cloudzenix

  When Google first launched, people typing in the search query “please give me today’s weather” would be considered unusual, because that’s what it was a query. “You don’t  talk  to a computer!” was the generally accepted view. Slowly and steadily, these queries have been moving closer and closer to questions.  “Natural Language Processing” was the key phrase. The goal was that the systems to be able to understand how people talk in their regular daily life. The complex neural networks, machine learning algorithms were developed for this purpose. The idea is that instead of teaching the computer how to understand, we give it the tools to learn how to understand. We take humans out of the equation. Instead of teaching it languages, we teach the computer how to detect patterns and learn from those patterns it themselves, occasionally intervening to tweak the importance, the weight, given to each data source point.  With the vast information hoard this is the inte...

Developers and cloud computing, since the beginning, have been intertwined in a symbiotic relationship. As competitiveness in the realm of IT is increasing with every passing day, organizations are expanding their horizons to enhance productivity and efficiency. Cloud migration across countless industry verticals has been relentless due to flexibility, economy, and scalability. After heading into 2023, we understand that the cost of cloud will skyrocket in the coming days. In addition, the disruptive volatility in the overall economy will add fire to gasoline due to the constant shifts in IT. Cloud providers are being open about how the cost of adapting cloud technology is getting out of hand. Cloud services for the general public are reaching the $600 Billion mark. Jason Fried, CEO of, Basecamp, said the increase in the cost is due to people hoarding the space in the cloud ‘just in case.’ By the looks of it, ‘just in case’ is why time, energy, and resources are laid to go down t...