What is the Relationship Between AI and Cloud Platforms?

Artificial intelligence and cloud computing are two of the most impressive new-generation technologies in the world at the moment. Both have a lot of methods of improving businesses and making business operations more seamless.

However, like many concepts that go together, artificial intelligence and cloud computing actually have a lot of relationships. 

The primary definition of cloud computing is the availability of computer systems on-demand as resources – especially when it comes to computing power and storage capabilities. Cloud computing is especially great because it doesn’t require direct active management by the user. This means that you’re using software and hardware to deliver services and access over a network – usually the internet. 

The iCloud function on your iPhone is a great example of cloud computing. Google Drive is another great option – it connects with apps like Google Docs, Sheets, and Slides to offer services to you on the go. 

Considering that artificial intelligence is seen as the future of technology, you might be wondering how it can add value to your cloud computing services. A lot of cloud computing consulting experts have been debating this question, and it will appear that artificial intelligence indeed has much to offer.

Combining artificial intelligence and cloud computing will offer a lot of benefits for customers. Besides their ability to store data, companies can also analyze this data and draw inferences directly from it. 

Over the past few years, companies like IBM, Google, Microsoft, and Amazon have found significant success with artificial intelligence investment. They’ve also used this to improve their enterprise cloud software, lending some of these to other businesses and customers across the world. 

Currently, the AI-cloud computing integration can be broken down into the following: 

Business intelligence

This is the application of cloud-based AI services to analyze data about a company’s target audience. You can analyze information about their performance, understand trends that concern them, and make decisions from there. 

Business intelligence involves the use of cloud services to manage and store large amounts of customer data, while machine learning helps to improve analysis over time. 

IoT cloud

The internet of things (IoT) employs cloud services to improve performance and power. These services are used to store and process data that is generated by the IoT. 

Chatbots

Chatbots are AI-based software that companies use to engage with their customers. These services are an important part of the company’s customer relationship management suite, and they can stimulate conversations with the customers based on analysis. 

Among other things, cloud-based services will be able to store massive amounts of data, which the chatbots will then use to learn and grow. 

Cognitive cloud

While it isn’t so famous, cognitive cloud computing is another important merger point between artificial intelligence and cloud computing. Essentially, this is the use of computerized models to emulate the human thought process – especially in complex situations where solutions might be hard to find. 

Cognitive cloud services work on signal processing and artificial intelligence.

AI-as-a-Service

Thanks to AI-as-a-Service, individuals and companies can get AI platforms and use them to experiment for different purposes. The companies don’t need to make so substantial investments, and their risks are also significantly lowered. 

Cloud AI Platforms

The cloud AI platforms are a separate part of the AI-cloud computing merger. Essentially, these platforms make it better for companies to make decisions and serve their customers. 

There are several examples of this merger. There’s the Amazon Web Services (AWS) platform, which is used by companies for a wide array of functions. Google Cloud has also stepped up in this industry, with technicians using it to test machine learning models and make decisions on their behalves.  

By integrating artificial intelligence in cloud computing platforms, you can make the latter even more efficient and ensure that it makes the best decisions. These decisions will help grow your business and improve your sales. 

How the AI-Cloud Integration Helps You

Here are some benefits that you can hope to get from this integration: 

Better decision making

The entire point of implementing technologies like AI and cloud computing is to help you gain better insights into your business and what you could have been doing better. Thanks to artificial intelligence and machine learning algorithms, your company can have a better view of some patterns and draw valuable data from sets. 

These insights can show a lot of things – from customer trends and behaviors to possible market patterns. At the end of the day, having the required data will be key in helping you to make better decisions over time.

Improved cost-efficiency

The combination of cloud computing and artificial intelligence can also help you to cut out a lot of unnecessary costs. 

When you use the cloud, you don’t need to pay for data centers or warehouses. So, much of the data that is derived and worked on is stored on the cloud – and you can access it anytime you want. So, you get to cut down on storage fees. 

Moving to cloud computing will help your company to reduce costs through a reduction in equipment and capital expenditure.

Optimized analytics

As expected, it’s not enough to just store data in the cloud. You also need to analyze it to know what needs to be done. Thankfully, AI is here to help with the analysis task. 

Even if you hire a team of skilled analysts to work on your data, they will need to take their time and go through tedious processes to get the job done don’t forget the money you will need to pay them as well. Instead, the combination of AI and cloud computing will help you to make better sense of your data. 

Better data access

Combining artificial intelligence and cloud computing will help you to better access your data when you need it. There will be no issues of delay or data inaccessibility as you have everything you need when due.