Salesforce Warning: AI Adopt Karo Warna Ho Jaoge Obsolete! Vala Afshar Ka Bada Alert

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AuthorKavya Nair|Published at:
Salesforce Warning: AI Adopt Karo Warna Ho Jaoge Obsolete! Vala Afshar Ka Bada Alert
Overview

Salesforce ke Vala Afshar ne warn kiya hai ki AI assistants adopt karne ka chance kam ho raha hai. Jo companies adapt nahi karengi, woh risk mein hain aur peeche reh jayengi. Isko woh 'digital Darwinism' bolte hain. Unhone 5 steps bataye hain: Redesign, Reskill, Redeploy, Restructure, Reclaim. Yeh framework AI ko use karke boring, repetitive tasks automate karta hai, taaki employees zaroori kaam par focus kar sakein. India mein Salesforce ka Hindi support bhi iski example hai.

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Yeh message bilkul clear hai: Salesforce ke Chief Digital Evangelist, Vala Afshar, keh rahe hain ki companies ab sirf AI assistants use karne ka soch nahi sakti. Abhi action lena hoga warna purani ho jayengi. Unhone current rapid tech change ko 'digital Darwinism' bataya, jisme survival quick adaptation par depend karta hai, old systems par nahi. Is urgency ka asar Salesforce, SAP, aur ServiceNow jaise companies ke stock par bhi dikh raha hai, jo iss saal kaafi gire hain.

Transformation ke 'Five Rs' (5 R Ka Formula)

Afshar ne AI-driven shift ke liye ek strategic plan bataya. Start hota hai Redesign se: companies ko apne tasks ko examine karna hoga taaki woh repetitive, low-value work ko identify kar sakein jise AI automate kar sakta hai. For example, unhone bataya ki sales leaders sirf 28% time selling mein lagate hain, aur baaki 72% planning aur preparation mein chala jata hai. AI assistants ab yeh tasks efficiently handle kar sakte hain.

Next hai Reskill, jisme employees jinke jobs change hote hain, unhe naye skills sikhaye jate hain. Fir unhe Redeploy kiya jata hai zyada complex, creative, aur strategic roles mein, aksar better pay ke saath. Restructure ka matlab hai budget, teams, aur management structures ko is naye working style ke according adjust karna. Final step, Reclaim Latent Value, mein naye opportunities dhundhna hota hai. India mein Salesforce ka Agentforce Voice support for Hindi launch hona ek perfect example hai, jisse desh ki majority language bolne wale logon ki need poori ho rahi hai, woh bhi 25 saal baad.

Work ki definition mein change

Salesforce ka apna journey bhi iss change ko show karta hai. Agentforce ne 16 mahine mein 3.5 million se zyada customer service cases solve kiye. Isko manage karne wale 3,000 employees ko nikala nahi gaya; unhe retraining ke baad forward deployment engineers aur solutions engineers jaisi roles mein shift kiya gaya. Ab, Salesforce ke 85,000 staff mein se 60,000 rozana Slack bots use karte hain. Yeh ek naye type ke 'hybrid work' ka signal hai jahan log aur AI milkar value create karte hain, sirf 'kahan' kaam ho raha hai nahi, balki 'kiske' ya 'kiske saath' kaam ho raha hai par focus karte hue. Isse har employee ek united team ka hissa ban jata hai.

Competitive Edge

Afshar ka manna hai ki Salesforce ka main advantage technology nahi, balki uske employees hain. Anthropic aur OpenAI jaise AI developers se competition ko acknowledge karte hue bhi, woh argue karte hain ki Salesforce ki strength uske 'determinism' mein hai—ek robust data foundation jo ise typical AI language models se zyada reliable banata hai. Context, work, AI assistants, aur Slack jaise communication tools ko integrate karne wala ek strong system vital hai. Salesforce apna platform bhi change kar raha hai, jahan naye initiatives AI agents ko main users banane ki taraf badh rahe hain, jo APIs ke through accessible honge. Yeh approach, autonomous cars dwara drivers ki zaroorat kam karne jaisa hai, access ko easy banane ka aim rakhta hai. End mein, adaptability aur continuous learning future workforce ke liye sabse important skills hain.

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