Back

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! ⬇️

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

Unlock the potential of your data with our latest insights! 🌟 Dive into "Unlocking the Power of SQL: 7 Advanced Techniques for Data Manipulation in Data Science." Enhance your skills and elevate your projects with these expert strategies. Discover m

looking for a co-founder who is a full stack cloud engineer to build a better AI centric smartphone. DM me.

Inspirational insights : The quotes collection:- "Always dream and shoot higher than you know you can do. Do not bother just to be better than your contemporaries or predecessors. Try to be better than yourself. " - WILLIAM FAULKNER Like, share,

What if we had a platform that visualized all of India’s data? Imagine a single space where we could access real-time, visualized information on energy consumption, population trends, vehicles on the road, birth and death rates, education levels, he

Spotify didn’t just compete with Apple Music—it built a network effect machine. While Apple Music pays artists more per stream, Spotify dominates with 675M users vs. Apple’s 93M. Why? Spotify made music social. Every shared playlist, collab, and fr

Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

Exciting Update to Retail Studio! We're thrilled to introduce a powerful new feature in Retail Studio: Customizable Reports! 🛍️📊 Now, you can tailor your reports by selecting the columns you need, making data analysis faster and more efficient. Thi

A messy CRM = wasted time, bad insights & lost revenue. Cleaning up your HubSpot database is not just a nice-to-have—it’s a MUST for better marketing, sales, and automation! ✅ Here’s How to Keep Your HubSpot Data Clean & Organized: 1️⃣ Find & Merge