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.
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.
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.
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.
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
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.
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.
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.
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.
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
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
Agroknow presentation of the current analysis of the legal interoperability in the fishery and marine sciences domain. The presentation was made in the EGI ENGAGE workshop, organised by the FAO Fisheries and Aquaculture Department.
Coraline Damasio presentation on the Wine Making Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019).
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
Presentation delivered during the MEDHackathon 2016 Conference at Patras, Greece (13/7/2016). The presentation provides an overview of open data in agriculture and presents the use case of NEUROPUBLIC as a SME making use of open data for its commercial smart farming services.
agINFRA vision after the end of the projectAndreas Drakos
The agINFRA project (http://www.aginfra.eu) lasted from the October 2011 to February 2015. This presentation shows the vision for after the end of the 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
Prediction algorithms for food data analytics and intelligence: towards a bi...Big Data Grapes
Beyond typical research experimentation scenarios, there is a need for companies that wish to enhance their online data and analytics solutions to incorporate ways in which they can select, experiment, benchmark, parameterize and choose the version of a machine learning algorithm that seems to be most appropriate for their specific application context. BigDataGrapes was present at ISESS 2020 - 13th International Symposium on Environmental Software Systems held in Wageningen, NL. showcasing the capabilities of the project's big data experimentation platform
Livestock data in sub Saharan Africa: Availability and issuesILRI
Presented by Derek Baker (ILRI), Ibrahim Ahmed (AU-IBAR), Ugo Pica-Ciamarra (FAO) to the 12th Inter-Agency Donor Group Meeting, Nairobi, Kenya, 10-13 May 2011
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
Agroknow presentation of the current analysis of the legal interoperability in the fishery and marine sciences domain. The presentation was made in the EGI ENGAGE workshop, organised by the FAO Fisheries and Aquaculture Department.
Coraline Damasio presentation on the Wine Making Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019).
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
Presentation delivered during the MEDHackathon 2016 Conference at Patras, Greece (13/7/2016). The presentation provides an overview of open data in agriculture and presents the use case of NEUROPUBLIC as a SME making use of open data for its commercial smart farming services.
agINFRA vision after the end of the projectAndreas Drakos
The agINFRA project (http://www.aginfra.eu) lasted from the October 2011 to February 2015. This presentation shows the vision for after the end of the 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
Prediction algorithms for food data analytics and intelligence: towards a bi...Big Data Grapes
Beyond typical research experimentation scenarios, there is a need for companies that wish to enhance their online data and analytics solutions to incorporate ways in which they can select, experiment, benchmark, parameterize and choose the version of a machine learning algorithm that seems to be most appropriate for their specific application context. BigDataGrapes was present at ISESS 2020 - 13th International Symposium on Environmental Software Systems held in Wageningen, NL. showcasing the capabilities of the project's big data experimentation platform
Livestock data in sub Saharan Africa: Availability and issuesILRI
Presented by Derek Baker (ILRI), Ibrahim Ahmed (AU-IBAR), Ugo Pica-Ciamarra (FAO) to the 12th Inter-Agency Donor Group Meeting, Nairobi, Kenya, 10-13 May 2011
Natural Capital at Risk: The Top 100 Externalities of BusinessSustainable Brands
This report offers a high level perspective on the world’s biggest natural capital risks for business, investors and governments. To provide a business perspective, it presents natural capital risk in financial terms. In doing so, it finds that the world’s 100 biggest risks are costing the economy around $4.7 trillion per year in terms of the environmental and social costs of lost ecosystem services and pollution. The aim of the report is to provide insight into how companies and their investors can measure and manage natural capital impacts and to inspire further research and debate.
The Increasing Importance of Ecosystem Services by Pavan SukhdevSIANI
On 26 November, while visiting Sweden to accept the Gothenburg Award for Sustainable Development, Sukhdev spoke at a seminar about environmental services co-organized by SEI, the SEI-hosted Swedish International Agricultural Network Initiative (SIANI) and other partners. A seminar with the ‘green economics’ expert hosted by SEI, SIANI and partners focused on the role of ecosystem services in our economy and how to include their value in the financial systems we use.
Case Study Big Data: Socio-Technical Issues of HathiTrust Digital TextsBeth Plale
Invited talk at TRUST Women’s Institute for Summer Enrichment (WISE), Cornell, NY Jun 16, 2014. Infrastructure support for text mining research of big data repository like HathiTrust raises challenges in access and security when the bulk of the repository is protected by copyright.
Traditional agriculture evokes images of soil and dirt, bags of seed and tractors with ploughs? Tradition dies hard in agriculture, yet the winds of change are blowing. Big Data, Mobility and the Internet of Things are whipping up a storm. Here's a view from one IT team in Bangalore that's in the thick of the transformation.
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.
Digital Agriculture – A key enabler for nutritional security and SDGs by Dr D...ICRISAT
Digital Agriculture - ICT and data ecosystems to support the development and delivery of timely, targeted information and services to make farming profitable and sustainable while delivering safe nutritious and affordable food for ALL.
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.
Mining large amounts of existing crop, soil, and climate data, and analyzing new, non-experimental data can help optimize production and make agriculture more resilient to climate change.
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.
DESA News is an insider's look at the United Nations in the area of economic and social development policy. The newsletter is produced by the Communications and Information Management Service of the United Nations Department of Economic and Social Affairs in collaboration with DESA Divisions. DESA News is issued every month.
For more information:
http://www.un.org/en/development/desa/newsletter/desanews/2014/03.html
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
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)
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).
GNU Health presentation at openSUSE conference 2018Luis Falcon
GNU Health is a social project that provides a community-based, Free/Libre Health and Hospital Information System deployed in many countries around the globe. GNU Health combines Social Medicine and Primary healthcare principles with state of the art advances in bioinformatics and precision medicine, delivering a valuable framework for governments and Public Health institutions, as well as for academic and research organizations.
In this presentation we will go through some of the existing and upcoming technologies behind GNU Health and their use in different scenarios. The GNU Health Federation to integrate large, heterogeneous health and research networks; The integration with OpenStreetMaps and the mobile application will be some of the topics.
Finally, we will present the GNU Health embedded project, a joint effort with OpenSUSE, to use GNU Health in single-board devices such as the Raspberry Pi. We will go through the many benefits that this project brings to communities around the world, delivering Freedom and Equity in Healthcare, which is our ultimate goal.
FOODIE project has entered in the last year of its schedule. This seventh issue covers the period from March 2016 to
June 2016 and gives evidence of the more mature technical results and progress in pilot sites. In addition, you are
provided with an overview of the upcoming events and a brief summary of the past events where the FOODIE Team
presented the project. We hope you find the information interesting!
10 June 2021. Catalysing the Sustainable and Inclusive Transformation of Food Systems, From Assessment to Policy and Investment
Since 2020, the EU, FAO and CIRAD have entered into a partnership with governments and stakeholders to initiate a large-scale assessment and consultation on food systems in more than 50 countries.
Similar to Big Data in Food & Agriculture: Community Perspectives (20)
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
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 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
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
8. G8 Open Data Conference
1-mars-15www.big-data-europe.eu
9. early adopters getting ready
Global Open Data for Agriculture and Nutrition
(http://www.godan.info)
“…to support global efforts to make agricultural and
nutritionally relevant data available, accessible, and usable
for unrestricted use brings together all stakeholders to solve
long-standing global problems”
1-mars-15www.big-data-europe.eu
10. policy making example: FADN
Farm Accountancy Data Network (FADN):
evaluating income of agricultural holdings &
the impacts of Common Agricultural Policy
1-mars-15www.big-data-europe.eu
11. PPP example: GFSP
Global Food Safety Partnership
(http://gfsp.org): scale up food
safety capacity building and
ensure that good and safe
practices can reach everyone that
is producing, processing and
selling food around the world
1-mars-15www.big-data-europe.eu
13. an opportunity (?) ahead
1-mars-15www.big-data-europe.eu
…should we be here after 2016?
14. what could we do?
…offer domain-specific Data Management support &
recommendations to data owners? (or to running / upcoming
H2020 projects?)
…facilitate aggregation, interlinking and mapping to foster
innovation and support decision making?
…organise DG-specific workshops on domain-specific big data
opportunities & challenges?
…incubate your domain-specific big data initiative or case
study?
…more?
www.big-data-europe.eu
15. feel free to contact us
Nikos Manouselis, Agro-Know
(nikosm@agroknow.gr)
Valeria Pesce, FAO/GFAR
(Valeria.Pesce@fao.org)
1-mars-15www.big-data-europe.eu