Jagorar Aikace-aikace

AI a cikin Scouting da daukar ma'aikata

AI a cikin binciken ɗan wasa yana amfani da bayanai da nazarin bidiyo don gano hazaka, hasashen yanayin aiki, da nemo ƴan wasa marasa kima.

Dubawa

AI a cikin binciken ɗan wasa yana amfani da bayanai da nazarin bidiyo don gano hazaka, hasashen yanayin aiki, da nemo ƴan wasa marasa kima. Yana sake fasalin yadda ƙungiyoyin ƙwallon ƙafa, ƙwallon kwando, da sauran wasanni ke yanke shawarar wanda za su sa hannu da nawa za su biya.

AI a cikin Scouting na Playeran wasa da daukar ma'aikata yana mai da hankali kan aiwatar da aiki mai amfani: jujjuya ƙarfin ƙira zuwa ingantaccen ayyukan aiki na yau da kullun waɗanda ke ba da ƙima mai ƙima.

Zurfafa nutsewa

Dan leƙen asiri na al'ada ya dogara da idon ɗan leƙen asiri da jin hanji, yana kallon kaɗan na ashana. AI yana canza ma'auni: tsarin yanzu yana shigar da bayanan abubuwan da suka faru (kowane wucewa, magancewa, da harbi), bin diddigin GPS, da bin diddigin hangen nesa na kwamfuta na duk 'yan wasa 22 akan filin wasa. Kamfanoni kamar SkillCorner da Stats Suna aiwatar da daidaitawar mai kunnawa daga bidiyon watsa shirye-shirye, yayin da dandamali ke ƙira dubunnan masu yiwuwa lokaci guda. Shahararriyar hanyar 'Moneyball' ta Oakland A's a cikin wasan ƙwallon kwando shine farkon sigar ƙididdiga; AI na zamani yana faɗaɗa shi tare da koyon injin da ke hasashen ƙimar nan gaba, haɗarin rauni, da dacewa mai salo. Kungiyoyi irin su Liverpool FC sun gina sassan kimiyyar bayanai wanda masana kimiyya ke jagoranta. Manufar ita ce gano duwatsu masu daraja a cikin ƙananan ƙafa kafin abokan hamayya da kulake masu arziki suyi.

Fahimtar Fasaha

Hanyoyi masu mahimmanci sun haɗa da samfura masu haɓaka gradient da tarun jijiyoyi waɗanda aka horar da su akan aikin tarihi don hasashen ma'auni kamar gudummawar da ake sa ran (xG) ko ƙimar kasuwa ta gaba. Hange na kwamfuta (ƙididdigar matsayi, bin diddigin abubuwa da yawa) yana juyar da ɗanyen bidiyo zuwa ingantaccen bayanan matsayi a firam 25 a sakan daya. Algorithm ɗin kamanceceniya sannan ya haɗa ƴan wasa a matsayin vectors ta yadda kulob zai iya nemo 'ɗan wasa X mai rahusa' ta hanyar nemo maƙwabta mafi kusa a sararin fasalin salo.

Jagorar AI a cikin Scouting Player da daukar ma'aikata

AI a cikin binciken ɗan wasa yana amfani da bayanai da nazarin bidiyo don gano hazaka, hasashen yanayin aiki, da nemo ƴan wasa marasa kima. Yana sake fasalin yadda ƙungiyoyin ƙwallon ƙafa, ƙwallon kwando, da sauran wasanni ke yanke shawarar wanda za su sa hannu da nawa za su biya. AI a cikin Scouting na Playeran wasa da daukar ma'aikata yana mai da hankali kan aiwatar da aiki mai amfani: jujjuya ƙarfin ƙira zuwa ingantaccen ayyukan aiki na yau da kullun waɗanda ke ba da ƙima mai ƙima. Don gina zurfin fahimta, bi AI a cikin Scouting Player da daukar ma'aikata azaman samfurin aiki, ba sifa ɗaya ba: ayyana sakamakon da ake so, fayyace zato, da raba abin da tsarin zai iya dogara da abin da har yanzu yana buƙatar yanke hukunci na ƙwararru.

A aikace, ƙungiyoyi masu ƙarfi da ke amfani da AI a cikin Scouting Player da daukar ma'aikata suna mai da hankali kan sakamakon gudanawar aiki, ba ƙirar ƙirar ƙira ba, da ayyana wuraren binciken ɗan adam da wuri. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.

Tsarin matakin aikace-aikacen yana ƙayyade ko AI yana inganta sakamako na gaske. A lokaci guda, sarrafa tsarin da ya karye zai iya haɓaka matsalolin da ke akwai. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.

Dabarun Tasiri

Tsarin matakin aikace-aikacen yana ƙayyade ko AI yana inganta sakamako na gaske.

Tsarin matakin aikace-aikacen yana ƙayyade ko AI yana inganta sakamako na gaske. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Kyakkyawan haɗin gwiwar aiki yana haifar da ribar yawan aiki masu amfani za su iya amincewa.

Kyakkyawan haɗin gwiwar aiki yana haifar da ribar yawan aiki masu amfani za su iya amincewa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Abubuwan da aka yi amfani da su da kyau suna rage gajiyar canji da haɗarin aiwatarwa.

Abubuwan da aka yi amfani da su da kyau suna rage gajiyar canji da haɗarin aiwatarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Makomar AI a cikin Scouting da daukar ma'aikata

Yi tsammanin ingantattun samfuran multimodal waɗanda ke haɗa bayanan bin diddigin, biomechanics, har ma da siginar tunani da kafofin watsa labarun don tantance tunani da dorewa. Bayanan firikwensin da za a iya sawa za su ciyar da bincike na lokaci-lokaci a makarantun kimiyya, suna nuna gwanintar matasa a baya. Ƙimar ƙirar ƙila ta iya ƙyale ƙungiyoyi su gwada yadda mai daukar ma'aikata zai yi aiki a cikin takamaiman tsarin dabarun su kafin sanya hannu, yayin da masu kula da 'yan wasa da ƙungiyoyin 'yan wasa ke matsawa kan keɓance sirri da ɗabi'ar bayyana matasa.

Aiwatar da Gaskiyar Duniya

Sashen bayanan Liverpool FC suna amfani da samfuran matsayi don ba da shawarar sa hannu kamar Mohamed Salah da canja wurin ƙima

SkillCorner da Stats Suna aiwatar da zazzage bayanan ɗan wasa daga faifan watsa shirye-shirye zuwa ƙwararrun ƴan wasa a gasar ba tare da ɗaukar hoto ba.

Ƙungiyoyin NBA suna amfani da bayanan ɗan wasa (tsohon SportVU) don kimanta tasirin kariya wanda maki akwatin ya ɓace.

Ƙungiyoyin ƙwallon ƙwallon ƙafa suna amfani da saurin fita na Statcast da bayanan ƙima don tsarawa da ƙimar tulu da masu bugun sama fiye da kididdigar gargajiya.

Hanyoyin Aiwatarwa

AI a cikin Scouting Player da daukar ma'aikata a aikace

Sashen bayanan Liverpool FC suna amfani da samfuran matsayi don ba da shawarar sa hannu kamar Mohamed Salah da canja wurin ƙima.

Sashen bayanan Liverpool FC ta amfani da samfuran matsayi don ba da shawarar sanya hannu kamar Mohamed Salah da ƙimar canja wuri Ƙungiyoyi yawanci suna samun sakamako mafi kyau idan suka ayyana matakan inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin duk nasarorin samarwa da tsadar kurakurai a kan lokaci.

AI a cikin Scouting Player da daukar ma'aikata a aikace

SkillCorner da Stats Suna aiwatar da zazzage bayanan ɗan wasa daga faifan watsa shirye-shirye zuwa ƙwararrun ƴan wasa a gasar ba tare da ɗaukar hoto ba.

SkillCorner da Stats Yi fitar da bayanan ɗan wasa daga faifan watsa shirye-shirye zuwa ƙwararrun ƴan wasa a gasar ba tare da ɗaukar firikwensin firikwensin Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da tsadar kurakurai a kan lokaci.

AI a cikin Scouting Player da daukar ma'aikata a aikace

Ƙungiyoyin NBA suna amfani da bayanan bin diddigi (tsohon SportVU) don kimanta tasirin tsaro wanda akwatin ya ɓace.

Ƙungiyoyin NBA da ke amfani da bayanan mai kunnawa (tsohon SportVU) don kimanta tasirin kariya wanda maki akwatin ke ɓacewa Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da kuma bin diddigin nasarorin yawan aiki da ƙimar kuskure akan lokaci.

AI a cikin Scouting Player da daukar ma'aikata a aikace

Ƙungiyoyin wasan ƙwallon ƙafa suna amfani da saurin fita na Statcast da bayanan ƙima don tsarawa da ƙimar tulu da masu buge fiye da kididdigar gargajiya.

Ƙungiyoyin ƙwallon ƙwallon ƙafa suna amfani da saurin fita na Statcast da bayanan ƙima don tsarawa da ƙima da ƙima da masu bugu fiye da ƙididdiga na al'ada Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da tsadar kurakurai a kan lokaci.

Hatsari & Tsare-tsare

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Yin aiki da ɓaryayyen tsari na iya haɓaka matsalolin da ke akwai.

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Ƙungiyoyi na iya wuce gona da iri kuma su cire hukuncin ɗan adam da ake buƙata.

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Ingancin na iya motsawa idan ba a ci gaba da kimanta abubuwan da aka fitar ba.

Taswirar Hanya

1

Taswirar tsarin aiki na yanzu kuma gano matakin mafi girman juzu'i.

Taswirar tsarin aiki na yanzu kuma gano matakin mafi girman juzu'i. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

2

Ƙayyade wuraren bincike na ɗan adam kafin cikakken aiki da kai.

Ƙayyade wuraren bincike na ɗan adam kafin cikakken aiki da kai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

3

Horar da masu amfani akan faɗakarwa, hanyoyin haɓakawa, da ƙa'idodi masu inganci.

Horar da masu amfani akan faɗakarwa, hanyoyin haɓakawa, da ƙa'idodi masu inganci. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

4

Bibiyar sakamakon matakin ɗawainiya don tabbatar da ƙima mai dorewa.

Bibiyar sakamakon matakin ɗawainiya don tabbatar da ƙima mai dorewa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

Ci gaba da Bincike