@boussantiguii: #boussantigui🗿

Boussan Tigui 🗿
Boussan Tigui 🗿
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Region: FR
Sunday 08 November 2026 13:20:04 GMT
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tidianedohsanou
DFD froid et climatisation :
les deux équipes marquent 🤣🤣🤣🤣🤣
2026-11-08 13:50:40
22
alioudiallo5799
Babal🇲🇱🇳🇿 :
son djara trop 😁😁😅
2026-11-08 14:46:05
6
moussa.kouyate491
Moussa Kouyate :
bussan tiki gagne 😂😂😂😂
2026-11-08 14:59:56
4
benfama93
BEN FAMA MAMA :
le son est disponible
2026-11-08 14:21:06
5
rimkarra0
karim--Diarra :
je suis fan de garalo champion den wallaye bilaye
2026-11-08 14:14:00
3
soldvt20
soldvt 20 ✊🏽 :
Boussan tiki. Vs. Telou tiki[Larmes de joie]
2026-11-08 14:59:30
1
frankasoil
Avertissement ⚠️1x :
Garalo descend sur 2e diffusion
2026-11-08 14:19:03
2
arlo223zv
Arlo223. :
Deux équipes marquent Premier mi-temps [Innocent]
2026-11-08 14:27:20
1
f.sissoko08
《FOUSSENY☆ SÏSSØKØ 》{🇲🇱🇪🇦} :
🇺🇦Ukraine🆚️Russie 🇷🇺
2026-11-08 14:07:05
0
dramanedicko862
Dramane Dicko :
2026-11-08 13:31:18
1
gladiaboura2
gladia boura223🇲🇱 :
Long vie à toi boussantigui [Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant][Réconfortant]
2026-11-08 14:16:28
1
benkai.coulibaly
🇲🇱STAR BEN 10🇲🇱 :
cool
2026-11-08 13:38:11
2
star_kebe_8
𝐒𝐓𝐀𝐑 𝐊𝐄𝐁𝐄 🇰🇷 :
Deux équipes ont marqué nous sommes au prolongation
2026-11-08 15:13:53
0
kamafraon.diakite
Kamafraon Diakite :
🥰🥰🥰
2026-11-08 14:41:43
1
saganre.adama0
Saganre Adama :
garalo à gagne 😅😅😅😅
2026-11-08 14:54:37
0
makaolu90
ADAMA 🇲🇱💙🇪🇦💸 🫵 :
💪💪💪💪💪💪💪💪💪💪💪💪💪💪💪😱😱😱😱😱😱😱😱😱😱😱😱😱😱😱
2026-11-08 13:23:50
1
damo.chez42
Damo sora💪💪🇲🇱🇪🇸 :
👍👍👍
2026-11-08 13:33:30
0
moussacoulibaly157
@Moussa :
2026-11-08 14:50:56
0
karamokodiomande4
Karamoko Diomande452 :
2026-11-08 14:42:55
0
madou5614
Madou :
Galoté coolll wly 😂😂😂
2026-11-08 14:34:45
0
watibitalie223
@ Wati 223 :
2026-11-08 14:50:53
0
user12908142996085
Abdoulaye maïga :
garalo a vie
2026-11-08 15:16:15
0
user8167046954127
batoma♥️ :
😂😂😂😂😂
2026-11-08 14:46:14
0
yayaberthe039
champion :
2026-11-08 14:48:09
0
user1507491142618
Sangaré Salif :
2026-11-08 15:16:59
0
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Other Videos

If AI saved all your employees 2 hours tomorrow, would they know what to do with it?  And at first the first thing to really do is you've got to check whether the time was actually saved, because even if work has been automated or redesigned, there is still manual work that needs to be done to oversee the process,  including optimising the instructions, checking it against different models, and checking the outputs in maintaining the process at least every quarter as models change, instructions are different, and there are new features and capabilities that could either enhance or make the whole process irrelevant. For example, if we're building construction estimates or construction estimate packages, a 2 hour process could turn into 20 minutes using AI. However you still need to do checks for corrections for accuracy, which takes an additional 25 minutes.   So the total time could be 45 minutes instead of 2 hours  And let's say this person does 20 estimating packages per month that's about 25 hours of additional capacity. It's measuring the time from creation to final output not to the first draft . And then determine if that added capacity is actually usable or just backfills an already overburdened employee  This is what works with Heather's framework: - Is the time available actually meaningful, or is it scattered? - Does the employee have the skills and authority to actually use the time differently? - Is there other valuable work waiting? - As mentioned, does the person actually have the capacity to do it? We still got to determine what the added capacity should produce. Is it producing: - more - better service quality - lower costs - being more sustainable for work - added future capabilities? And sometimes we forget that we need to have the employee as part of these decisions. Because if they're more efficient why would someone volunteer if they were just getting more work?  Or maybe the reduced amount of work can reduce the pressure on that person because they're already having to juggle multiple tasks  And finally just because there was time saved and things go faster. Was there an actual benefit? #timesavingtips #timesaved #aiforbusiness #aibusiness
If AI saved all your employees 2 hours tomorrow, would they know what to do with it? And at first the first thing to really do is you've got to check whether the time was actually saved, because even if work has been automated or redesigned, there is still manual work that needs to be done to oversee the process, including optimising the instructions, checking it against different models, and checking the outputs in maintaining the process at least every quarter as models change, instructions are different, and there are new features and capabilities that could either enhance or make the whole process irrelevant. For example, if we're building construction estimates or construction estimate packages, a 2 hour process could turn into 20 minutes using AI. However you still need to do checks for corrections for accuracy, which takes an additional 25 minutes. So the total time could be 45 minutes instead of 2 hours And let's say this person does 20 estimating packages per month that's about 25 hours of additional capacity. It's measuring the time from creation to final output not to the first draft . And then determine if that added capacity is actually usable or just backfills an already overburdened employee This is what works with Heather's framework: - Is the time available actually meaningful, or is it scattered? - Does the employee have the skills and authority to actually use the time differently? - Is there other valuable work waiting? - As mentioned, does the person actually have the capacity to do it? We still got to determine what the added capacity should produce. Is it producing: - more - better service quality - lower costs - being more sustainable for work - added future capabilities? And sometimes we forget that we need to have the employee as part of these decisions. Because if they're more efficient why would someone volunteer if they were just getting more work? Or maybe the reduced amount of work can reduce the pressure on that person because they're already having to juggle multiple tasks And finally just because there was time saved and things go faster. Was there an actual benefit? #timesavingtips #timesaved #aiforbusiness #aibusiness

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