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Will AI hit a wall? 🤔 Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data? What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️

🤖 Imagine handling CRM, marketing, accounting, and more — just by prompting AI. Is this the future you need?Would AI automation across CRM, marketing, and finance simplify your business operations? #AI #BusinessAutomation #StartupValidation #Product

Not just another software company. Here’s what makes Opslify Software Solution different: 🔹 100% AI-Driven Development 🔹 Custom Solutions for Every Industry 🔹 Indian-based Team, Global-Quality Delivery Whether it’s a simple web app or an advance

‼️Data Centre will be the future .

So here is an idea I got while stuck in traffic… What if I can create a DbaaS product that has built in features like data anonymisation, pseudonymsation, built in data record encryption, masking woth custom masking markers and can provide analytics

🚀 Built a CRM Dashboard That Actually Helps Close Deals Built a custom dashboard recently for a manufacturing company CRM — and it wasn’t just for looking pretty 😄 The goal? Make real decisions based on data, not guesswork. Here’s what I added:

AI redefines work - Easy tasks disappear - Hard tasks feel simple - Impossible tasks are the new challenge

In my opinion, these things will definitely rise in future : • "AI" • "Data" • "Data Centre" • "Energy" • "Eco friendly energy source" • "Semiconductor Hardware sector" And if you build something / solution around this, it's a win win. Find o

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs