What is Cloud Based Artificial Intelligence? - Smashers Hub

If you’ve been hearing about Cloud-based artificial intelligence (AI) lately but aren’t sure what it means or how it works, you’re not alone. Cloud-based AI refers to software that utilizes the power of cloud computing to run the intelligence process known as machine learning (ML). The idea might seem complicated at first, but once you understand the basics of both AI and cloud computing, the technology won’t seem so daunting anymore.

Cloud-Based Machine Learning

It’s not just for researchers anymore. Big data technologies like cloud computing are reshaping how we create artificial intelligence and leverage AI for human benefit. With machine learning frameworks becoming increasingly accessible and affordable, many enterprises are leveraging machine learning in their decision making processes. This guide will teach you what Cloud-based machine learning looks like and how you can use it to make better decisions with your business today.

Cloud Computing as a Platform for AI

The AI cloud, a concept only now being implemented by enterprises, combines artificial intelligence (AI) with cloud computing. By leveraging both of these concepts simultaneously, businesses can deliver much more complex and powerful solutions for their customers. This manual will help you comprehend how to use cloud-based AI in your industry.

How Does Cloud Computing Work?

First, you store your data in the Cloud. The Cloud is a network of computers located remotely on a web server that can be accessed via any internet-connected device.

How Does Cloud Computing Differ from Traditional Data Centers?

The Cloud offers many benefits over traditional data centres, including easy scalability and elasticity, but how does it compare to more standard cloud computing services? To find out, let’s take a look at what each has to offer. Here’s a recap of some of the essential differences between traditional data centres and those that utilize the cloud-based infrastructure.

A look at Amazon Web Services (AWS)

According to Amazon, you can deploy deep learning frameworks such as MXNet, PyTorch, TensorFlow and Caffe2 on your infrastructure with AWS Deep Learning AMIs. Similarly, to use popular machine learning packages like scikit-learn and H2O in Python or R for training models, you can launch an AWS Elastic Container Service (ECS) cluster optimized for CPU-intensive code.

Google’s AlphaGo - how did it learn how to play go so well?

Google’s AlphaGo artificial intelligence program can now defeat human opponents at a sophisticated board game called Go. But how did it learn to play so well? It wasn’t just given an extensive database of previous matches to learn from - instead, AlphaGo understood by recreating millions of games against itself in virtual reality before being let loose on top human players.

Is cloud computing secure?

The Cloud, a buzzword and an actual concept, offers some security benefits over traditional computing methods. Whether or not it’s secure for you depends on what you’re storing and how you’re storing it.

What is Cloud Based Artificial Intelligence?

Cloud-based artificial intelligence (AI) is a concept only now implemented by enterprises. It combines artificial intelligence (AI) with cloud computing, where large corporations invest money in building and storing data centres for companies to rent for their use. 

The advantages of using Cloud-based AI over on-site computing are:

  • No need to build a local infrastructure
  • Large investments in hardware, software, human resources can be avoided.
  • More flexibility and less security risk
  • Cloud-based AI allows employees to access information from anywhere as long as they have an internet connection. 

The main disadvantage of Cloud-based AI is high cost due to limited competition, resulting in slower innovation than if you had your dedicated computers for your business.

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