Can a data infrastructure become relevant to small businesses?

1,211 views

Published on

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).

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,211
On SlideShare
0
From Embeds
0
Number of Embeds
742
Actions
Shares
0
Downloads
11
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • 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.
  • Can a data infrastructure become relevant to small businesses?

    1. 1. Can a data infrastructure become relevant to small businesses? Nikos Manouselis Agro-Know Technologies nikosm@agroknow.gr
    2. 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
    3. 3. 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
    4. 4. 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
    5. 5. why agriculture?
    6. 6. a huge market, globally Food & Agricultural commodities production, http://faostat.fao.org
    7. 7. 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. 8. e.g. how many B2B customers?
    9. 9. why (open) data?
    10. 10. One of the most promising routes to agriculture modernisation seems to be the provision of Open Data to all interested parties • In an era of Big Data, one of the most promising routes to bootstrap innovation 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 agricultural policy makers such as: – New Alliance for Food Security and Nutrition G-8 – Food & Agriculture Organization of the UN – DEFRA & DFID in UK – USDA & USAID in the US
    11. 11. 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”
    12. 12. is data 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)
    13. 13. an ecosystem that could look like this Tech/IT Tech/IT industry & industry & start ups start ups Data science Data science community community Agricultural data scientists Agricultural data aggregators Agricultural software app/tool/service companies Agro/food industry Agro/food industry Agro data providers Agro data providers (FAO, CAAS, DEFRA, (FAO, CAAS, DEFRA, DFID, etc) DFID, etc) Agro/food research & Agro/food research & academia academia 13
    14. 14. what about the infrastructure?
    15. 15. typical infrastructure assumptions A legion of software apps/tools/services that researchers use called Integrated Services (or whatever) Grid & cloud infrastructure some magic software called Scientific Gateway (or whatever) Data Repositories All the researchers of the world waiting eagerly to use our enchanted software apps/tools/services
    16. 16. typical infrastructure assumptions A legion of software apps/tools/services that researchers use called Integrated Services (or whatever) Grid & cloud infrastructure some magic software called Scientific Gateway (or whatever) Data Repositories All the researchers of the world waiting eagerly to use our enchanted software apps/tools/services
    17. 17. from a business perspective A legion of software apps/tools/services that researchers use called Integrated Services (or whatever) Grid & cloud infrastructure An API backbone exposing data processing & management software Data Repositories All the researchers of the world waiting eagerly to use our enchanted software apps/tools/services
    18. 18. what we still know nothing of A legion of software apps/tools/services that researchers use called Integrated Services (or whatever) Grid & cloud infrastructure An API backbone exposing data processing & management software Data Repositories All the researchers of the world waiting eagerly to use our enchanted software apps/tools/services
    19. 19. “Integrated Services”: who builds them? A legion of software apps/tools/services that researchers use called Integrated Services (or whatever)
    20. 20. maybe they can reach out to the researchers Agricultural data scientists Agricultural data aggregators Agricultural software app/tool/service companies All the researchers of the world waiting eagerly to use our enchanted software apps/tools/services
    21. 21. is there a market beyond research & education?
    22. 22. there is more…
    23. 23. …and more…
    24. 24. …and much much more
    25. 25. why do we (Agro-Know) care?
    26. 26. data aggregation & sharing hub Cultivation Harvesting Ingestion Enrichment Translation Blossom Publication Educational Bibliographic Data Discovery Services Unorganized Content in local and remote sites Agro-Know Data Platform Widgets Educational Bibliographic Other Aggregate data from diverse sources Works with different type of data Prepare data for meaningful services Authoring services Organized and structured Content in local and remote DBs Analytics services
    27. 27. in a data-powered value chain like this... … we have a gap here Tech/IT Tech/IT industry & industry & start ups start ups Data science Data science community community Agricultural data scientists …we are here Agricultural data aggregators Agricultural software app/tool/service companies Agro/food industry Agro/food industry Agro data providers Agro data providers (FAO, CAAS, DEFRA, (FAO, CAAS, DEFRA, DFID, etc) DFID, etc) Agro/food research & Agro/food research & academia academia 31
    28. 28. not only “hacks”
    29. 29. but sustainable data products
    30. 30. its a long way to go Introductory Introductory Courses Courses Open Agro Data Open Agro Data Hackathons Hackathons Acceleration Acceleration Boot camps Boot camps Ag & Food Business Meet Ups Demo & Demo & Investor Days Investor Days 34
    31. 31. take away point
    32. 32. “The future belongs to the companies that turn data into products”
    33. 33. thank you! nikosm@agroknow.gr http://www.agroknow.gr

    ×