top of page

A Beginner’s Guide to the AI Cloud

Updated: Mar 17, 2022

How is the AI cloud pushing the limits of cloud computing forward? Learn more about AI-as-a-Service and how it’s transforming the future of business.

As businesses start to work with more and more data, many are choosing to adopt cloud computing services to help store and manage that data. Now, artificial intelligence is beginning to find a home in the Cloud as well, with a variety of enterprising developers combining the two technologies to create even more robust technological solutions.

This integration of multiple technologies is transforming what the future of cloud technologies and services could potentially look like, and that’s something organizations, no matter the industry, should pay attention to.

But before you buy into the latest AI-as-a-Service (AIaaS) tool, let’s break down the basics of the AI cloud and how it’s benefiting business.

What is the AI cloud?

Most of us are familiar with AI and the Cloud as separate technologies—artificial intelligence is built on the goal of giving algorithms the ability to learn and grow in capabilities, and businesses can rent services like storage and data processing from cloud providers. But what does it mean when these two seemingly separate tools combine?

AI cloud tools essentially merge the predictive learning capabilities of artificial intelligence with the flexibility and agility offered by a cloud network. A few great examples of this are personal assistants like Apple’s Siri and Google Home.

Users can access AI-powered tools that learn over time on their own devices through the Cloud. You can probably see the huge appeal this has for businesses, especially as the data processing and analytical needs of organizations continue to grow.


Before the rise of the AI cloud, most businesses took advantage of Software-as-as-Service (SaaS) or Infrastructure-as-a-Service (IaaS). Nowadays there is a new way for businesses to leverage the cloud through AI-as-a-Service (AIaaS).

Rather than having to build out or buy your own infrastructure in order to host or create AI services, you can access whatever tools you want through the Cloud. This makes it easy for any size company to hit the ground running with these technologies and services. Especially for startups, this can be a huge advantage to both them and their customers.

While some have dismissed cloud technology as merely a fad, the popularization of AI cloud services shows that it’s not a trend but a necessity. Cloud computing is not only growing as a sector, but the need for these services, including AIaaS, is growing as well.

Key benefits of AIaaS

More Big Data processing power

Even though the amount of data being generated daily is cause for concern for some, the good news for AI applications is the more data they’re able to consume, the better they’ll be able to perform their intended functions.

And combining these applications with the Cloud means even more processing power to be able to utilize all this data. For businesses looking to stay competitive with consistent innovation, this is a big benefit.

Better efficiency

One of the biggest conversations around AI today is that of automation and just how many business tasks can be taken care of without human intervention. AIaaS tools offer organizations the ability to leverage automation to improve efficiency and productivity. By handing over tasks like data processing and management to AI, employees can spend more time on higher-level, strategic projects.

Easier security

Cybersecurity and data safety is of paramount importance today. AI-powered cloud applications can help businesses take a more proactive approach to security. For example, AI systems can track and monitor all network traffic, flagging anything suspicious in real-time. In today’s increasingly fraught cybersecurity landscape, anything that can put itself between your data and a threat is more than useful.

More flexible tools at your disposal

Both artificial intelligence and the Cloud are inherently flexible, scalable tools that can learn and/or grow as your business needs shift. And the great thing about AI cloud tools is that you can share multiple projects and use cases across the same infrastructure. Basically, as long as you have the resources to invest in becoming a part of a cloud network, you can bring on as many products and tools as you have the capital and need for.

What to expect in 2022 and beyond

It’s clear that as cloud computing continues to bring AI capabilities to more businesses, new advancements in AI will help foster new innovations and improvements within AIaaS tools. In the near future, a trend we’re keeping an eye on is cognitive computing.

Cognitive computing algorithms combine both pattern recognition, language processing, and data mining to create applications that more closely mirror human intelligence. Applications could include things like better natural language processing abilities, computer vision, knowledge mapping, and perhaps even emotion recognition and real-time language translation.

Additionally, more widespread use of AI cloud applications could create valuable new jobs. These technologies require a specific set of skills to navigate and use properly, and there will be an increased need for experts in this field as time goes on. While some fear that AI will replace jobs, the more likely scenario is that AI will augment existing jobs and create new ones.

If you’d like to learn more about the different types of AI cloud services available to meet your organizational needs, we can help. Reach out today to explore how you can take advantage of AI-as-a-Service today.

28 views0 comments


bottom of page