AI ke saath kaam karne ka ek bada myth hai – ki aapka data perfect hona chahiye. JBS Dev ke president Joe Rose is myth ko tod rahe hain. Unka kehna hai ki generative aur agentic AI systems ke saath kaam karte waqt, perfect data ki zaroorat nahi hai.
AI mein imperfect data ka myth – kya hai sach?
Joe Rose ke mutabiq, yeh ek common misconception hai ki aapka data perfect hona chahiye is tarah ke workloads karne se pehle. JBS Dev ke president ka kehna hai ki vendors aur consultants aksar suggest karte hain ki aapko huge data lakes aur multi-year data transformation programmes chahiye. Is wajah se executives confuse ho jaate hain.
Lekin reality thodi different hai. Rose kehti hain, "The tooling has never been better than it is now to deal with poor quality data." Unka kehna hai ki yeh almost remarkable hai ki ek LLM half-written prompt ko bhi samajh sakta hai.
AI last mile – model capability se cost sustainability tak
Yeh baat samajh mein aati hai. Agar aapke paas itna powerful tool available hai, toh yeh worth hai. Lekin sawaal yeh hai ki AI last mile mein asli challenge kya hai – model capability ya cost sustainability?
Joe Rose ka approach simple hai. Perfect data ka wait karne ki bajaye, aaj ke LLMs ki capability ka fayda uthao. Poor quality data ke saath bhi kaam chal sakta hai. Lekin cost sustainability bhi ek important factor hai – kyunki AI models ko deploy aur maintain karna expensive ho sakta hai.
Hamaari Baat: Imperfect data ke saath kaam karna – kya sahi hai?
Seedha baat karein toh, Joe Rose ka point valid hai. AI industry mein ek trend hai ki perfect data ke liye wait karte rehna. Lekin asli duniya mein data kabhi perfect nahi hota. JBS Dev ka approach practical hai – aaj ke LLMs itne advanced hain ki woh imperfect data ko bhi handle kar sakte hain.
Lekin ek cheez yaad rakhni chahiye – cost sustainability. AI models ko deploy karna ek baar ka kaam nahi hai. Continuous maintenance aur updates ki zaroorat hoti hai. Isliye companies ko balance banana hoga – model capability aur cost ke beech.
Hamari nazar mein, yeh approach sahi direction mein hai. Perfect data ka wait karne ki bajaye, aaj ke tools ka maximum use karo. Lekin cost ko bhi control mein rakhna zaroori hai.
Sources & References
- JBS Dev — JBS Dev Official
