Is an agro-biodiversity data-powered tech start up going to profitable?
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Transcript of Is an agro-biodiversity data-powered tech start up going to profitable?
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Nikos Manouselis Agro-Know Technologies
why is an agro-biodiversity data-powered tech start up going to
profitable?
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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
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why agriculture?
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a huge market, globally
Food & Agricultural commodities production, http://faostat.fao.org
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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
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examples of EU production in 2010
Source: Eurostat
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how many businesses?
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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
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~100,000 clients?~450,000 users?in one country?
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why open data?
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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”
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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
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closed data
• examples
…always bad?
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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”
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in agriculture: a political priority“How Open Data can be harnessed to help meet the challenge of sustainably feeding nine billion people by 2050”
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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
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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
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what is this data about?
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agricultural science
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biodiversity
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examples of variety & diversity
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data sets
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maps
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photos
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databases
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• 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
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where can I find this data?
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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)
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where to use this data?
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there is more…
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…and more…
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…and much much more
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why do we (Agro-Know) care?
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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
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Our values
use open data to solve meaningful societal challengescreate a data-powered ecosystem that may bootstrap agricultural & food innovationembrace all data sources, formats & types relevant to agricultural research & innovationpromote open source and open data
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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
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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 & industryAgriculture & food
start ups & industry
Innovative data-powered start upsInnovative data-
powered start upsVCs / angel investors
IncubatorsVCs / angel investors
Incubators
Data aggregators
Data aggregators
Techies & friends
Techies & friends
49
…we are here
… we have a gap here
Data scientistsData scientists
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not only hackers
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but convincing business cases
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its a long way to go
Creative Hackathon
Creative Hackathon
CreativeBoot camp
CreativeBoot camp
Ag & Food Business
Meet Ups
Demo & Investor Days
Demo & Investor Days
Introductory Course
Introductory Course
53
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take away point
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“The future belongs to the companies
that turn data into products”