FIspace and SmartAgriFood at Dutch network meeting with SMEsSjaak Wolfert
I presented FIspace and SmartAgriFood and the whole context of the Future Internet PPP at a network meeting at the Chamber of Commerce in Amsterdam, co-organized by the Ducht Organisation for Scientific Research (NWO). The meeting was attended by ICT developers, end users from Agri-Food business and researchers. In total about 50 participants
Urban sustainability and food security in africa and china. ottawa conference...Chijioke J. Evoh, Ph.D.
This paper explores urban food security within the context of development cooperation between China and sub-Saharan African countries. Recently, development cooperation between China and African countries has grown in different dimensions. Within Sino-African relations framework, little efforts have been made to share development knowledge on urban food security in the context of rapid urbanization. Chinese and African cities share two commonalties: the increasing trend of urbanization and the continuous existence of subsistent agriculture, particularly in the rural areas. Chinese cities have managed to create a sustainable system of urban food security for their teeming population. This study focuses on urban food planning in key Chinese cities such as Beijing, Shanghai, Guangzhou, and Shenzhen. Food situations in these cities will be compared with what obtains in African cities such as Lagos, Accra and Lilongwe. This study argues for a complementary two-way learning process between African cities and their counterparts in China on urban food policy and citizens-driven urban food planning. Chinese and African cities can share some policy lessons on food policy and governance.
What policy lessons can African cities learn from China on the implementation of effective urban food policy? Descriptive methods are used to critically analyze the urban food situation in these regions. This includes the use of primary data on food security situation in urban areas. Besides, secondary data and a desk review of existing published and grey literature are used. National and regional dynamics of food production, distribution and consumption would be triangulated for a comprehensive assessment.
Keynote IoT in Agriculture opening academic year CIHEAM ZaragozaSjaak Wolfert
Keynote presentation for the opening of the academic year at CIHEAM institute for Mediterranean agricultural research in Zaragoza. It is about how IoT and Big Data are transforming Agriculture in Europe and what the main challenges are: governance, business models and open infrastructures. This is illustrated from several use cases in the Internet of Food and Farm 2020 (IoF2020) project.
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
Entrepreneurs active in the agricultural sector spend more and more of their time registering and publishing all kinds of data, as the government, certification bodies, banks, clients, the retail sector and consumers all want to have more insight into how safe and sustainable their food is.
The majority of this agriculture-related data is still paper-based, spread over different systems and difficult to exchange between the people who want to access it. This is why digitising agricultural business data is an important item on the agenda. With FarmDigital, we can respond to these developments.
FarmDigital is an action research programme which is currently working towards a situation in which data only needs to be entered once and can be shared easily. It aims to achieve this goal by standardising data and developing and implementing an independent, digital platform for people to use.
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014Sjaak Wolfert
Presentation that was held at the World Congress on Computers in Agriculture and Natural Resources, 29 July 2014 San Jose, Costa Rica.
I presented work from all 3 phases of the FI-PPP program and how we started this from projects in The Netherlands.
Smart Farming is a development that emphasizes the use of information and communication technology in the
cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing
are expected to leverage this development and introduce more robots and artificial intelligence in farming.
This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be
captured, analysed and used for decision-making. This review aims to gain insight into the state-of-the-art of
Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. Following
a structured approach, a conceptual framework for analysiswas developed that can also be used for future
studies on this topic. The review shows that the scope of Big Data applications in Smart Farming goes beyond
primary production; it is influencing the entire food supply chain. Big data are being used to provide predictive
insights in farming operations, drive real-time operational decisions, and redesign business processes for
game-changing business models. Several authors therefore suggest that Big Data will cause major shifts in
roles and power relationsamong different players in current food supply chain networks. The landscape of stakeholders
exhibits an interesting gamebetween powerful tech companies, venture capitalists and often small startups
and new entrants. At the same time there are several public institutions that publish open data, under the
condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum
of two extreme scenarios: 1) closed, proprietary systems in which the farmer is part of a highly integrated
food supply chain or 2) open, collaborative systems inwhich the farmer and every other stakeholder in the chain
network is flexible in choosing business partners as well for the technology as for the food production side. The
further development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. From a socio-economic perspective,
the authors propose to give research priority to organizational issues concerning governance issues and suitable
business models for data sharing in different supply chain scenarios.
Explore the significance of transparency and traceability in fostering sustainable supply chains in this insightful PDF. Discover how these essential elements drive accountability, ethical practices, and environmental stewardship, ensuring resilience and trust in modern business operations.
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
Industrial Data Space Association - New Members, New Insights, New Future Dir...Thorsten Huelsmann
Digitalisation is both an enabler and a driving force behind innovative business models. A key ability for innovative business models is to be able to combine data in one “ecosystem”: Services are decoupled from physical platforms/products, The architecture levels are decoupled, Products become platforms and vice versa, “Ecosystems“ develop around platforms, Innovation takes place cooperatively.
Data as strategic resource enables smart services, products and our desired lifestyle of the future.
A Blockchain-Based Framework for Apparel & Footwear Supply Chain TraceabilityCognizant
Distributed ledger technology solutions enable fashion brands and retailers to improve supply-chain visibility across their diverse ecosystems, helping them to communicate product provenance to partners and customers, as well as mitigate environmental and reputational risk.
A blockchain-based-framework-for-apparel-and-footwear-supply-chain-traceabili...Jatin Patel
A white paper which looks at supply chain traceability in the ,
apparel and footwear industry. We ask why ethical sourcing has been so important for consumers, manufacturers and retailers. How Blockchain technology can shine a light to improve and develop increased sustainability, traceability and transparency.
FIspace and SmartAgriFood at Dutch network meeting with SMEsSjaak Wolfert
I presented FIspace and SmartAgriFood and the whole context of the Future Internet PPP at a network meeting at the Chamber of Commerce in Amsterdam, co-organized by the Ducht Organisation for Scientific Research (NWO). The meeting was attended by ICT developers, end users from Agri-Food business and researchers. In total about 50 participants
Urban sustainability and food security in africa and china. ottawa conference...Chijioke J. Evoh, Ph.D.
This paper explores urban food security within the context of development cooperation between China and sub-Saharan African countries. Recently, development cooperation between China and African countries has grown in different dimensions. Within Sino-African relations framework, little efforts have been made to share development knowledge on urban food security in the context of rapid urbanization. Chinese and African cities share two commonalties: the increasing trend of urbanization and the continuous existence of subsistent agriculture, particularly in the rural areas. Chinese cities have managed to create a sustainable system of urban food security for their teeming population. This study focuses on urban food planning in key Chinese cities such as Beijing, Shanghai, Guangzhou, and Shenzhen. Food situations in these cities will be compared with what obtains in African cities such as Lagos, Accra and Lilongwe. This study argues for a complementary two-way learning process between African cities and their counterparts in China on urban food policy and citizens-driven urban food planning. Chinese and African cities can share some policy lessons on food policy and governance.
What policy lessons can African cities learn from China on the implementation of effective urban food policy? Descriptive methods are used to critically analyze the urban food situation in these regions. This includes the use of primary data on food security situation in urban areas. Besides, secondary data and a desk review of existing published and grey literature are used. National and regional dynamics of food production, distribution and consumption would be triangulated for a comprehensive assessment.
Keynote IoT in Agriculture opening academic year CIHEAM ZaragozaSjaak Wolfert
Keynote presentation for the opening of the academic year at CIHEAM institute for Mediterranean agricultural research in Zaragoza. It is about how IoT and Big Data are transforming Agriculture in Europe and what the main challenges are: governance, business models and open infrastructures. This is illustrated from several use cases in the Internet of Food and Farm 2020 (IoF2020) project.
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
Entrepreneurs active in the agricultural sector spend more and more of their time registering and publishing all kinds of data, as the government, certification bodies, banks, clients, the retail sector and consumers all want to have more insight into how safe and sustainable their food is.
The majority of this agriculture-related data is still paper-based, spread over different systems and difficult to exchange between the people who want to access it. This is why digitising agricultural business data is an important item on the agenda. With FarmDigital, we can respond to these developments.
FarmDigital is an action research programme which is currently working towards a situation in which data only needs to be entered once and can be shared easily. It aims to achieve this goal by standardising data and developing and implementing an independent, digital platform for people to use.
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014Sjaak Wolfert
Presentation that was held at the World Congress on Computers in Agriculture and Natural Resources, 29 July 2014 San Jose, Costa Rica.
I presented work from all 3 phases of the FI-PPP program and how we started this from projects in The Netherlands.
Smart Farming is a development that emphasizes the use of information and communication technology in the
cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing
are expected to leverage this development and introduce more robots and artificial intelligence in farming.
This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be
captured, analysed and used for decision-making. This review aims to gain insight into the state-of-the-art of
Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. Following
a structured approach, a conceptual framework for analysiswas developed that can also be used for future
studies on this topic. The review shows that the scope of Big Data applications in Smart Farming goes beyond
primary production; it is influencing the entire food supply chain. Big data are being used to provide predictive
insights in farming operations, drive real-time operational decisions, and redesign business processes for
game-changing business models. Several authors therefore suggest that Big Data will cause major shifts in
roles and power relationsamong different players in current food supply chain networks. The landscape of stakeholders
exhibits an interesting gamebetween powerful tech companies, venture capitalists and often small startups
and new entrants. At the same time there are several public institutions that publish open data, under the
condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum
of two extreme scenarios: 1) closed, proprietary systems in which the farmer is part of a highly integrated
food supply chain or 2) open, collaborative systems inwhich the farmer and every other stakeholder in the chain
network is flexible in choosing business partners as well for the technology as for the food production side. The
further development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. From a socio-economic perspective,
the authors propose to give research priority to organizational issues concerning governance issues and suitable
business models for data sharing in different supply chain scenarios.
Explore the significance of transparency and traceability in fostering sustainable supply chains in this insightful PDF. Discover how these essential elements drive accountability, ethical practices, and environmental stewardship, ensuring resilience and trust in modern business operations.
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
Industrial Data Space Association - New Members, New Insights, New Future Dir...Thorsten Huelsmann
Digitalisation is both an enabler and a driving force behind innovative business models. A key ability for innovative business models is to be able to combine data in one “ecosystem”: Services are decoupled from physical platforms/products, The architecture levels are decoupled, Products become platforms and vice versa, “Ecosystems“ develop around platforms, Innovation takes place cooperatively.
Data as strategic resource enables smart services, products and our desired lifestyle of the future.
A Blockchain-Based Framework for Apparel & Footwear Supply Chain TraceabilityCognizant
Distributed ledger technology solutions enable fashion brands and retailers to improve supply-chain visibility across their diverse ecosystems, helping them to communicate product provenance to partners and customers, as well as mitigate environmental and reputational risk.
A blockchain-based-framework-for-apparel-and-footwear-supply-chain-traceabili...Jatin Patel
A white paper which looks at supply chain traceability in the ,
apparel and footwear industry. We ask why ethical sourcing has been so important for consumers, manufacturers and retailers. How Blockchain technology can shine a light to improve and develop increased sustainability, traceability and transparency.
31075.31076.202030-COMBINED-FULLTERM - SUMMER 2020 - INFOTECH IMPORT IN STRAT PLAN (ITS-831-20) (ITS-831-21) - COMBINED - FULL TERM
Week 4 Research Paper: Blockchain
Srikanth Gundarapu
on Thu, May 28 2020, 3:04 PM
45% highest match
Submission ID: 6497b183-1405-4bb0-bf3b-c9e747142dd4
Attachments (1)
Block chain in supply chain.docx
Running Head: 1 BLOCKCHAIN IN SUPPLY CHAIN 1
BLOCKCHAIN IN SUPPLY CHAIN 4
Blockchain in supply chain Instructor Name – Dr. Paul Czarapata
2 COURSE – ITS 831 - INFORMATION TECHNOLOGY IMPORTANCE IN STRATEGIC PLANNING
Date – 05/28/2020
Blockchain is one of the emerging technologies that have revolutionized the way many industries carry out their operations. The supply chain industry
has become one of the beneficiaries of adopting the blockchain technology. In supply chain management, the blockchain technology which is coupled
with the ability of programming business logic by using smart contracts promotes transparency in the provenance of many consumer goods; it
promotes accurate tracking of assets and the enhanced licensing of products, software services that are important in the supply chain process.
3 THE SUPPLY CHAIN DOES COMPRISE OF COMPLEX NETWORKS OF MANUFACTURERS, SUPPLIERS, DISTRIBUTORS,
CONSUMERS, AND AUDITORS. A blockchain IT infrastructure that is shared would help in the streamlining of the workflows in all the parties
regardless of the size of the business network (Apte, 2016) In addition, an infrastructure that is shared would aid the auditors with greater visibility in
the various activities of participants alongside their value chains.
3 THE BLOCKCHAIN HELPS IN CUTTING COSTS FROM THE WHOLE INFRASTRUCTURE OF THE SUPPLY CHAIN. This is
mainly aided by the use of traceability, traceability, and transparency. 3 TRACEABILITY DOES IMPROVE OPERATIONAL EFFICIENCY
BY VISUALIZING AND MAPPING SUPPLY CHAIN ENTERPRISES. MANY CONSUMERS DEMAND THE SOURCING OF
INFORMATION ON THE PRODUCTS THEY NEED TO PURCHASE. BLOCKCHAIN IS CRUCIAL AS IT HELPS ORGANIZATIONS
TO HAVE AN UNDERSTANDING OF THE CHAIN OF SUPPLY, AND THIS HELPS THEM ENGAGE IN ENGAGING CUSTOMERS
WITH VERIFIABLE, IMMUTABLE, AND REAL DATA.
Transparency does build trust through capturing primary data points, which may include claims and certification, then later provide access to the data
publicly. After registration on the Ethereum blockchain, authenticity can easily be verified with other attesters. 3 INFORMATION CAN THEN
BE VALIDATED AND UPDATED AT THE RIGHT TIME (SABERI, 2019). With transparency, the supply chain companies will also minimize
the wastage of resources.
Trade ability is a blockchain offering that is unique, which helps in the redefinition of marketplace concepts that are conventional. With the help of
Blockchain, one can be able to tokenize a particular asset by splitting objects into various shares which are a representative of ownership digitally
(Kshetri, 2018). 3 IN OTHER WORDS, BLOCKCHAIN TECHNOLOGY HELPS IN EFFICIENT OWN.
31075.31076.202030-COMBINED-FULLTERM - SUMMER 2020 - INFOTECH IMPORT IN STRAT PLAN (ITS-831-20) (ITS-831-21) - COMBINED - FULL TERM
Week 4 Research Paper: Blockchain
Srikanth Gundarapu
on Thu, May 28 2020, 3:04 PM
45% highest match
Submission ID: 6497b183-1405-4bb0-bf3b-c9e747142dd4
Attachments (1)
Block chain in supply chain.docx
Running Head: 1 BLOCKCHAIN IN SUPPLY CHAIN 1
BLOCKCHAIN IN SUPPLY CHAIN 4
Blockchain in supply chain Instructor Name – Dr. Paul Czarapata
2 COURSE – ITS 831 - INFORMATION TECHNOLOGY IMPORTANCE IN STRATEGIC PLANNING
Date – 05/28/2020
Blockchain is one of the emerging technologies that have revolutionized the way many industries carry out their operations. The supply chain industry
has become one of the beneficiaries of adopting the blockchain technology. In supply chain management, the blockchain technology which is coupled
with the ability of programming business logic by using smart contracts promotes transparency in the provenance of many consumer goods; it
promotes accurate tracking of assets and the enhanced licensing of products, software services that are important in the supply chain process.
3 THE SUPPLY CHAIN DOES COMPRISE OF COMPLEX NETWORKS OF MANUFACTURERS, SUPPLIERS, DISTRIBUTORS,
CONSUMERS, AND AUDITORS. A blockchain IT infrastructure that is shared would help in the streamlining of the workflows in all the parties
regardless of the size of the business network (Apte, 2016) In addition, an infrastructure that is shared would aid the auditors with greater visibility in
the various activities of participants alongside their value chains.
3 THE BLOCKCHAIN HELPS IN CUTTING COSTS FROM THE WHOLE INFRASTRUCTURE OF THE SUPPLY CHAIN. This is
mainly aided by the use of traceability, traceability, and transparency. 3 TRACEABILITY DOES IMPROVE OPERATIONAL EFFICIENCY
BY VISUALIZING AND MAPPING SUPPLY CHAIN ENTERPRISES. MANY CONSUMERS DEMAND THE SOURCING OF
INFORMATION ON THE PRODUCTS THEY NEED TO PURCHASE. BLOCKCHAIN IS CRUCIAL AS IT HELPS ORGANIZATIONS
TO HAVE AN UNDERSTANDING OF THE CHAIN OF SUPPLY, AND THIS HELPS THEM ENGAGE IN ENGAGING CUSTOMERS
WITH VERIFIABLE, IMMUTABLE, AND REAL DATA.
Transparency does build trust through capturing primary data points, which may include claims and certification, then later provide access to the data
publicly. After registration on the Ethereum blockchain, authenticity can easily be verified with other attesters. 3 INFORMATION CAN THEN
BE VALIDATED AND UPDATED AT THE RIGHT TIME (SABERI, 2019). With transparency, the supply chain companies will also minimize
the wastage of resources.
Trade ability is a blockchain offering that is unique, which helps in the redefinition of marketplace concepts that are conventional. With the help of
Blockchain, one can be able to tokenize a particular asset by splitting objects into various shares which are a representative of ownership digitally
(Kshetri, 2018). 3 IN OTHER WORDS, BLOCKCHAIN TECHNOLOGY HELPS IN EFFICIENT OWN.
Apache Spark + AI Helps and FDA Protects the Nation with Jonathan Chu and Kun...Databricks
The FDA Office of Regulatory Affairs (ORA) manages the process whereby all products imported into United States are screened by electronic systems and human inspections, https://www.fda.gov/ForIndustry/ImportProgram/.
About 40 million products are monitored annually resulting in 6 billion data records that need to be processed every night. Booz Allen built an Apache Spark system to analyze the FDA ORA data and to predict violations. The solution uses enterprise friendly SQL framework to expand from data aggregation to Machine Learning without heavy coding.
The system enables any enterprise DBA or analyst easily access, filter and transform data to apply the latest machine learning models. These analysts are able to process 6 billion records from various databases and other sources every night without any prior experience with Apache Spark. This helped to scale the Apache Spark solution enable data warehouse/RDBM experts to process powerful analytics workloads without needing to know Scala or Python.
Quality Product Supply Using Block Chain in AgricultureYogeshIJTSRD
With accelerated globalization and excessive opposition with inside the market, food deliver chains have come to be longer and extra complicated than ever before. There are a few not unusual place issues in food deliver chains along with food traceability, food protection and quality, meal and deliver chain inefficiency, which upload extra dangers at the whole society, financial system and the fitness of human. The block chain is a ledger of bills and transactions which can be written and saved with the aid of using all participants. It guarantees a dependable supply of reality approximately the country of farms, inventories and contracts in agriculture, in which the gathering of such data is frequently exceedingly costly. Jerald Astin D | Vignesh Raj R | Ahmed Mudassar Ali "Quality Product Supply Using Block Chain in Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd40016.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/40016/quality-product-supply-using-block-chain-in-agriculture/jerald-astin-d
From Biomass to Energy via Semantic Web and Linked dataMonika Solanki
The talk provides a high level overview of frameworks for the curation and visualisation of Algal biomass knowledge bases. It was presented at http://www.efita2013.org/web/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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?
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Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Consuming Linked data in Supply Chains: Enabling data visibility via Linked Pedigrees
1. COLD/ISWC 2013, 22nd October, Sydney
Consuming Linked data in Supply Chains:
Enabling data visibility via Linked
Pedigrees
http://windermere.aston.ac.uk/~monika/papers/SolankiAndBrewster_COLD2013.pdf
Monika Solanki and Christopher Brewster
Aston Business School
Aston University, Birmingham, UK
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
2. COLD/ISWC 2013, 22nd October, Sydney
Motivation: Visibility in Supply Chains
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
3. COLD/ISWC 2013, 22nd October, Sydney
Motivation
Visibility*
“Visibility is the ability to know exactly where things are at any
point in time, or where they have been, and why”.
Critical to achieving visibility in the end-to-end supply chain
is collaboration between trading partners.
Successful collaboration largely depends on the ease and
timeliness with which real-time process and product
knowledge can be shared between trading partners and
utilised in decision making.
*http://www.gs1.org/docs/GS1_SupplyChainVisibility_
WhitePaper.pdf
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
4. COLD/ISWC 2013, 22nd October, Sydney
Motivation
Existing mechanisms for sharing data and information
along supply chains are highly restricted and extremely
complex.
There is a lack of information models that facilitate the
exchange of end-to-end supply chain product and process
knowledge.
There is a very conservative “need-to-know” attitude such
that essentially information flows only “one-up, one down”.
Information and knowledge need to be interlinked, shared and
made available consistently along the supply chains not least
for regulatory reasons but also due to increasing consumer
demands of being able to track and trace commodities.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
5. COLD/ISWC 2013, 22nd October, Sydney
Motivation
Supply chain domains where data interlinking and sharing
issues are most prevalent: The Agri-food and The
Healthcare sector.
Agri-food supply chains,
Tracking and tracing of foods in the context of health and
safety: prevent and respond to food emergencies (mad cow
disease, and most recently E. Coli).
Growing desire on the part of food consumers to know
more about their food.
Healthcare
Capture and document the chain of custody and the chain
of ownership of a pharmaceutical product as it moves
through the supply chain.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
6. COLD/ISWC 2013, 22nd October, Sydney
Outline
Linked Pedigrees
Reference Architecture
Linked Pedigree Communication Protocol
Exemplifying Linked Pedigrees
Conclusions
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
7. COLD/ISWC 2013, 22nd October, Sydney
Background: Pedigrees
Most widely prevalent in the pharmaceutical industry.
Pedigree(e-pedigree) is an audit trail that records the path
and ownership of a drug as it moves through the supply
chain.
Each stakeholder involved in the manufacture or
distribution of the drug adds information to the pedigree.
The Pedigree standard* provides an XML schema for the
description of the life history of a product.
“Event based Pedigree”: utilises EPCglobal’s EPCIS
specification for capturing events in the supply chain and
generating pedigrees based on a relevant subset of the
captured events.
* http://www.gs1.org/gsmp/kc/epcglobal/pedigree
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
8. COLD/ISWC 2013, 22nd October, Sydney
Linked Pedigrees
Datasets described and accessed using linked data
principles.
Encapsulate the knowledge required to trace and track
products in supply chains on a Web scale.
Facilitate the interlinking of a variety of related and relevant
data, i.e., product master data with event data.
Based on a domain independent data model for the
sharing of knowledge among Semantic Web/Linked data
aware systems deployed for the tracking, tracing and data
capture.
Product knowledge shared among partners as products
physically flow downstream or upstream in the supply
chain.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
9. COLD/ISWC 2013, 22nd October, Sydney
Knowledge Encapsulation in Linked
Pedigrees
Direct linkages in the linked pedigree generated by each supply
chain trading partner
URIs for
product master data: product identifiers, sensor based
product related information, e.g., storage conditions.
transaction data: invoices, order numbers, quantity.
consignment information: logistics, receiver, shipper,
location
Data interpretation rules if any.
URIs for the pedigree datasets from the stakeholders in the
immediate upstream or downstream of the supply chain.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
10. COLD/ISWC 2013, 22nd October, Sydney
OntoPedigree: A CO design pattern
Competency questions:
Who is the creator of the pedigree ?
What is the supply chain creation status of a given
pedigree?
Which are the business transactions recorded against a
particular consignment?
Which products have been shipped together?
Which other pedigrees are included in the received
pedigree?
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
11. COLD/ISWC 2013, 22nd October, Sydney
OntoPedigree: A CO design pattern
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
12. COLD/ISWC 2013, 22nd October, Sydney
Event based Linked Pedigrees
EPC*: Electronic Product Code A universal identifier encoded
on data carriers that gives a unique, serialised identity to a
specific physical object.
EPCIS*: Electronic Product Code Information Services A
ratified(2007) EPCglobal standard for sharing EPC related
information between trading partners in a supply chain.
LinkedEPCIS*: an open source Java API and a reference
implementation for capturing, storing and querying EPCIS
events.
*http://www.gs1.org/sites/default/files/docs/tds/tds_1_7-Std.pdf
*http://www.gs1.org/gsmp/kc/epcglobal/epcis
*http://code.google.com/p/linked-epcis/
*http://windermere.aston.ac.uk/~monika/papers/SolankiDeRiVE2013.pdf
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
13. COLD/ISWC 2013, 22nd October, Sydney
Generating Linked Pedigrees event URIs
Events incorporated in pedigree creation
commissioning: uniquely identifying products
shipping: associating products with orders
receiving: associating received products with orders
Pedigree Component
Product information
Linking relationship
hasProductInfo
Consignment information
hasConsignmentInfo
Transaction information
hasTransactionInfo
m.solanki@aston.ac.uk
Resource identifier
Product data URIs
Serialised product data URIs
Commissioning events Object event/Aggregation event URIs
Shipping events Transaction event URIs
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
14. COLD/ISWC 2013, 22nd October, Sydney
Reference Architecture
An open, scalable and decentralised architecture.
Every actor in the supply chain manages its own datastore.
Linked pedigrees obtained via a pull model.
Shared data models, vocabularies, Web based and mobile
application components are provided as cloud based
services.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
15. COLD/ISWC 2013, 22nd October, Sydney
Reference Architecture
Agri-food supply chain
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
16. COLD/ISWC 2013, 22nd October, Sydney
Reference Architecture: Key Components
Linked Pedigree Manager agent
An integral component of every stakeholder
participating in event based tracking and tracing.
Interfaces between the EPCIS event store and
external systems.
RESTfully queries linked pedigrees from
upstream/downstream stakeholders.
Validates electronic information recorded on
received physical goods against the query results.
Generates the pedigree on the fly from the
knowledge curated in the event data stores of the
stakeholder, assigns it a URI and include outgoing
links to external datasets.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
17. COLD/ISWC 2013, 22nd October, Sydney
Reference Architecture: Key Components
Integrated Linked Pedigree Store
Pedigree definitions include pedigree URIs
from the upstream or downstream
stakeholders.
They can be sequentially traversed, to
eventually construct an ordered chain of
pedigrees.
Access control restrictions mean that it may not be possible for
stakeholders themselves to obtain complete information related
to products and consignments from every other stakeholder.
The integrated linked pedigree store provides a service that can
facilitate the end-to-end dereferencing of linked pedigrees in the
supply chain.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
18. COLD/ISWC 2013, 22nd October, Sydney
Linked Pedigree Communication Protocol
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
19. COLD/ISWC 2013, 22nd October, Sydney
Linked Pedigrees: Agri-food supply chains
The tomato supply chain involves thousands of farmers,
hundreds of traders and few retail groups
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
20. COLD/ISWC 2013, 22nd October, Sydney
Linked Pedigrees: Agri-food supply chains
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
21. COLD/ISWC 2013, 22nd October, Sydney
Agri-food supply chains
Pedigree sent from Farmer to Trader
### http://fispace.aston.ac.uk/franzfarmer/pedigrees/
FranzTomatoFarmerPedigree123
fsc:FranzTomatoFarmerPedigree123 rdf:type ped:Pedigree;
ped:hasSerialNumber "tomPed123"^^xsd:String;
ped:hasStatus ped:Initial;
ped:hasConsignmentInfo fci:FranzFarmerObjectEvent10,
fci:FranzFarmerAggregationEvent6;
ped:hasTransactionInfo fti:FranzFarmerShippingEvent12;
ped:hasProductInfo ftp:FranzTomatoesMay2013Data.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
22. COLD/ISWC 2013, 22nd October, Sydney
Agri-food supply chains
Pedigree sent from Trader to Distributor
### http://fispace.aston.ac.uk/joetrader/
pedigrees/JoeTomatoTraderPedigree456
jsc:JoeTomatoTraderPedigree456 rdf:type ped:Pedigree
ped:hasSerialNumber "joeTradePed456"^^xsd:String;
ped:hasStatus ped:Intermediate;
ped:hasConsignmentInfo jci:JoeTraderObjectEvent20,
jci:JoeTraderObjectEvent30;
ped:hasTransactionInfo jti:JoeTraderTransactionEvent40;
ped:hasProductInfo jpi:JoeTradesMay2013Info.
ped:hasReceivedPedigree fsc:FranzTomatoFarmerPedigree123,
bsc:BobTomatoFarmerPedigree123.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
23. COLD/ISWC 2013, 22nd October, Sydney
Conclusions
Data visibility (tracking and tracing) in supply chains has
received considerable attention in recent years.
Semantic Web standards, ontologies and linked data can
be utilised to curate and represent real time supply chain
knowledge via “linked pedigrees”.
“OntoPedigree” a CO design pattern provides a
minimalistic abstraction for designing domain specific
pedigree ontologies.
The reference architecture and the linked pedigree
communication protocol exemplify pedigree exchange
between supply chain partners.
The proposed approach is domain independent and can
be widely applied to most scenarios of traceability.
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees
24. COLD/ISWC 2013, 22nd October, Sydney
Future?
m.solanki@aston.ac.uk
Consuming Linked data in Supply Chains Enabling data visibility via Linked Pedigrees