AI aur data enterprise ke liye ek bada game-changer ban rahe hain, lekin asli challenge hai data ko sahi tarike se use karna. HP ke AI & Data Science Business Development Manager Jerome Gabryszewski ne AI & Big Data Expo se pehle isi baare mein baat ki.
Yeh expo San Jose McEnery Convention Center mein 18-19 May ko hone wali hai. Jerome ne bataya ki enterprises ke paas first-party data ki kami nahi hai, lekin us data ko business ke liye meaningful results mein convert karna ek badi problem hai.
AI ke liye data ready kaise karein
Jerome ne focus kiya data processing par jo AI ingestion ke liye zaroori hai. Unka kehna hai ki data house ko sahi order mein rakhna sabse important hai — tabhi smart models meaningful results produce kar sakte hain.
Technology media mein aksar data ko 'new oil' bola jaata hai, lekin ground reality yeh hai ki enterprise scale par data ka sahi upyog karna aasaan nahi hai. Jerome ne is gap ko bridge karne ke baare mein baat ki.
Local vs Cloud Compute: Kaunsa better?
Ek important decision jo enterprises ko lena hota hai woh hai — cloud-hosted AI model use karein ya local compute. Jerome ne dono options ke pros and cons par baat ki, lekin specific recommendation ke bajaye decision-making framework par focus kiya.
Unhone bataya ki har enterprise ki zarooratein alag hoti hain, isliye ek hi solution sabke liye kaam nahi karega. Data sensitivity, latency requirements, aur cost — yeh sab factors decide karte hain ki kaunsa approach better rahega.
Hamaari Baat: HP ka enterprise AI vision
HP ka focus sirf hardware nahi hai — woh enterprises ko end-to-end AI solutions provide kar rahe hain. Jerome Gabryszewski ka interview dikhata hai ki HP data management aur AI deployment dono par kaam kar raha hai.
Hamari nazar mein, enterprise AI ka future hybrid approach mein hai — jahan local aur cloud compute dono ka sahi combination use kiya jaaye. HP is direction mein sahi kadam utha raha hai.
Sources & References
- HP AI & Data Science Solutions — HP Official
