Purpose - Digitalisation and AI are the most intensively discussed topics in the real estate industry. The subject aims at increasing the efficiency of existing processes and the institutional side of the industry is really interested. And in some ways, this is a breakthrough. This article elaborates on the current status quo and future path of the industry. Design/methodology/approach- The real estate industry is evolving, and parts of the business are increasingly being conquered by "proptechs" and "fintechs". They have come into real estate to stay not because they discovered inefficiencies in the way one manages and does business with real estate, but because they come with an arsenal of new technologies that can change the whole game. The article discusses a path for changing the game in real estate. Findings - "location, location, location" has now evolved to "data, data, data". However, there is one essential aspect that must be considered before the latter can become the real value creator: the ability of market players to analyse data. And this does not mean being an excellent Excel user. The near future sees a solution called Explainable Artificial Intelligence (XAI) meaning that the econometric world constructed decades ago has an expiry date. Originality/value- One needs to delete two myths from their mind: data quantity is proportional to accurate insights and that bringing your data to a cloud will deliver you with all the insights your business needs almost immediately.
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Univ Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, MexicoUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Espinoza-Sandoval, Oscar R.
Angeles-Hernandez, Juan Carlos
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Univ Autonoma Estado Hidalgo, Inst deCiencias Agr, Tulancingo 43600, MexicoUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Angeles-Hernandez, Juan Carlos
Gonzalez-Ronquillo, Manuel
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Univ Autonoma Estado Mexico, Fac Med Vet & Zootecnia, Dept Nutr Anim, Toluca 50295, MexicoUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Gonzalez-Ronquillo, Manuel
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Ghavipanje, Navid
Zhang, Naifeng
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Chinese Acad Agr Sci, Key Lab Feed Biotechnol, Inst Feed Res, Minist Agr & Rural Affairs, Beijing 100081, Peoples R ChinaUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Zhang, Naifeng
Bayat, A. R.
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Nat Resources Inst Finland Luke, Anim Nutr, ProductionSystems, Jokioinen 31600, FinlandUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Bayat, A. R.
Hervas, Gonzalo
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Inst Ganaderia Montana CSIC ULE, Grulleros 24346, SpainUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Hervas, Gonzalo
Kholif, Ahmed E.
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Natl Res Ctr, Dairy Sci Dept, Giza 12622, EgyptUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Kholif, Ahmed E.
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Mele, Marcello
Loor, Juan J.
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Univ Illinois, Dept Anim Sci, Mammalian NutriPhysioGen, Urbana, IL 61801 USA
Univ Illinois, Div Nutr Sci, Urbana, IL 61801 USAUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Loor, Juan J.
Stergiadis, Sokratis
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Univ Reading, Sch Agr, Dept Anim Sci, POB 237, Reading, EnglandUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Stergiadis, Sokratis
Vargas-Bello-Perez, Einar
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Univ Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico
Univ Reading, Sch Agr, Dept Anim Sci, POB 237, Reading, EnglandUniv Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua 31453, Mexico