{"id":2846,"date":"2016-03-08T11:44:34","date_gmt":"2016-03-08T10:44:34","guid":{"rendered":"http:\/\/open-organization.com\/?p=2846"},"modified":"2016-03-08T11:44:34","modified_gmt":"2016-03-08T10:44:34","slug":"the-uberization-of-heavy-industry-some-thoughts-on-the-oil-gas-case","status":"publish","type":"post","link":"https:\/\/open-organization.com\/en\/2016\/03\/08\/the-uberization-of-heavy-industry-some-thoughts-on-the-oil-gas-case\/","title":{"rendered":"The Uberization of \u201cHeavy\u201d Industry: Some Thoughts on the Oil &#038; Gas Case"},"content":{"rendered":"<p>[et_pb_section bb_built=&#8221;1&#8243;][et_pb_row][et_pb_column type=&#8221;4_4&#8243;][et_pb_text _builder_version=&#8221;3.12&#8243;]<\/p>\n<p>A couple of weeks ago, I got invited by the Director of Intellectual Property (IP) of a large international corporation in the energy sector to give a conference on innovation and digitalization. While I am fairly well-versed in both topics, this invitation confronts me with two challenges: (1)\u00a0Connecting these themes to the intellectual property function, on which I hardly know anything. (2)\u00a0Drawing the implications of stories we are all starting to become familiar with, such as Netflix, Airbnb, Tesla and Uber, as they apply to B2B industrial players, in a sector characterized by immense capital investments. In the following, \u201cheavy industry\u201d refers to this sector.\u00a0Is the <em>uberization<\/em> of heavy industry conceivable? That is the question that I shall examine. I will interview the Chief Digital Officer of this group, as well as two members of his team. All these people are recent nominations, which means they are hard at work analyzing the situation. What follows is my report on what I learned there.<\/p>\n<p>It is eight twenty-two on a November morning. The Sun rises over Rochefort Castle, where both of these two days dedicated to IP are taking place. Close to 150 IP specialists of the group are gathered here. After listening to the highly interesting talks delivered by several important figures, some of whom coming from other industrial companies, it is my turn to get up on the stage.<\/p>\n<div style=\"border: 0px; padding: 5px; margin: 5px; clear: both; float: right; width: 300px; font-size: 75%;\"><strong>NEST: Energy Barbarian.<\/strong> In 2014, Google acquired Nest Labs, a 200-employee company that makes smart thermostats, for $3.2 billion. Panic ensued among the major players in the energy sector. Yes, Google has deep pockets and it has acquired many companies, but $3.2 billion is a lot of money. Why did Google make this acquisition? It followed the same strategy as digital barbicans do in any sectors: forging a relationship with the consumer by offering a Trojan horse (a free service, a free product, or just something fun). Why smart thermostats? If consumers use Google\u2019s smart thermostats, Google knows when the consumers are at home, how they use energy, what our habits are, and so forth. Armed with all of that new information, Google\u2019s next step is obvious: provide new services to help consumers optimize their energy consumption. They capture the relationship that consumers previously had with energy providers, along with the associated profit margin. The energy providers are being either commoditized or, even worse, disintermediate.<\/div>\n<p>My talk begins with a couple of examples to sharpen the curiosity of my audience. One of these examples is the acquisition of NEST (see insert), the 200 person startup manufacturing connected thermostats, by Google in 2014 for the sum of 3.2 Billion Dollars. This example is highly significant but not well known in all the circles of heavy industry.<\/p>\n<p>I then discuss the three major trends forcing large organizations to rethink innovation, and that we have described in our book <a href=\"http:\/\/www.amazon.fr\/Innovation-Intelligence-Commoditization-Digitalization-Acceleration\/dp\/1326125826\"><em>Innovation Intelligence<\/em><\/a> and in our article <em><a href=\"http:\/\/open-organization.com\/2015\/09\/20\/francais-vers-une-uberisation-de-lintelligence\/\">Towards an Uberization of Intelligence<\/a><\/em> : inflation and fragmentation of knowledge, the acceleration of commoditization, and digitalization. These three trends are causing an acceleration of change that is without precedent, forcing corporations to increase their agility.<\/p>\n<p>The next step is to bring the audience to imagine what the Uber of heavy industry would look like. Such a task is comparatively easy in the case of, say, Vinci, that offers parking spots, and seems to be doing rather well with digitalization. It is is much harder to imagine the <em>uberization<\/em> of Exploration and Production in the Oil &amp; Gas sector.<\/p>\n<p>Exploration-Production is a B2B business that consists in finding, and then exploiting hydrocarbon deposits. It is a high risk, high return business. We\u2019re talking tens of Billions of Euros in investments. It doesn\u2019t seem possible for a startup to invent an app from a garage that will disintermediate this business. And yet\u2026<\/p>\n<p>And yet, some players are already changing the rules of the game.<\/p>\n<p>A first line of thought and inspiration is provided by what is going on in the aeronautics and astronautics industries. In a nutshell, Boeing is the main historical competitor of Airbus. The new competitors are Space X and Google. Space X puts satellites on orbit at a 30% lower cost than the rest of the industry. Google acquired Titan in 2014, and Titan develops and manufactures\u2026 Drones. Tomorrow, as part of its mobility services division, Google could acquire 1000 Airbus planes and bundle a set of services around them. Planes would be demoted to the rank of mere commodities.<\/p>\n<p>The second train of thoughts originates in a project announced by GE in 2014 to be coming online this year, ie in 2016: the Predix platform. Predix is an open platform for applications that can be accessed by any company wishing to develop applications aiming to improve the performance of systems using GE products. What is going on here? The equipment supplier also becomes the supplier of the infrastructure that will enable equipment-based services (predictive maintenance, etc.) Expect shifts in the value chain. This is a good opportunity to draw attention to an excellent book on the topic of platforms: <a href=\"http:\/\/www.amazon.fr\/Platform-Scale-emerging-business-investment-ebook\/dp\/B015FAOKJ6\/\"><em>Platform Scale<\/em><\/a>.<\/p>\n<p>Let\u2019s get back to the Oil &amp; Gas sector.<\/p>\n<p>There are in fact at least three ways to imagine the <em>uberization<\/em> of Oil &amp; Gas.<\/p>\n<ul>\n<li><strong>Through the suppliers:<\/strong> Suppliers such as GE and Forsys Subsea etc. place more and more sensors in their equipments. Such suppliers are generating, and perhaps analyzing more and more data. They will offer new services based on these data and move up in the value chain.<\/li>\n<li><strong>Because of the State:<\/strong> While doing research for this conference, I was surprised to find out the following fact: the geoscience data that are essential to the localization and exploitation of deposits, and that are generated thanks to the massive investments of Oil &amp; Gas players, are property not only of these players, but also of States. In a context where open data becomes the norm, it is conceivable that such data will be made available to third parties.<\/li>\n<li><strong>Through Internet barbarians:<\/strong> as in the above case of aeronautics, there is also a risk coming from big or even perhaps small digital players. IBM, for instance, is currently making its Watson artificial intelligence system to every major company. As is the case with any artificial intelligence system, optimal performance implies a phase of supervised learning. In other words, the engineers and researchers within corporations must contribute part of their know-how to the system to make it relevant. This creates not just a risk of data leakage, but also of know-how leakage. <em>Don\u2019t be evil\u00a0<\/em>[5].<\/li>\n<\/ul>\n<p>In conclusion, I wish to underscore that the above points are merely lines of thought for the Oil &amp; Gas industry. They could also be applied to other sectors. Three points should be kept in mind in order to develop this analysis:<\/p>\n<ul>\n<li><strong>Data is gold:<\/strong> the one who controls data wins the war.<\/li>\n<li><strong>Open is key:<\/strong> it is crucial to think in terms of systems, ecosystems, and platforms (though not necessarily in terms of oil platforms :-))<\/li>\n<li><strong>Fast &amp; Furious is the rule:<\/strong> we must use the methods of the web barbarians to become as agile as them.<\/li>\n<\/ul>\n<p style=\"text-align: center;\">***<br \/>\n*<\/p>\n<p><em><span style=\"text-decoration: underline;\">R\u00e9f\u00e9rences<\/span><\/em><\/p>\n<ol>\n<li><em>A. Meige and J. Schmitt, <a href=\"http:\/\/www.amazon.fr\/Innovation-Intelligence-Commoditization-Digitalization-Acceleration\/dp\/1326125826\">Innovation Intelligence<\/a>, absans publishing, 2015<\/em><\/li>\n<li><em>A. Meige and J. Schmitt, <a href=\"http:\/\/open-organization.com\/2015\/09\/20\/francais-vers-une-uberisation-de-lintelligence\/\">Vers une Uberisation de l&#8217;intelligence<\/a>?, Harvard Bus. Rev. France, 2015<\/em><\/li>\n<li><em>M. Ja., GE cr\u00e9\u00e9 le premier app store industriel, Les Echos, 2015-11-19<\/em><\/li>\n<li><em>S.P. Choudary, <a href=\"http:\/\/www.amazon.fr\/Platform-Scale-emerging-business-investment-ebook\/dp\/B015FAOKJ6\/\">Platform Scale<\/a>: How an emerging business model helps startups build large empires with minimum investment, Platform Thinking Labs, 2015<\/em><\/li>\n<li><em>Google [sic].<\/em><\/li>\n<\/ol>\n<p>[\/et_pb_text][et_pb_cta admin_label=&#8221;CFE Appel d&#8217;action&#8221; _builder_version=&#8221;3.14&#8243; title=&#8221;Calls for Expertise &amp; Innovation Contests&#8221; button_text=&#8221;GET STARTED&#8221; button_url=&#8221;https:\/\/presans.com\/contact\/&#8221; background_image=&#8221;\/wp-content\/uploads\/2018\/06\/cfe-1.jpg&#8221; body_font=&#8221;|800|||||||&#8221; custom_button=&#8221;on&#8221; button_bg_color=&#8221;#ffffff&#8221; button_icon=&#8221;%%40%%&#8221; button_font=&#8221;|800||on|||||&#8221; header_font=&#8221;|700||on|||||&#8221; header_font_size=&#8221;25&#8243; button_text_color=&#8221;#182954&#8243; button_border_color=&#8221;#ffffff&#8221; button_text_size=&#8221;17&#8243; custom_padding=&#8221;|60px||60px&#8221; saved_tabs=&#8221;all&#8221; global_module=&#8221;7257&#8243;]<\/p>\n<p>Inject&nbsp;on-demand expertise into industrial innovation projects to accelerate decision making and overcome technical and scientific obstacles<\/p>\n<p>[\/et_pb_cta][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>","protected":false},"excerpt":{"rendered":"<p><div class=\"et_pb_row et_pb_row_0 et_pb_row_empty\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div> A couple of weeks ago, I got invited by the Director of Intellectual Property (IP) of a large international corporation in the energy sector to give a conference on innovation and digitalization. While I am fairly well-versed in both topics, this invitation confronts me with two challenges: (1)\u00a0Connecting these themes to the intellectual property [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2848,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<p>Il y a quelques semaines, j\u2019\u00e9tais invit\u00e9 par le Directeur de la Propri\u00e9t\u00e9 Intellectuel (PI) d\u2019un grand groupe international dans le domaine de l\u2019\u00e9nergie pour donner une conf\u00e9rence sur l\u2019innovation et la digitalisation. Bien que je connaisse bien le sujet je dois surmonter deux challenges\u00a0: (1)\u00a0raccrocher ces sujets au m\u00e9tier de la propri\u00e9t\u00e9 intellectuelle que je ne connais pour ainsi dire par du tout, et (2)\u00a0raccrocher \u00e9galement les histoires de Netfix, Airbnb, Telsla et Uber que l\u2019on commence \u00e0 tous bien conna\u00eetre aux implications que cela pourrait avoir pour un groupe industriel B2B,\u00a0 dont le secteur est g\u00e9n\u00e9ralement synonyme d\u2019investissement capitalistiques gigantesques \u2013 je parlerai d\u2019industrie lourde dans la suite.\u00a0Peut-on envisager l\u2019<em>uberisation<\/em> de telles industries\u00a0? Je me penche sur la question. Je vais interviewer le Chief Digital Officer du groupe en question, ainsi que deux membres de son \u00e9quipe. Ces personnes ont \u00e9t\u00e9 fraichement nomm\u00e9e. Autant dire que \u00e7a cogite ferme\u00a0! Petit compte rendu.<\/p><p>Il est 8h22, une journ\u00e9e de novembre. Le soleil se l\u00e8ve sur le Ch\u00e2teau de Rochefort. C\u2019est le lieu qui a \u00e9t\u00e9 choisi pour ces deux journ\u00e9es consacr\u00e9es \u00e0 la PI. Pr\u00e8s de 150 sp\u00e9cialistes de PI du groupe sont r\u00e9unies. Apr\u00e8s avoir \u00e9cout\u00e9 les t\u00e9moignages palpitants de plusieurs personnalit\u00e9s, notamment issues d\u2019autres groupes industriels, l\u2019heure est venue pour moi de monter sur sc\u00e8ne.<\/p><div style=\"border: 0px; padding: 5px; margin: 5px; clear: both; float: right; width: 300px; font-size: 75%;\"><strong>NEST: Barbare de l\u2019\u00e9nergie.<\/strong> En 2014, Google fait l\u2019acquisition de Nest Labs, une entreprise de 200 employ\u00e9s qui produit des thermostats intelligents, pour la somme de 3,2 milliards de dollars. La panique saisit alors les grands acteurs du secteur de l\u2019\u00e9nergie. Certes, Google dispose de fonds abondants, et certes, il a d\u00e9j\u00e0 acquis de nombreuses entreprises. Mais 3,2 milliards, cela fait beaucoup d\u2019argent. Pourquoi Google a-t-il effectu\u00e9 cette acquisition? Il a suivi la strat\u00e9gie utilis\u00e9e dans tous les secteurs par les barbares du digital : forger une relation avec le consommateur en lui faisant don d\u2019un cheval de Troie (un service gratuit, un produit gratuit, ou simplement quelque chose de fun). Pourquoi des thermostats intelligents? Si les consommateurs utilisent les thermostats intelligents de Google, Google sait quand les consommateurs sont \u00e0 la maison, comment ils utilisent leur \u00e9nergie, quelles sont nos habitudes, et ainsi de suite. Arm\u00e9 de toutes ces nouvelles informations, la prochaine \u00e9tape de Google est \u00e9vidente : offrir des nouveaux services pour aider les consommateurs \u00e0 optimiser leur consommation d\u2019\u00e9nergie. Ils capturent la relation que les consommateurs poss\u00e9daient ant\u00e9rieurement avec les fournisseurs d\u2019\u00e9nergie, en m\u00eame temps que la marge de profit qui l\u2019accompagne. Les fournisseurs d\u2019\u00e9nergie subissent soit la commoditisation, ou pire encore, la d\u00e9sinterm\u00e9diation.<\/div><p>Je commence par essayer d\u2019aiguiser la curiosit\u00e9 de mon audience avec quelques exemples tels que le rachat de NEST, la startup de 200 personnes qui fabrique des thermostats connect\u00e9s, \u00a0par Google en 2014, pour la somme de 3.2 milliards de dollars \u2013 exemple embl\u00e9matique qui n\u2019est pas encore connu dans toutes les sph\u00e8res.<\/p><p>Je parle ensuite des trois tendances majeures qui forcent les grandes organisations \u00e0 repenser l\u2019innovation\u00a0et que nous avons d\u00e9crites dans notre livre <a href=\"http:\/\/www.amazon.fr\/Innovation-Intelligence-Commoditization-Digitalization-Acceleration\/dp\/1326125826\"><em>Innovation Intelligence<\/em><\/a> [1] et dans notre article <em><a href=\"http:\/\/open-organization.com\/2015\/09\/20\/francais-vers-une-uberisation-de-lintelligence\/\">Vers une Uberisation de l'intelligence<\/a><\/em> [2]: l'inflation et la fragmentation des connaissances, l\u2019acc\u00e9l\u00e9ration de la commoditisation, et la digitalisation. Ces trois tendances entrainent une acc\u00e9l\u00e9ration sans pr\u00e9c\u00e9dent, for\u00e7ant les entreprises \u00e0 devenir de plus en plus agiles.<\/p><p>Apr\u00e8s tout cela, je tente de les faire imaginer ce que pourrait \u00eatre le Uber de l\u2019Oil & Gas. Autant on imagine bien comment pourrait fonctionner l\u2019<em>uberisation<\/em> un groupe comme Vinci qui propose des places de parking \u2013\u00a0et qui semble avoir pris un excellent virage digital\u00a0\u2013, autant, il est beaucoup plus difficile d\u2019imaginer ce que serait l\u2019<em>uberisation<\/em> de l\u2019Exploration-Produtcion dans le domaine de l\u2019oil & gas.<\/p><p>L\u2019Exploration Production est le business B2B qui consiste \u00e0 trouver puis exploiter des gisements d\u2019hydrocarbure. C\u2019est un business \u00e0 risque et \u00e0 rendement \u00e9lev\u00e9s. On parle de dizaines, voire centaines de milliards d\u2019euros d\u2019investissements. Ce n\u2019est pas demain la veille qu\u2019une startup dans un garage va sortir une app qui va nous d\u00e9sinterm\u00e9dier\u00a0! Et pourtant...<\/p><p>Et pourtant certains acteurs commencent \u00e0 faire bouger les lignes.<\/p><p>Le premier axe de r\u00e9flexion peut venir de ce qu\u2019il se passe dans l\u2019industrie a\u00e9ronautique et a\u00e9rospatiale (prochain article!). En bref, le concurrent historique d\u2019Airbus est Boeing. Les nouveaux concurrents sont Space X et Google. Space X met sur orbite des satellites pour 30% moins cher que le reste de l\u2019industrie. Google a rachet\u00e9 Titan en 2014 et Titan d\u00e9veloppe et manufacture\u2026 des drones. Demain, dans le cadre de ses services de mobilit\u00e9, Google pourrait acheter 1000 avions Airbus, et packager un ensemble de services sur la base de ceux-ci. L\u2019objet avion serait alors devenue une simple commodit\u00e9.<\/p><p>Le second axe de r\u00e9flexion vient de General Electrics (GE) qui a annonc\u00e9 en 2014 le lancement de sa plateforme Predix pr\u00e9vu pour 2016 [3]. Predix est une plateforme logicielle ouverte accessible \u00e0 toute entreprise souhaitant d\u00e9velopper des applications pour am\u00e9liorer la performance du syst\u00e8me utilisant des produits GE. Que se passe-t-il ici\u00a0? Le fournisseur d\u2019\u00e9quipement, devient aussi le fournisseur de l\u2019infrastructure qui permettra de construire de nouveaux services s\u2019appuyant sur ces \u00e9quipements (maintenance pr\u00e9dictive etc.). D\u00e9placement dans la cha\u00eene de valeur \u00e0 pr\u00e9voir. Et donc d\u00e9placement de la capture des marges. (d\u2019autres articles sur GE \u00e0 venir). J\u2019en profite au passage pour signaler l\u2019excellent livre <em><a href=\"http:\/\/www.amazon.fr\/Platform-Scale-emerging-business-investment-ebook\/dp\/B015FAOKJ6\">Platform Scale<\/a><\/em> [4] pour tout savoir sur les plateformes.<\/p><p>Mais revenons \u00e0 l\u2019oil & gas.<\/p><p>Il y a en fait au moins trois mani\u00e8res dont nous pourrions imaginer une forme d\u2019<em>uberisation<\/em> de l\u2019Oil & Gas.<\/p><ul><li><strong>Par les fournisseurs\u00a0:<\/strong> ces fournisseurs, justement tels que GE ou bien Forsys Subsea etc. qui mettent de plus en plus de capteurs dans leurs \u00e9quipements. Ces fournisseurs qui g\u00e9n\u00e8rent (et analysent\u00a0?) de plus en plus de donn\u00e9es. Ces fournisseurs qui vont proposer des nouveaux services s\u2019appuyant sur ces donn\u00e9es et se d\u00e9placer dans les cha\u00eenes de valeur.<\/li><li><strong>A cause des Etats\u00a0:<\/strong> fait surprenant que j\u2019ai d\u00e9couvert en pr\u00e9parant cette conf\u00e9rence\u00a0: les donn\u00e9es de g\u00e9oscience, essentielles \u00e0 la localisation et l\u2019exploitation des r\u00e9servoirs et que les acteurs de l\u2019oil & gas g\u00e9n\u00e8rent \u00e0 grand renfort d\u2019investissements appartiennent non seulement \u00e0 ces acteurs, mais aussi aux Etats. Dans un contexte o\u00f9 l\u2019open data fait de plus en plus r\u00e9f\u00e9rence, on peut imaginer que ces donn\u00e9es critiques soient mises \u00e0 disposition de tiers.<\/li><li><strong>Par les barbares du web\u00a0:<\/strong> comme vu plus haut dans le cas de l\u2019a\u00e9ronautique, le risque viendra aussi des grands (ou petits) acteurs du num\u00e9rique. IBM, par exemple, fait la tourn\u00e9e de toutes les grandes maisons pour mettre \u00e0 disposition son syst\u00e8me d\u2019intelligence artificiel Watson. Comme tout syst\u00e8me d\u2019IA qui se respecte, il faut une phase d\u2019apprentissage supervis\u00e9 pour une performance optimale. En d\u2019autres termes, les ing\u00e9nieurs et les\n chercheurs de l\u2019entreprise en question doivent introduire une partie de leur savoir-faire dans le syst\u00e8me pour qu\u2019il devienne pertinent. Non seulement, il y a un risque de diffusion des donn\u00e9es, mais aussi du savoir-faire. Dont\u2019 be evil [5].<\/li><\/ul><p>En guise de conclusion, je dirais que les points ci-dessus ne sont que des axes de r\u00e9flexions pour l\u2019industrie oil & gas, et qu\u2019ils sont sans doute utile \u00e0 d\u2019autres. Pour aller plus loin gardons \u00e0 l\u2019esprit les 3 points suivants\u00a0:<\/p><ul><li><strong>Data is gold\u00a0:<\/strong> celui qui ma\u00eetrise les donn\u00e9es gagne la bataille.<\/li><li><strong>Open is key\u00a0:<\/strong> il faut penser en terme de syst\u00e8me, d\u2019\u00e9cosyst\u00e8me et en terme de plateforme (mais pas n\u00e9cessairement p\u00e9troli\u00e8res J).<\/li><li><strong>Fast & Furious is the rule:<\/strong> il faut utiliser les m\u00e9thodes des barbares du web pour \u00eatre aussi agile qu\u2019eux.<\/li><\/ul><p>\u00a0<\/p><p style=\"text-align: center;\">***<br \/>*<\/p><p><span style=\"text-decoration: underline;\"><em>R\u00e9f\u00e9rences<\/em><\/span><\/p><ol><li><em>A. Meige and J. Schmitt, <a href=\"http:\/\/www.amazon.fr\/Innovation-Intelligence-Commoditization-Digitalization-Acceleration\/dp\/1326125826\">Innovation Intelligence<\/a>, absans publishing, 2015<\/em><\/li><li><em>A. Meige and J. Schmitt, <a href=\"http:\/\/open-organization.com\/2015\/09\/20\/francais-vers-une-uberisation-de-lintelligence\/\">Vers une Uberisation de l'intelligence<\/a>?, Harvard Bus. Rev. France, 2015<\/em><\/li><li><em>M. Ja., GE cr\u00e9\u00e9 le premier app store industriel, Les Echos, 2015-11-19<\/em><\/li><li><em>S.P. Choudary, <a href=\"http:\/\/www.amazon.fr\/Platform-Scale-emerging-business-investment-ebook\/dp\/B015FAOKJ6\">Platform Scale<\/a>: How an emerging business model helps startups build large empires with minimum investment, Platform Thinking Labs, 2015<\/em><\/li><li><em>Sic Google.<\/em><\/li><\/ol>","_et_gb_content_width":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[2],"tags":[464,549,715,782,1203,1289,1658,1680],"_links":{"self":[{"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/posts\/2846"}],"collection":[{"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/comments?post=2846"}],"version-history":[{"count":0,"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/posts\/2846\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/media\/2848"}],"wp:attachment":[{"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/media?parent=2846"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/categories?post=2846"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/open-organization.com\/en\/wp-json\/wp\/v2\/tags?post=2846"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}