The 5 Best A.I.aaS Services

You might’ve heard of artificial intelligence, but have you ever engaged with an entire service dedicated to it? Most of our experience with A.I. systems has been limited and somewhat underwhelming. In fact, I still remember those days in middle school, having conversations with A.I. chatbots, and tricking them into saying the most ridiculous things.

Luckily, in the last decade, A.I. services have become more fine-tuned and useful. Modern technology has given us the concept of A.I.aaS, also known as Artificial Intelligence as a Service. It follows the trend of recent “as a Service” entities by catering to many types of businesses. A.I.aaS is regarded as a cost-effective way to bring A.I. systems to your enterprise. 

These 5 notable A.I.aaS Services can give your company the tools it needs to mimic the human mind as closely as possible. 

5. MonkeyLearn

Pros: First on our list is MonkeyLearn. This is a text analysis program that works to extract custom data. The cool thing about MonkeyLearn is that it provides data visualization instantly. It also has built-in custom machine models. This allows you to build and train classifiers. Overall, MonkeyLearn is all about quickly simplifying text analytics. There’s a reason why the service describes itself as an “all-in-one” solution.

Cons: MonkeyLearn is high-priced compared to similar services. It also has a long comment tagging process. And if you care about integrations, the service has a limited amount of them. 

4. IBM Watson

Pros: IBM Watson has a shitton of A.I.aaS services that allow companies to seamlessly make use of their data. You can use Waston Assistant to build virtual subordinates. You could also use Waston Natural Language Understand to deploy an advanced text analysis. IBM Watson Studio pulls out the big guns by allowing you to build, train, and deploy learning machine models. These models can then be easily transferred across various cloud systems. 

Cons: Since there are so many different IBM Watson tools, it’s kinda hard to get a universal set of cons. WhatvI will say is that these programs don’t usually involve free trials or optimum counseling services. 

3. Amazon Web Services 

Pros: Here’s a name you should already be familiar with. Amazon Web Services is one of the many utilities offered by the juggernaut company. It offers low-cost cloud storage for your company. Access it anywhere, at any time. You can give their free trial a go and take advantage of their many cloud security tools. It also lets developers run certain types of coding. 

Cons: As far as billing goes, some people say that the information isn’t clearly laid out. 

2. Microsoft Azure

Pros: This is a public computing platform created by none other than Microsoft. Much like IBM Watson, it offers a plethora of A.I.aaS services. Only this time, it’s all in one place. Azure Cognitive Services allows companies to use APIs, which can add a multitude of AI capabilities. Azure Bot Service allows you to build any type of AI robot. This platform is truly a jack of all trades for computing.

Cons: There have been some complaints surrounding technical support. Furthermore, Microsoft Azure is not available in all regions, as you’d expect from a platform built by such a huge company.

1. Google Cloud ML (Best A.I.aaS Service)

Pros: Is there anything Google hasn’t created yet? Google Cloud ML is an engine that also deploys machine learning projects. What is unique about this one is that you can easily integrate this system with all other Google cloud services. That’s one of the great things about having a Gmail account; it practically helps you in every facet of life. Their “What-if-tool” works to gather metrics and visualize datasets. AutoML can train many custom learning models. This includes;

• translation
• Image classification
• Text analysis 

Cons: The price is notably high for an A.I.aaS service. This makes things difficult for smaller organizations. 

As the years go by, A.I.aaS services are becoming increasingly useful to everyday corporate life. I can only imagine what technology will have in store for us in the next decade.