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Hansh Haraniya

Hey I am on Medial • 1y

Currently they're actually creating a category, a space for themselves which involves a lot of cash burn. Once the category is established, they'll turn profitable with usage of data they've gathered since past years. Data points will play a major role and act as an barrier for other brands to emerge real soon.

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Kishan Kabra

Founder & CEO • 1y

In category creation burn is OK for acquiring customers, marketing, etc. But in other well established categories why businesses are burning? Because if competition?

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P sai Krishna

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Sudarshan Pal

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The Data engineering life cycle has the following 5 stages Generation: This is where data is created. Think of it as information being born. It can come from various sources like e-commerce sites, weather sensors, or even your favourite video games

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Manish Shetty

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Hello everyone, I'm working on a startup that involves creating an AI, and I have a question I could use your help with: -->> For pitching the idea of my AI startup, should I aim to store the data in gigabytes or terabytes ? To demonstrate how my AI

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Aayush Tripathi

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Abdul Razzaq

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I've conducted research on pursuing a master's degree in AI abroad, but I'm confused about what to do next. This is the information I have gathered. Can you help me make a decision and share your opinion? Pursuing a Master's in AI Abroad Ireland: A

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Gigaversity

Gigaversity.in • 22d

Massive data creation is no longer the challenge—meaningful usage is! By the end of 2025, global data creation is expected to hit 181 zettabytes, a 150% surge since 2023. Yet, remarkably, less than 0.5% of this data is ever analyzed or put to use. Th

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Vikas Acharya

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All you need to launch a real product 1. Auth (signup, login, logout) 2. Database (store user actions) 3. Payments (get paid) 4. Security (protect your data) 5. Frontend (UI/UX) 6. Backend (APIs and logic) 7. Notifications (email, push) 8. Analytics

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