Is an agro-biodiversity data-powered tech start up going to profitable?


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Lecture for intro course on doing business with open agro-biodiversity data. Part of Green City Hackathon 2013 activities.

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  • 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.
  • Is an agro-biodiversity data-powered tech start up going to profitable?

    1. 1. Nikos Manouselis Agro-Know Technologies why is an agro-biodiversity data- powered tech start up going to profitable?
    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. why agriculture?
    4. 4. a huge market, globally Food & Agricultural commodities production,
    5. 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
    6. 6. examples of EU production in 2010 Source: Eurostat
    7. 7. how many businesses?
    8. 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
    9. 9. ~100,000 clients? ~450,000 users? in one country?
    10. 10. why open data?
    11. 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. 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
    13. 13. closed data • examples …always bad?
    14. 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. 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. 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. 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
    18. 18. what is this data about?
    19. 19. agricultural science
    20. 20. biodiversity
    21. 21. examples of variety & diversity
    22. 22. data sets
    23. 23. maps
    24. 24. photos
    25. 25. databases
    26. 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
    27. 27. where can I find this data?
    28. 28. 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)
    29. 29. where to use this data?
    30. 30. there is more…
    31. 31. …and more…
    32. 32. …and much much more
    33. 33. why do we (Agro-Know) care?
    34. 34. 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
    35. 35. 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
    36. 36. 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
    37. 37. 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
    38. 38. not only hackers
    39. 39. but convincing business cases
    40. 40. 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
    41. 41. take away point
    42. 42. “The future belongs to the companies that turn data into products”
    43. 43. thank you!