Mintuna 4 na karatu João Mourinho
Kafin ƙungiyarku ta sayi ko da lasisin AI guda ɗaya, ya kamata ta iya amsa wata tambaya mai sauƙi a zahiri: wane tsari ne za a inganta da wannan, kuma shin ya dace a sarrafa shi ta atomatik a yadda yake yanzu?
Gaggawar aiwatar da AI tana ɗaukar nazarin matakai a matsayin jinkiri. Shaidu sun nuna akasin haka: wannan ita ce hanya mafi tasiri wajen rage haɗari, domin tana magance tushen matsalolin da aka rubuta na gazawar AI - zaɓen matsala marar dacewa, raunin bayanai, da ayyukan aiki da ba a haɗa ba - kafin su taru su haifar da watsi da gwajin farko. Kwafa tsoffin hanyoyin aiki ba zai haifar da kusan wata ƙima ba - har ma yana iya rage ta. Shekaru talatin da biyar na bincike, tun daga sake fasalin tsarin kasuwanci [6] zuwa nazarin tattalin arziƙin haɗin gwiwa [7], [8] da kuma rahotannin binciken gazawar AI na wannan zamani [1], [2], duk suna isar da saƙo guda: fasaha tana ƙara ƙarfin ƙungiyar da aka shigar da ita. Inganta ƙungiyar da farko, sannan AI zai ƙara ƙarfin wani abu mai amfani.
Saboda haka, tambayar da ya kamata shugabanni su yi ba ita ce “yaya sauri za mu iya aiwatar da AI?” ba, sai dai “waɗanne matakai ne, idan mun fahimce su kuma mun inganta su, AI zai iya kawo musu sauyi na gaske?” Amsa wannan tambayar a wannan tsari ce ke bambanta kashi 5% da kashi 95%.
Mourinho Solutions na tabbatar da cewa ƙungiyarku tana cikin kashi 5%.
A Mourinho Solutions, wannan tsari ne muke bi. Muna taimaka wa ƙungiyoyi su tsara taswirar matakansu kuma su nazarce su, su inganta su domin samun sakamako mai aunawa, sannan daga baya ne mu tsara da aiwatar da AI a wuraren da yake bayar da sakamako a bayyane. Idan kamfaninku yana shirin fara wani shiri na AI, ku fara da tattaunawa game da matakanku - tuntuɓe mu domin tantance matakai.
[1] J. Ryseff, B. F. De Bruhl, da S. J. Newberry, Tushen Gazawar Ayyukan Hankalin Wucin Gadi da Yadda Za Su Yi Nasara: Guje wa Hanyoyin AI Marasa Inganci. Santa Monica, CA, USA: RAND Corporation, 2024. [Kan layi]. Akwai a: https://www.rand.org/pubs/research_reports/RRA2680-1.html
[2] A. Challapally, C. Pease, R. Raskar, da P. Chari, “Rarrabuwar GenAI: Halin AI a harkokin kasuwanci a 2025,” MIT NANDA, Cambridge, MA, USA, 2025. [Kan layi]. Akwai a: https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf
[3] S&P Global Market Intelligence, binciken “Ra’ayin Ƙungiyoyi: AI da koyon na’ura,” 2025; an bayar da sakamakon a cikin “Yawan gazawar ayyukan AI na ƙaruwa: Rahoto,” CIO Dive, Mar. 2025. [Kan layi]. Akwai a: https://www.ciodive.com/news/AI-project-fail-data-SPGlobal/742590/
[4] Gartner, “Gartner ya yi hasashen cewa za a yi watsi da kashi 30% na ayyukan AI mai ƙirƙira bayan gwajin tabbatar da inganci zuwa ƙarshen 2025,” sanarwar manema labarai, Yul. 29, 2024. [Kan layi]. Akwai a: https://www.gartner.com/en/newsroom/press-releases/2024-07-29-gartner-predicts-30-percent-of-generative-ai-projects-will-be-abandoned-after-proof-of-concept-by-end-of-2025
[5] S. Ransbotham, S. Khodabandeh, R. Fehling, B. LaFountain, da D. Kiron, “Nasara ta hanyar AI,” MIT Sloan Management Review da Boston Consulting Group, Cambridge, MA, USA, Rahoton Bincike, 2019. [Kan layi]. Akwai a: https://sloanreview.mit.edu/projects/winning-with-ai/
[6] M. Hammer, “Sake fasalin aiki: Kada a sarrafa shi ta atomatik, a sauya shi gaba ɗaya,” Harvard Business Review, kundi na 68, lamba ta 4, shafuffuka 104–112, Yul.–Agu. 1990. [Kan layi]. Akwai a: https://hbr.org/1990/07/reengineering-work-dont-automate-obliterate
[7] E. Brynjolfsson da L. M. Hitt, “Fiye da lissafi: Fasahar bayanai, sauyin ƙungiya da ayyukan kasuwanci,” Journal of Economic Perspectives, kundi na 14, lamba ta 4, shafuffuka 23–48, 2000, doi: 10.1257/jep.14.4.23.
[8] E. Brynjolfsson, D. Rock, da C. Syverson, “J-curve na yawan aiki: Yadda kadarorin da ba na zahiri ba ke taimaka wa fasahohin amfani na gaba ɗaya,” American Economic Journal: Macroeconomics, kundi na 13, lamba ta 1, shafuffuka 333–372, Jan. 2021, doi: 10.1257/mac.20180386.
[9] W. M. P. van der Aalst, M. Bichler, da A. Heinzl, “Sarrafa matakai ta hanyar mutum-mutumin kwamfuta,” Business & Information Systems Engineering, kundi na 60, lamba ta 4, shafuffuka 269–272, 2018, doi: 10.1007/s12599-018-0542-4.
[10] R. Syed da sauransu, “Sarrafa matakai ta hanyar mutum-mutumin kwamfuta: Jigogi da ƙalubalen wannan zamani,” Computers in Industry, kundi na 115, labari mai lamba 103162, Feb. 2020, doi: 10.1016/j.compind.2019.103162.
[11] T. Nagle, T. C. Redman, da D. Sammon, “Bayanan kamfanoni kashi 3% kawai ne suka cika ƙa’idojin inganci na asali,” Harvard Business Review, Sat. 11, 2017. [Kan layi]. Akwai a: https://hbr.org/2017/09/only-3-of-companies-data-meets-basic-quality-standards
[12] N. Sambasivan, S. Kapania, H. Highfill, D. Akrong, P. Paritosh, da L. Aroyo, “‘Kowa yana son yin aikin ƙirƙirar samfurin, ba aikin bayanai ba’: Taruwar matsalolin bayanai a AI mai matuƙar muhimmanci,” a cikin Taron 2021 CHI kan Abubuwan da ke Shafar Mutane a Tsarin Kwamfuta (CHI ’21), Yokohama, Japan, 2021, labari mai lamba 39, doi: 10.1145/3411764.3445518.
[13] T. H. Davenport da R. Ronanki, “Hankalin Wucin Gadi ga duniyar gaske,” Harvard Business Review, kundi na 96, lamba ta 1, shafuffuka 108–116, Jan.–Feb. 2018. [Kan layi]. Akwai a: https://hbr.org/2018/01/artificial-intelligence-for-the-real-world
[14] M. Dumas, M. La Rosa, J. Mendling, da H. A. Reijers, Tushen Gudanar da Matakan Kasuwanci, bugu na 2. Berlin, Germany: Springer, 2018, doi: 10.1007/978-3-662-56509-4.
[15] W. M. P. van der Aalst, Haƙo Bayanai daga Matakai: Kimiyyar Bayanai a Aiki, bugu na 2. Berlin, Germany: Springer, 2016, doi: 10.1007/978-3-662-49851-4.
[16] M. C. Lacity da L. P. Willcocks, “Sarrafa matakai ta hanyar mutum-mutumin kwamfuta a Telefónica O2,” MIS Quarterly Executive, kundi na 15, lamba ta 1, shafuffuka 21–35, Mar. 2016. [Kan layi]. Akwai a: https://aisel.aisnet.org/misqe/vol15/iss1/4/
[17] I. M. Enholm, E. Papagiannidis, P. Mikalef, da J. Krogstie, “Hankalin Wucin Gadi da ƙimar kasuwanci: Bitar wallafe-wallafe,” Information Systems Frontiers, kundi na 24, lamba ta 5, shafuffuka 1709–1734, 2022, doi: 10.1007/s10796-021-10186-w.
[18] J. Jöhnk, M. Weißert, da K. Wyrtki, “A shirye ko ba a shirye ba, AI na zuwa — Nazarin hira kan abubuwan da ke nuna shirye-shiryen ƙungiya don AI,” Business & Information Systems Engineering, kundi na 63, lamba ta 1, shafuffuka 5–20, 2021, doi: 10.1007/s12599-020-00676-7.
[19] T. Fountaine, B. McCarthy, da T. Saleh, “Gina ƙungiyar da AI ke ƙarfafawa,” Harvard Business Review, kundi na 97, lamba ta 4, shafuffuka 62–73, Yul.–Agu. 2019. [Kan layi]. Akwai a: https://hbr.org/2019/07/building-the-ai-powered-organization
Duk da hayaniyar da ake yi a yanzu, Hankalin Wucin Gadi bai kawo tasiri ba. Don haka, da alama abin da ake kira sabanin haɓakar aiki na Solow yana shafar jarin da ake zubawa a Hankalin Wucin Gadi.
Yayin da muke tunkarar lokacin Kirsimeti da jajibirin Sabuwar Shekara, lokaci ya yi da za mu waiwayi shekarar da ta kasance mai ƙalubale. Ga ƙwararrun ma’aikatan ƙungiyoyi masu zaman kansu da na agaji, shekara ce mai wuya. Rikice-rikice sun tsananta a duniya, yunwa ta ƙaru, kuma manufofin SDG yanzu suna kama da hangen nesa mai nisa. Amma a ƙarƙashin gizagizai masu duhu, har yanzu akwai hasken bege ga shekarar 2026.
Duk da cewa Hankalin Wucin Gadi ya zama abin magana a ko’ina, gaskiya tana nuna dalilin da ya sa ya dace a yi la’akari da zaɓuɓɓukan kayan aiki da dama wajen magance matsalolin kasuwanci.