Reflections on making EFSA an open science organisationNikos Manouselis
Slides of talk at the Workshop on e-Infrastructures supporting Food Safety Risk Assessment, hosted by the European Food Safety Authority (EFSA), Parma, May 13th, 2015.
Extended version of slides used for talk on "Scaling up (and doing business with) food safety information transparency" at the Food@Cranfield network (http://www.som.cranfield.ac.uk/som/p19207/research/research-clubs/food-cranfield-research-network), on an event dedicated to Using Big Data. Presented the concept of using AGINFRA to facilitate and scale up food safety data. Part of the Big Data Europe (http://www.big-data-europe.eu) liaison & dissemination activities.
BigDataEurope - Big Data & Food and AgricultureBigData_Europe
Big Data and the Food & Agriculture domain (vis-a-vis the respective H2020 Societal Challenge) - Opportunities, Challenges and Requirements. As presented and discussed in the public launch of the BigDataEurope project.
Reflections on making EFSA an open science organisationNikos Manouselis
Slides of talk at the Workshop on e-Infrastructures supporting Food Safety Risk Assessment, hosted by the European Food Safety Authority (EFSA), Parma, May 13th, 2015.
Extended version of slides used for talk on "Scaling up (and doing business with) food safety information transparency" at the Food@Cranfield network (http://www.som.cranfield.ac.uk/som/p19207/research/research-clubs/food-cranfield-research-network), on an event dedicated to Using Big Data. Presented the concept of using AGINFRA to facilitate and scale up food safety data. Part of the Big Data Europe (http://www.big-data-europe.eu) liaison & dissemination activities.
BigDataEurope - Big Data & Food and AgricultureBigData_Europe
Big Data and the Food & Agriculture domain (vis-a-vis the respective H2020 Societal Challenge) - Opportunities, Challenges and Requirements. As presented and discussed in the public launch of the BigDataEurope project.
Presentation delivered during the Introductory Course: "Introduction to agricultural & food safety datasets and semantic technologies" (http://irss.iit.demokritos.gr/2014/hackathon/introductory_course) of the SemaGrow 2nd Hackathon (http://wiki.agroknow.gr/agroknow/index.php/SemaGrow_Hackathon)
4/7/2014, NCSR Demokritos, Athens, Greece
Big Data in Agriculture, the SemaGrow and agINFRA experienceAndreas Drakos
Presentation of the SemaGrow and agINFRA projects during the EDBT/ICDT 2014 Special Track on Big Data Management Challenges and Solutions in the Context of European Projects, 27th of March 2014
http://www.edbticdt2014.gr/index.php/eu-projects-track
CoO + GI2015 ppt_charvat ict for a sustainable agriculture – public support n...IGN Vorstand
15. Sächsisches GI/GIS/GDI Forum und Club of Ossiach Workshops,
Dresden: 15. September 2015
CLUB OF OSSIACH RECOMMENDATION FOR ICT FOR FAMILY FARMING
Karel CHARVAT, Club of Ossiach / CCSS (CZ)
Seeding organic agriculture courses on Moodle: the agriMoodle CaseVassilis Protonotarios
Presentation on agriMoodle delivered at the "Life for Agriculture - Agriculture for Life" international Conference.
6/6/2014, USAMVB, Bucharest, Romania. More info at http://agricultureforlife.usamv.ro/index.php/en/
The goal of the SC2 Pilot is to demonstrate the ability of Big Data technologies to complement existing community-driven systems (e.g. VITIS for the Viticulture Research Community) with efficient large-scale back-end processing workflows.
Agricultural Data Interest Group & Wheat Data Working Group of RDAVassilis Protonotarios
Presentation delivered during the "Engagement in RDA from Southern-Eastern Europe, Mediterranean and Caucasus region" Workshop. 25/6/2015, Athens, Greece
OSFair2017 Workshop | The importance of open data in the Agro-Food sectorOpen Science Fair
Thomas Bartzanas talks about the importance of open data in the agri-food sector | OSFair2017 Workshop
Workshop title: The roadmap to better food: using ICT an open data to overcome barriers in the agriculture value chain
Workshop overview:
The session will discuss infrastructures for open science in the agri-food domain. It will also discuss the issue and the importance of open data for agricultural and agri-food communities and science.
Presentation abstract:
Half of the European Union's land is farmed. This fact alone highlights the importance of farming for the EU's economy, employment, energy use and environment. The globalization of markets has increased the competitiveness whereas the consumers’ needs for healthy, safe and locally produced products highlighting the need for high quality production.
According to Food Agriculture Organization (FAO) in the next 20 years world food production must increase by 50%, while 80% of that increase must come from intensification. However this vital and crucial sector for the European agriculture economy is a sector under pressure due to several challenges (world population, water shortage, climate change, use of pesticides and fertilizers, energy use, food safety).
Agricultural production systems, and the policies and institutions that underpin global food security, are increasingly inadequate. Modern IT and data analysis tools are powerful and can really help meet the challenge of feeding a growing population in more resource-efficient and sustainable ways. Smart farming presents a viable solution to such problems. However, as smart machines, automation systems, robots and sensors crop up on farms and farm data grow in quantity and scope, farming processes will become increasingly data driven and data-enabled.
Currently there are a lot of stakeholders involved in the data collection and management in agriculture (companies, organizations, public authorities, farmers). However the accessible on all these data is still questionable. In this context open data has become and should more widely used within the agricultural data environment. The context under which open data should be used and analyzed in agro-food sector is presented together with some so far success stories.
When: DAY 1 - PARALLEL SESSION 1
CoO + GI2015 ppt_mayer ict for a sustainable agriculture - status and missingIGN Vorstand
15. Sächsisches GI/GIS/GDI Forum und Club of Ossiach Workshops,
Dresden: 15. September 2015
ICT FOR A SUSTAINABLE AGRICULTURE AND FORESTRY STATUS AND MISSING
Walter H. MAYER, CEO PROGIS / Treasurer of CoO
Report on the Outcomes of the 3rd Workshop 'Creating Impact with Open Data in...Marion Girard Cisneros
This document outlines some of the key action points discussed at the workshop held in February 2017. More information about the workshop: http://bit.ly/2lt7Vbf More information about the impact of open data for agriculture and nutrition: http://bit.ly/2lyjJqW
Why are e-Infrastructures useful from a small business perspective?Nikos Manouselis
Slides of talk at seminar for the EuroRIs network (http://www.euroris-net.eu) of National Contact Points (NCPs) for EU funding programmes on Research Infrastructures.
Presentation in the CGIAR Science Week in Montpellier 2016 on how Big Data cna change agricultural research and development, and what the CGIAR needs to do.
Presentation made on the new CGIAR Big Data in agriculture platform, and how big data approaches can contribute to improved productivity through data driven agronomy.
Better ways of using Analytics in Agriculture in indiaYagnesh Shetty
Received the 1st Prize for this Research Paper presentation on Better Ways of using Analytics in Agriculture in India. Undertook Primary and Secondary Research to understand innovations in the agricultural sector that could transform the productivity levels and yeild/hectare for Indian farms. Did a comparative study of the Global scenario and made recommendations for Indian scope.
Presentation delivered during the Introductory Course: "Introduction to agricultural & food safety datasets and semantic technologies" (http://irss.iit.demokritos.gr/2014/hackathon/introductory_course) of the SemaGrow 2nd Hackathon (http://wiki.agroknow.gr/agroknow/index.php/SemaGrow_Hackathon)
4/7/2014, NCSR Demokritos, Athens, Greece
Big Data in Agriculture, the SemaGrow and agINFRA experienceAndreas Drakos
Presentation of the SemaGrow and agINFRA projects during the EDBT/ICDT 2014 Special Track on Big Data Management Challenges and Solutions in the Context of European Projects, 27th of March 2014
http://www.edbticdt2014.gr/index.php/eu-projects-track
CoO + GI2015 ppt_charvat ict for a sustainable agriculture – public support n...IGN Vorstand
15. Sächsisches GI/GIS/GDI Forum und Club of Ossiach Workshops,
Dresden: 15. September 2015
CLUB OF OSSIACH RECOMMENDATION FOR ICT FOR FAMILY FARMING
Karel CHARVAT, Club of Ossiach / CCSS (CZ)
Seeding organic agriculture courses on Moodle: the agriMoodle CaseVassilis Protonotarios
Presentation on agriMoodle delivered at the "Life for Agriculture - Agriculture for Life" international Conference.
6/6/2014, USAMVB, Bucharest, Romania. More info at http://agricultureforlife.usamv.ro/index.php/en/
The goal of the SC2 Pilot is to demonstrate the ability of Big Data technologies to complement existing community-driven systems (e.g. VITIS for the Viticulture Research Community) with efficient large-scale back-end processing workflows.
Agricultural Data Interest Group & Wheat Data Working Group of RDAVassilis Protonotarios
Presentation delivered during the "Engagement in RDA from Southern-Eastern Europe, Mediterranean and Caucasus region" Workshop. 25/6/2015, Athens, Greece
OSFair2017 Workshop | The importance of open data in the Agro-Food sectorOpen Science Fair
Thomas Bartzanas talks about the importance of open data in the agri-food sector | OSFair2017 Workshop
Workshop title: The roadmap to better food: using ICT an open data to overcome barriers in the agriculture value chain
Workshop overview:
The session will discuss infrastructures for open science in the agri-food domain. It will also discuss the issue and the importance of open data for agricultural and agri-food communities and science.
Presentation abstract:
Half of the European Union's land is farmed. This fact alone highlights the importance of farming for the EU's economy, employment, energy use and environment. The globalization of markets has increased the competitiveness whereas the consumers’ needs for healthy, safe and locally produced products highlighting the need for high quality production.
According to Food Agriculture Organization (FAO) in the next 20 years world food production must increase by 50%, while 80% of that increase must come from intensification. However this vital and crucial sector for the European agriculture economy is a sector under pressure due to several challenges (world population, water shortage, climate change, use of pesticides and fertilizers, energy use, food safety).
Agricultural production systems, and the policies and institutions that underpin global food security, are increasingly inadequate. Modern IT and data analysis tools are powerful and can really help meet the challenge of feeding a growing population in more resource-efficient and sustainable ways. Smart farming presents a viable solution to such problems. However, as smart machines, automation systems, robots and sensors crop up on farms and farm data grow in quantity and scope, farming processes will become increasingly data driven and data-enabled.
Currently there are a lot of stakeholders involved in the data collection and management in agriculture (companies, organizations, public authorities, farmers). However the accessible on all these data is still questionable. In this context open data has become and should more widely used within the agricultural data environment. The context under which open data should be used and analyzed in agro-food sector is presented together with some so far success stories.
When: DAY 1 - PARALLEL SESSION 1
CoO + GI2015 ppt_mayer ict for a sustainable agriculture - status and missingIGN Vorstand
15. Sächsisches GI/GIS/GDI Forum und Club of Ossiach Workshops,
Dresden: 15. September 2015
ICT FOR A SUSTAINABLE AGRICULTURE AND FORESTRY STATUS AND MISSING
Walter H. MAYER, CEO PROGIS / Treasurer of CoO
Report on the Outcomes of the 3rd Workshop 'Creating Impact with Open Data in...Marion Girard Cisneros
This document outlines some of the key action points discussed at the workshop held in February 2017. More information about the workshop: http://bit.ly/2lt7Vbf More information about the impact of open data for agriculture and nutrition: http://bit.ly/2lyjJqW
Why are e-Infrastructures useful from a small business perspective?Nikos Manouselis
Slides of talk at seminar for the EuroRIs network (http://www.euroris-net.eu) of National Contact Points (NCPs) for EU funding programmes on Research Infrastructures.
Presentation in the CGIAR Science Week in Montpellier 2016 on how Big Data cna change agricultural research and development, and what the CGIAR needs to do.
Presentation made on the new CGIAR Big Data in agriculture platform, and how big data approaches can contribute to improved productivity through data driven agronomy.
Better ways of using Analytics in Agriculture in indiaYagnesh Shetty
Received the 1st Prize for this Research Paper presentation on Better Ways of using Analytics in Agriculture in India. Undertook Primary and Secondary Research to understand innovations in the agricultural sector that could transform the productivity levels and yeild/hectare for Indian farms. Did a comparative study of the Global scenario and made recommendations for Indian scope.
3D Printing - A 2014 Horizonwatching Trend Summary ReportBill Chamberlin
ABOUT 3D PRINTING: Also called Additive Manufacturing, 3D printing has been hailed as a transformative manufacturing technology, 3D printing involves fabrication of physical objects by depositing a material using a nozzle, print head, or any another printer technology. Though initially used for prototyping of products, 3D printing has evolved and is currently capable of customized short-run manufacturing of industrial products, dental implants, and medical devices.
ABOUT THIS TREND REPORT: This report provide information about the 3D Printing trend along with links to additional resources.
Table of Contents
1.Introduction to 3D Printing
2.Marketplace Opportunities and Industry Applications
3.Materials & Technologies
4.Vendor Ecosystem
5.Drivers, Challenges, Implications, Trends to Watch
6.Summary / Recommendations
7.Appendix: Resources for further reading & understanding
Can a data infrastructure become relevant to small businesses?Nikos Manouselis
Talk given to a stakeholder meeting organised by SemaGrow and agINFRA, focusing on how the agricultural data community and the data infrastructures come closer - giving the business potential and perspective (and especially the startups and SMEs).
Using Big Data Analytics in the Field of Agriculture A Surveyijtsrd
Big data science plays a major role in the current generation deals with the betterment of agriculture field mainly because of the population growth and climate change importance of big data is increased. Big data include the advanced analytical tools. Big data include the advanced analytical chain. Farming is undergoing a digital revolution. Smart farming is depending by the phenomenon of big data. In the field where the cereals and crop seedling growth as well as status and trends of their growth is estimated. Big data is essentially used a global crop growth monitoring system based on remote sensing is dependent on big data science. Big data analytical is a data driven technology useful in generating significant productivity improvement in various industries by collecting, storing, managing, processing, and analysing various kind of structure and unstructured data. The role of big data in agriculture provide an opportunity to increase economic gain of the formers. Gagana H. S | Arpitha H. M | Gouthami H. S "Using Big Data Analytics in the Field of Agriculture: A Survey" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31015.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/31015/using-big-data-analytics-in-the-field-of-agriculture-a-survey/gagana-h-s
Towards a Global Data Ecosystem for Agriculture and FoodNikos Manouselis
Slides of my talk at the University of Guelph (Canada) on September 22nd, 2016. Followed by an agri-food data meetup.
(http://bulletin.ovc.uoguelph.ca/post/150653601025/lecture-and-meetup-on-open-agri-food-data)
Presentation given for the members of the AERIAS, the global club of directors of agricultural economic research institutes. On the question if big data are useful for policy analysis. November 2017 at OECD, Paris
Why the food sector needs a research infrastructure on Food and Health Consum...e-ROSA
Bent Egberg Mikkelsen and Karin Zimmermann's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
Discussion paper: How can we improve agriculture, food and nutrition with ope...godanSec
Presentation by Liz Carolan and Fiona Smith (Open Data Institute) in the Data+Agriculture session at the 3rd International Open Data Conference and the GODAN pre-meet in Ottawa, May 2015.
Presentation for the Delivering from Data panel session at the International Food Policy Research Institute (IFPRI)'s Going the Last Mile: Accelerating Progress in Food Security and Nutrition event
https://www.ifpri.org/event/going-last-mile-accelerating-progress-food-security-and-nutrition
Presentation for the Delivering from Data panel session at the International Food Policy Research Institute (IFPRI)'s Going the Last Mile: Accelerating Progress in Food Security and Nutrition event
https://www.ifpri.org/event/going-last-mile-accelerating-progress-food-security-and-nutrition
Big & heterogeneous data flows in agri-food value chainsNikos Manouselis
Slides of my talk at European Commission's Day on "Digitising agriculture and food value chains", November 17th 2017. Talking about the need to facilitate the flow of data in various value chains. Sharing our experience from a big and heterogeneous data vineyard pilot, as part of the H2020 Big Data Europe project. And describing our plans for extending this pilot to demonstrate big data flows in grapevine-powered value chains, as part of the upcoming H2020 Big Data Grapes project that we coordinate.
Slides from keynote speech at the European Commission's EIP-AGRI workshop on ‘Data Sharing: ensuring a fair sharing of digitisation benefits in agriculture’ (4-5 April 2017 in Bratislava, Slovakia).
Event page (with participants, presentations & other documents): https://ec.europa.eu/eip/agriculture/content/eip-agri-workshop-data-sharing
Catalyzing the creation of a Data Ecosystem for Agriculture & FoodNikos Manouselis
Presentation of the GODAN Data Ecosystem WG (http://www.godan.info/working-groups/data-ecosystem-working-group) at the 2nd Joint workshop of Big Data Europe & e-ROSA initiatives on European Policy Perspectives on Data-intensive Agriculture & Food.
How can we improve food production and safety through an open approach?Nikos Manouselis
Slides of my lightning talk at the ODI Summit 2016 (http://theodi.org/summit/2016). Putting emphasis on the data opportunity that I see in the sector. Including a call to arms for the community to collaborate further, in the context of the GODAN Data Ecosystem WG (https://goo.gl/O3Fk4R).
Facilitating data discovery & sharing among agricultural scientific networksNikos Manouselis
Presentation of AKstem.com at the pre-meeting of the Interest Group on Agricultural Data (IGAD, https://rd-alliance.org/groups/agriculture-data-interest-group-igad.html) of the Research Data Alliance (RDA, https://rd-alliance.org).
Conceptual Design of TAPipedia: pre-final versionNikos Manouselis
Presentation of the pre-final version of the TAPipedia Conceptual Design Report, at the meeting of the TAP Global Task Force Meeting hosted by FAO (July 9-10, 2015). Part of the work related to the G20 initiative TAP (Tropical Agriculture Platform, http://tropagplatform.org).
Slides of the AIMS webinar on the Conceptual Design of TAPipedia, introducing initial version of the Design for public feedback & comments.
http://aims.fao.org/activity/blog/new-webinarsaims%E2%80%9Cdesigning-tapipedia-information-sharing-platform-capacity-development
Towards fair and transparent online business modelsNikos Manouselis
Slides of my talk to the Commons Fest 2015 (http://commonsfest.info) that took place in Athens during May 15-17th. The festival focused on resources that can be viewed as the "commons - public resources that we should all benefit from. I tried to reflect on how we do business using digital commons, especially when using value that other people generate. My talk was inspired by the book of Jarion Lanier "Who owns the future" (http://www.jaronlanier.com/futurewebresources.html)
Introduction to knowledge sharing systems: considerations for the conceptual ...Nikos Manouselis
Presentation on initial recommendations for the TAPipedia information sharing platform of the G20 Tropical Agriculture Platform (http://www.tropagplatform.org).
Agro-Know & the European agricultural research information ecosystemNikos Manouselis
Slides of my talk to members of the Agricultural Information Institute (AII) of the Chinese Academy of Agricultural Sciences (CAAS), on September 19th, 2014.
How can we build an open and scalable learning infrastructure for food safety?Nikos Manouselis
Invited lecture given at the University of Piraeus, focusing on a large scale case study of a learning technologies' application. Focused on the example of the Global Food Safety Partnership (GFSP, http://www.gfsp.org) and presented our view on backing it up with an infrastructure federating and linking different information sources/providers. These ideas have also been presented at this JALN paper: http://sloanconsortium.org/jaln/v17n2/open-and-scalable-learning-infrastructure-food-safety
Presentation on the concept of an open and shared Green Learning Network (GLN) data pool and how it may support search portals and pages that are developed as separate and isolated efforts. Took place at the MSUglobal Open Knowledge for Agricultural development Convening 2013 (http://msuglobal.com/convening2013/)
Presentation at the AgEd Workshop 2012 at University of Gastronomic Sciences, Pollenzo, Bra, Italy
http://wiki.agroknow.gr/agroknow/index.php/AgEdWorkshop_2012
agricultural education collections & repositories: scratching the surfaceNikos Manouselis
Presentation at the AgEd Workshop 2012 at University of Gastronomic Sciences, Pollenzo, Bra, Italy
http://wiki.agroknow.gr/agroknow/index.php/AgEdWorkshop_2012
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
2. We help organizations and
people to address societal and
environmental challenges
using solutions that are
informed and enhanced by
high-quality data
We develop and put in real
practice end-to-end, modular
solutions that transform data
into meaningful knowledge
and services
5. some figures
• Food - Gross Production Value globally in
2011: $2,318,966,621 millions
• Agriculture - Gross Production Value globally
in 2011: $2,405,001,443 millions
• Investment in agriculture - Gross Capital
Stock globally: $5,356,830 millions
… they are big
8. going niche: feta
• (currently, still) protected milk product
• Feta cheese demand: 200,000 tones
– 50% produced in Greece (90% goes to Greek
market)
– a huge unmet demand, a growing potential
• ~300,000 people working in 100,000
production units in Greece only
– ~100,000 people in relevant animal production
– ~50,000 people in relevant agricultural production
11. Open Definition
“Open data is data that can be freely used,
reused and redistributed by anyone -
subject only, at most, to the requirement
to attribute and sharealike”
12. why open data?
• Open data, especially open government data,
is a tremendous resource that is as yet largely
untapped
– individuals and organisations collect broad range
of different types of data to perform their tasks
• Government is particularly significant in this
respect
– quantity and centrality of data it collects
– most is public data by law, could be made open
and made available for others to use
14. open data for businesses
“new businesses and new
business models are beginning
to emerge: Suppliers,
aggregators, developers,
enrichers and enablers”
“key link in the value chain for
open data is the consumer…
direct relevance to the choices
individuals make as part of
their day-to-day lives”
15. in agriculture: a political priority
“How Open Data can be
harnessed to help meet
the challenge of
sustainably feeding nine
billion people by 2050”
16. 16
Key facts about agricultural trends
Agriculture is about to experience a “growth shock” in order to cover
the exponentially increasing food needs of the global population
• All demographic and food demand projections suggest
that, by 2050, the planet will face severe food crises due to
our inability to meet agricultural demand – by 2050:
• 9.3 billion global population, 34% higher than
today
• 70% of the world’s population will be urban,
compared to 49% today
• food production (net of food used for biofuels)
must increase by 70%
• According to these projections, and in order to achieve the
forecasted food levels by 2050, a total investment of USD
83 billion per annum will be required
17. 17
Open Data in Agriculture
One of the most promising routes to agriculture modernisation
is the provision of Open Data to all interested parties
• In an era of Big Data, one of the most promising routes to
bootstrap innivation in agriculture is by the use of Open
Data:
– e.g. provisioning, maintaining, enriching with relevant
metadata, making openly available a vast amount of
• The use and wide dissemination of these data sets is
strongly advocated by a number of global and national
policy makers such as:
– The New Alliance for Food Security and Nutrition G-8
initiative
– Food & Agriculture Organization of the UN
– DEFRA & DFID in UK
– USDA & USAID in the US
26. • publications, theses, reports, other grey literature
• educational material and content, courseware
• primary data, such as measurements & observations
– structured, e.g. datasets as tables
– digitized, e.g. images, videos
• secondary data, such as processed elaborations
– e.g. dendrograms, pie charts, models
• provenance information, incl. authors, their
organizations and projects
• experimental protocols & methods
• social data, tags, ratings, etc.
• …
research(+) content
35. plug and play?
• No!
– requires a deep understanding of the data
– requires excellent data processing & analysis skills
– requires very good technical skills
• will evolve into a data-powered value chain
– the companies that develop innovative agro/ food
products (agro apps consumers) need…
– …companies that build apps on agro data (agro data
consumers, agro apps producers) who need…
– companies that process agro data (data science
powered)
46. Our vision
To add value to the rich
information available in the
wide spectrum of agricultural
and biodiversity sciences
To make it universally
accessible, useful and
meaningful, through
innovative tools, services and
applications
47. Our values
use open data to solve
meaningful societal challenges
create a data-powered
ecosystem that may bootstrap
agricultural & food innovation
embrace all data sources,
formats & types relevant to
agricultural research &
innovation
promote open source and
open data
48. Unorganized Content in
local and remote sites
Widgets
Authoring services
Data Discovery Services
Analytics services
Agro-Know Data Platform
Ingestion Translation Publication
Harvesting BlossomCultivation
Organized and structured
Content in local and remote
DBs
Educational
Bibliographic
Other
Enrichment
Aggregate
data from
diverse
sources
Works with
different type
of data
Prepare data
for
meaningful
services
Educational
Bibliographic
data aggregation & sharing hub
49. in a data-powered value chain...
Open data providers
(research institutions,
public sector etc)
Open data providers
(research institutions,
public sector etc)
Agriculture & food
start ups & industry
Agriculture & food
start ups & industry
Innovative data-
powered start ups
Innovative data-
powered start ups
VCs / angel investors
Incubators
VCs / angel investors
Incubators
Data
aggregators
Data
aggregators
Techies &
friends
Techies &
friends
49
…we are here
… we have a gap here
Data scientistsData scientists
53. its a long way to go
Creative
Hackathon
Creative
Hackathon
Creative
Boot camp
Creative
Boot camp
Ag & Food
Business
Meet Ups
Demo &
Investor Days
Demo &
Investor Days
Introductory
Course
Introductory
Course
53
From data cultivation to data blossom , the Agricultural Data platform is an end-to-end modular solution that can transform data into meaningful services. The agricultural data are harvested from diverse sources and after they enrichment are published through a set of web services to external systems. The enrichment of data includes: improvement of data descriptions annotation of data with ontologies translation of data descriptions The enrichment of the data allows the development of high quality services for specific agricultural communities. Publishing is responsible for the exposure of agricultural data in a form that can be used a) for the development of data discovery services b) authoring services and c) analytics dashboards to track and study how the agricultural data are used.