Google ka Gemini AI: Ab har product mein, aur companyyon ko hogi ₹1 Billion ki bachat!

TECHNOLOGY
Whalesbook Logo
AuthorKavya Nair|Published at:
Google ka Gemini AI: Ab har product mein, aur companyyon ko hogi ₹1 Billion ki bachat!
Overview

Google ne apne sabhi products, infrastructure aur developer tools mein Gemini AI models daal diye hain. Yeh ek bada shift hai! CEO Sundar Pichai ne bataya ki ab har mahine trillions of tokens process ho rahe hain aur Gemini ka use badh raha hai. Naye models mein advanced Gemini Omni aur cost-effective Gemini 3.5 Flash hain, jo businesses ke liye saal mein **$1 Billion** se zyada ki bachat kar sakte hain. Search, YouTube aur Workspace mein bhi AI features badha diye gaye hain.

Instant Stock Alerts on WhatsApp

Used by 10,000+ active investors

1

Add Stocks

Select the stocks you want to track in real time.

2

Get Alerts on WhatsApp

Receive instant updates directly to WhatsApp.

  • Quarterly Results
  • Concall Announcements
  • New Orders & Big Deals
  • Capex Announcements
  • Bulk Deals
  • And much more

Google ka AI platform revolution

Alphabet ab Gemini AI ko apne future computing ka center bana raha hai. I/O 2026 conference mein, CEO Sundar Pichai ne kaha ki yeh AI platform shift ka ek naya chapter hai. Gemini ko Google ke products, global infrastructure aur developer network mein integrate kiya ja raha hai. Company ne bataya ki ab har mahine trillions of tokens process ho rahe hain, aur Gemini ko consumers aur businesses dono hi khoob use kar rahe hain. Search mein AI Overviews ab 2.5 billion users tak pahunch gaye hain, aur Gemini app ke monthly active users 900 million se zyada hain.

Naye AI Models aur Cost Savings

DeepMind CEO Demis Hassabis ne Gemini Omni launch kiya, jo ek omni-modal AI system hai. Yeh text, audio, images aur video ko ek saath process aur generate kar sakta hai, jo generalized AI ki taraf ek bada step hai. Businesses ke liye, Google ne Gemini 3.5 Flash launch kiya hai, jo faster, lower-latency aur zyada cost-effective hai. Google ka andaaza hai ki businesses coding aur long-context tasks ko Gemini infrastructure par shift karke saal mein $1 billion se zyada bacha sakte hain.

Search aur Content Interaction ko enhance karna

Google ki AI strategy mein Search product par khaas focus hai. Ab multimodal search queries, AI-generated visual explanations aur interactive responses milenge. Isse users aur dynamically information search kar sakte hain aur complex queries ka autonomous summarization kar sakte hain. YouTube mein 'Ask YouTube' add kiya gaya hai, jahan users seedha video ke baare mein sawaal pooch sakte hain aur summary pa sakte hain. Google Workspace mein, Docs Live voice-powered collaboration dega real-time brainstorming aur editing ke liye.

Agentic AI aur Infrastructure

Google apne agentic AI capabilities ko Antigravity 2.0 ke saath boost kar raha hai, jo complex workflows aur autonomous tasks manage karta hai. Gemini Spark assistant Workspace aur third-party apps mein integrate hoga taaki workflows manage ho sakein aur routine tasks automate ho sakein. Google ne apni next-gen Tensor Processing Units (TPUs) bhi announce ki hain - TPU 8T training ke liye aur TPU 8I inference ke liye, jo chips se lekar end products tak unke integrated approach ko dikhata hai.

Competitive Landscape

Google ke naye AI offerings Microsoft aur Amazon jaise tech giants ke saath competition ko aur tez kar rahe hain, jo generative AI mein kaafi invest kar rahe hain. Gemini 3.5 Flash ki cost-efficiency enterprise clients ko attract karne mein ek important factor ho sakti hai. Consumer products mein Gemini ka widespread integration user engagement aur data collection ko maintain karne mein madad karega, jo AI models ko improve karne aur AI race mein competitive rehne ke liye zaroori hai.

Get stock alerts instantly on WhatsApp

Quarterly results, bulk deals, concall updates and major announcements delivered in real time.

Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.