tactics.
• Security and privacy challenges, including how data protection responsibility is assigned and monitored, and defining appropriate security and privacy standards.
Explore this quickly developing new opportunity for TMT companies.
Get more IoT insights: http://www.deloitte.com/us/iot_ecosystem
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Similar to BDVe Webinar Series - Ocean Protocol – Why you need to care about how you share data (20)
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Intro - Three pillars for building a Smart Data Ecosystem: Trust, Security an...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
Three pillars for building a Smart Data Ecosystem: Trust, Security and PrivacyBig Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
Market into context - Three pillars for building a Smart Data Ecosystem: Trus...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
BDV Skills Accreditation - Future of digital skills in Europe reskilling and ...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BDV Skills Accreditation - Recognizing Data Science Skills with BDV Data Scie...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
EIT label intro by Rroberto Prieto
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
Muluneh Oli (EIT Digital)
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BDV Skills Accreditation - Definition and ensuring of digital roles and compe...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBig Data Value Association
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days, the projects will showcase the developed and implemented technologies to interested end-users from the industry as well as technology providers, for further adoption.
One of the main goals of the I-BiDaaS project is to provide a Big Data as a self-service solution that will empower the actual employees of European companies in targeted sectors (banking, manufacturing, telecom), i.e., the true decision-makers, with the insights and tools they need in order to make the right decisions in an agile way. In this big data pilot webinar, we will demonstrate in a step by step fashion the I-BiDaaS self-service solution and its application to the banking sector. In more detail, we will present an overview of the I-BiDaaS project focusing on the requirements of the CaixaBank pilot study, the I-BiDaaS architecture with its core technologies, and a step by step demo of the I-BiDaaS solution. Last but not least, we will show through CaixaBank's success story how I-BiDaaS can resolve data availability, data sharing, and breaking silos challenges in the banking domain.
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
Virtual BenchLearning - I-BiDaaS - Industrial-Driven Big Data as a Self-Servi...Big Data Value Association
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Policy Cloud Data Driven Policies against Radicalisation - Participatory poli...Big Data Value Association
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
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.
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
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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 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
BDVe Webinar Series - Ocean Protocol – Why you need to care about how you share data
1. Ocean ProtocolA decentralized data exchange protocol to unlock data for AI
Dr. Irene Lopez de Vallejo – Founding Team Member Ocean Protocol - @ILdeV
2. From the Second Machine
Age to the Convergence
Ecosystem
Megatrends
4. Convergence – the Emerging Web 3.0 Value Chain
Web 2.0 Megatrends
• mobile, social, and cloud
Web 3.0 Megatrends
• next-gen computing, AI, and crypto
New data value chain across all
industries:
• Production (IoT, next-gen computing)
• Distribution (crypto)
• Consumption (AI)
4
6. Data is growing exponentially
1 ZB1
16 ZB2
2010
2016
2025
160+ ZB2
1) Source: Apixel
2) Source: Storagenewsletter
7. 1 ZB1
16 ZB2
2010
2016
2025
160+ ZB2
But only a small amount is analyzed and shared
1) Source: Apixel
2) Source: Storagenewsletter
3) McKinsey
% of data
analyzed3
8. AI is starving for data
▪ AI needs data
▪ Without data, AI models are not
accurate
▪ 150 fundamental use cases
across all industry sectors
identified
▪ AI advances 6x faster, if data is
available
9. AI and Data aren‘t connecting
AI Start-ups & researchers Multinationals & governments
▪ Have algorithms
▪ ...but no data
▪ Have data
▪ ...and want to activate
Disconnection
15. Existing data sharing methods don‘t give data
providers comfort to share data
A market and technology
failure to make data
available
Data providers need to feel
safe before they can
comfortably share data
1
2
3
4
5
6
Control
Security
Transparency
Tracking
Auditing
Pricing
7 Compliance
17. Ocean Protocol mission
• Unlock data—make data ever more accessible to a broader
range of people & organizations.
• Human right to personal data privacy & consent — Privacy must
be a first class citizen!
• Spread of power—transparent governance
• Spread of value—spread wealth creation among the
community (vs a new oligarchy).
• Work with the law
https://blog.oceanprotocol.com/mission-values-for-ocean-protocol-aba998e95b8
18. Ocean Protocol solves data sharing
for all Stakeholders
▪ a decentralized data exchange protocol to unlock
data for AI
▪ uses blockchain technology that allows data to be
shared and transferred in a safe, secure and
transparent manner
▪ enables a decentralized platform and network
connecting providers and consumers of valuable
data, and providing open access for developers to
build services
19. Why blockchain?
Traditional Data Exchange Decentralised Future
Rigid, bespoke solutions Automation by protocol
Difficult to track and audit Immutable record and provenance
Manual audit and verification Cryptographic Proof
Point to point Ecosystem
Complex negotiated agreements Market Pricing + Commons
21. The Ocean Protocol Token (OCN)
is a vehicle for building trust &
is the means of value exchange
and network incentivization
Earn OCN for selling Data
Earn OCN for supporting the network
Earn OCN for publishing public data
▪ Publish data for sale with a variety of
pricing mechanisms
▪ Maintain full control
▪ Comply with regulation
▪ Provide validation and verification services
for the network
▪ Store blockchain history of transactions
▪ Publish, curate and conserve public data
to earn minting rewards
It has super powers!
• Align network socio-economic incentives
(reward work & good behaviour)
• Means to understand and measure the value
of data
• Ecosystem growth = network ownership +
token incentivisation
Data marketplaces earn OCN
▪ Curate and publish data to Ocean Protocol
to find new buyers
22. Asset access rules are controlled by publishers
Open
Qualified
● Any actor may access once
consumption rights are
purchased
Restricted
Private
● Actors may access if they
meet qualifying criteria
● Actors may access only if they
are explicitly trusted by the
publisher
● No actors other than the
publisher may access
Most convenient
Most secure
Access rules Example use case
● Econometric aggregate data
available to all for a fixed price
● Experimental data available
only to certified educational
institutions
● Sales data shared among a
group of collaborating
companies
● Patient level healthcare data
kept private within a hospital
23. Benefits for Data scientists (1)
• Way more data. (a)
More commons
data via network
rewards and (b)
more enterprise
data with less worry
of data escapes via
access to on-
premise compute.
https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f
24. Benefits for Data scientists (2)
• Crypto-secured provenance in data & AI
training
• Ocean Protocol extends the capabilities of
transparency around data sharing process
– Static data sharing (blockchain)
– Dynamic data sharing (smart contract)
– Dynamic programme (AI model)
• Enables complex data provenance
– Static provenance (data heritage, cause and
effect)
– Dynamic provenance (data processing for AI)
https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f
25. Benefits for Data scientists (3)
• More income
opportunities. For
generating data.
For cleaning,
labelling, and
feature engineering
data. For curating
and serving up
data & services
https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f
Ocean Protocol
Data
Consumptio
n Production Curation Privacy Discovery Governanc
e
Delivery
Ocean is a backbone for a new Data Economy
26. Ocean Demo Use Case
Data Sharing Between Research Institutes
and Data Scientists
27. NNI Stores the data on
Server
NNI registers the data as
asset on Ocean
Discoverable data
asset on Ocean
(1)
Data scientist discovers
the data asset
Data science environment
pulls and loads the data
asset
Buy Request
Loaded on
Data Science
environment
Data scientist works on
data (Modelling)
Data scientist analyses on
Zeppelin NB
Data scientist registers the
Notebook on Ocean as asset
Discoverable asset on
Ocean
(2)
User data from
Motion sensors
Example Data Supply Chain
32. Lead Users & Key Partners to Kickstart the Ecosystem
Singapore government
Agencies & Authorities
Example industry partners Technical & Service
partners
▪ Singapore lead government partner
▪ Enables regulatory sandboxes
▪ Close collaboration to provide over-
sight, compliance and indemnify
Industry
Commons
▪ Provide data
▪ Consume data
▪ Act as partners during
development sprints
▪ Expertise in governance, tax, legal
and regulation
▪ Support in IT, Security, token
launches
Tax
Data
Governance
Legal
Computing Security
Cloud
Computing
33. Unique Trusted Data Framework
DEX, PwC Singapore, and the Info-communications Media
Development Authority of Singapore (IMDA) has formed a
collaboration to develop a Trust Framework on Ocean Protocol and
reference marketplace solution that enables safe, trusted, scalable
and effective data exchange. The Trust Framework is to address
each stakeholder’s trust requirements for data sharing and related
transactions and outlines specific solutions to ensure trust in the
entire ecosystem.
34. DRFT
• Inform participants, industry partners, regulators and general public what solutions and mechanisms Ocean
Protocol offers to establish trustworthiness of assets, services, transactions and counterparties
• Describe good practices for trust that marketplaces and service providers should implement
• Provide answers to participant-specific trust concerns
Data sharing requires Trust Framework
Trust and
trustworthiness
Objective of
Trust
Framework
(Open Licence)
• Trust: “Belief that an entity will behave in a predictable manner while performing specific functions, in
specific environments and under specified conditions or circumstances”1
• Trustworthiness: “Attribute of an entity that provides confidence to others of the qualifications, capabilities
and reliability of that entity to perform specific tasks and fulfill assigned responsibilities”1
1 NIST Special Publication 800-39, Managing Information Security Risk
Need for trust
in data sharing
ecosystem
• Trustworthiness in a data sharing ecosystem hinges on objective verification of robustness, transparency,
fairness, security and regulatory compliance of underlying processes
• Foundational trust will be provided by the trustless design of Ocean Protocol network
• Corporate participants will look for additional trust mechanisms and solutions that are not directly codified
into the Ocean Protocol but are implemented in off-chain layers
35. DRAFT
Trust Framework component Example trust concern
Participant identity Who are the counterparties I am dealing with? What is their track record?
Asset and service credibility How do I verify that assets or services conform to expectations, agreements or claims?
Value How do I know that value has been exchanged fairly and securely?
Privacy How can I be sure that personal data is handled in a responsible and compliant manner?
Control How can I restrict and control access to assets or services that I own?
Provenance Who is the original author or creator of an asset or service? What rights do they have?
Security How are my assets and interests protected from harm or unauthorised access?
Trust Framework addresses shared concerns
37. Development Sprints
▪ Industry led regulatory sandboxes that provide an approved legal and regulatory framework for data
sharing by industry and government alike
▪ Replicable programmes consisting of collaboratives, where data publishers, data consumers, solution
developers and technology providers collaboratively work together to solve business challenges in a
safe regulatory environment
▪ Private sector led
38. 7 industry-led sprints within regulatory sandboxes
Mobility
Financial
service
Healthcare Utility
Built-up
Environment
Retail Agri-tech
41. NO COLLABORATION
Healthcare is DESPERATELY
LOOKING FOR access to innovation
Improved
Quality
Personalized
Care
Public
Health
Cost
Improvement
Business Model
Innovation
54. Dive into Ocean!
• raindrop@oceanprotocol.com
• 200 Ocean Tokens
• TODAY 11 December 2018 ONLY!
• Between 13:00 pm – 15:00 pm CET
• For the BDVA community
55. Let’s use blockchain to connect Data and AI
We can build a new
Data Economy that
unlocks data and value...
… and gives power to data
owners