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“Anything that could give rise to smarter-than-human intelligence—in the form of Artificial Intelligence, brain-computer interfaces, or neuroscience-based human intelligence enhancement – wins hands down beyond contest as doing the most to change the world. Nothing else is even in the same league.” —Eliezer Yudkowsky
AAS is As A Service, a term used to define the services provided to the consumers internally or externally, including Infrastructure as a service, Platform as A Service, Software as a Service, and Artificial Intelligence as a Service (AIaaS). We’ve discussed how SaaS helps in the growth of our businesses; now, we’ll focus on how AIaaS can change the fate of any company without heavy investments.
It was challenging to embed AI in the framework of the organizations to automate the operational processes because of budget and expertise constraints. Nowadays, it is easier to expand enterprises all thanks to “AI as a Service” providers.
You can find a lot of information about these service providers online, but deciding which one is accurate for your business is a bit difficult. We’ve tried to gather all possible bits and pieces related to AIaaS to make sure you find a complete database of information about these services in this piece of work. Let’s discover what AIaaS providers have on their plates to offer without delay.
What is AI as a Service (AIaaS)?
A groundbreaking development that acts as a third-party to offer low-cost, high-value artificial intelligence-based services to businesses and startups is primarily known as “Artificial Intelligence as a Service(AIaaS).”
With little initial funding, entrepreneurs can incorporate artificial intelligence into their setups. With the help of these AI-based tools, companies can finish the time-consuming, complicated task in a matter of seconds.
AIaaS providers offer solutions ranging from simple data entry work to complex machine learning tasks; companies have the flexibility to determine what offers they want within what budget. ReportOcean suggested that the global market size of AIaaS was around $2 Billion, which is expected to cross $77 Billion by 2025.
AIaaS has opened a new world of possibilities with the help of cloud service providers like Microsoft Cognitive Services, Google Cloud, and Amazon Machine Learning. We can easily decide by trying these algorithms to find the one that can take our organization to new heights.
Benefits AI as a Service Companies are Providing
AIaaS providers are offering out-of-the-box solutions to very complicated processes. It is relatively straightforward and easier to deploy these services in the business setups. These days, the fate of industries highly depends on how they implement AIaaS in their systems.
Computer vision gives computers the ability to “see” and can bring wonders to businesses. As an example, you can set a camera in a factory to take photos of the products, which will then be sent to the AIaaS computer vision setup to identify defective products within the pictures.
Similarly, you can use API to detect objects and track them in an image or in live video. It helps to classify the images into multiple categories by using its default classifier system, or you can also use a customized classification method.
These are just a few examples; AIaaS can offer much more than this. The following are some of the benefits AIaaS companies provide:
Adaptability
AI as a Service enables us to upgrade or modify startup requirements whenever we want to. AI APIs offer dynamic systems designed to scale up or down to bring just the right amount of functionality to the application all the time.
An example is using AI tools to send customized emails and replies to clients by judging their tones and word choice. Its ability to adapt to the changing conditions helps organizations win the trust of their clients.
Accountability
AIaaS providers are very transparent in terms of their products. They outsource AI tools and let you decide what you want. You can pay as per your usage, no matter how complex the task is.
Also, it gives you the option to use Human In The Loop, aka HITL, to get opinions from the humans during the process. It will modify the concept that “AI is taking over the jobs” because HITL proves that AI is an augmentative process that can give a 100% accuracy rate by collaborating with the human brain.
For instance, in MRI, the radio waves generate detailed images of the organs under the skin. Still, we always need a doctor who’ll recommend what medication should be taken by interpreting the results obtained from magnetic resonance imaging.
Starmind is a platform known as the “Internet of Brains,” in which you can get answers to academic questions from people with the highest IQ levels. Whenever a question is asked, its AI technology identifies and connects the expert who can accurately answer that question.
Affordability
Building in-house artificial intelligence-based software is a complex and expensive procedure; therefore, most companies don’t have efficient AI tools to automate their business processes. AIaaS is a game-changer for these organizations as it is cost-effective and can be implemented effortlessly.
To begin, you’ll need to find the right AIaaS platform that can seamlessly automate the processes for you, and if you like the work, you can think about using AI-based technology in the long run.
Advanced Technology
Machine learning and deep learning are relatively complex for humans to understand and use. That’s why AI-based tools are used to diminish the need for coding complex algorithms manually. The need to hire additional staff to test complex algorithms has been reduced thanks to these service providers.
Creativity
It is no secret that AIaaS is revolutionizing the field of arts, music, and even gaming. Models like GPT-4 and Google Brain are opening new horizons for us to discover.
Artificial intelligence as a service has revolutionized everything from composing headlines and slogans to designing infographics and logos. Until recently, only humans were considered creative. Now, machines and software are raising the bar for creativity.
It can transform the future of businesses by providing tools that are of utmost value. You can use AIaaS to promote your business on social media by using catchy captions, background-free posts & images, and engaging content.
For example, you can use third-party APIs to remove background from the images with just a few code lines. These APIs can be incorporated into various tools, applications, programs, ecommerce platforms, websites, and systems that can process millions of images.
Types of Artificial Intelligence as a Service
AIaaS provides infinite scalability and flexibility to enterprises, which helps them work efficiently compared to their peers. So far, we’ve got a general idea about AIaaS and its benefits; now, we’ll shed some light on major types of AI as a service:
Bots and Assistants
Natural language processing is one of the leading technologies in helping automation. Chatbots like Manychats, Landbots, and Flowxo are some of the finest examples of artificial intelligence customer service companies. In addition to providing digital assistance, they also help businesses respond to complaints and provide 24/7 support.
AI via Application Programming Interference
API or Application Programming Interface acts as a liaison between two different programs. An example is airline booking websites that collect information about flights and destinations and then help us find suitable ones.
For example, Expedia, Kayak, and CheapOair use Artificial Intelligence via APIs to gather hotel information, resort availability, and other details to display customized data based on our past preferences. That’s why APIs are preferred technologies for travel agencies because it’s easy to make autonomous changes like reservations, bookings, and cancellations.
Data Labeling
Data labeling isn’t a difficult task unless you have to label thousands of files and organize them in a sophisticated manner. With the help of automated tools like Prodi, LabelBox, and Tagtog, we can train the AI system to do the annotation work in no time. These are customizable annotation systems that implement modern UX standards.
Machine Learning
Machine learning frameworks help developers play with the AI technology to form customized models, templates, or drag/drop technology that can learn over time from the company’s data.
Some examples are Facebook, Netflix, and Microsoft Cognitive Toolkit (CNTK), which uses machine learning processes and get huge benefits. Facebook employs machine learning processes for speech recognition to caption the videos and ads that run on the platform.
CNTK is an open-source library that offers ML prediction models which can be used for image recognition. Whereas Netflix is the big fish that uses machine learning for customized recommendations, a massive variety of subtitles to choose from, and of course, the user interface, everything is a product of ML processes.
Final Thought:
“It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries”. — Andrew Ng
AIaaS has changed the fate of many businesses which were reluctant to use AI in their setup due to cost constraints and unavailability of complex tech skills. It has enabled them to test, run, and finalize if they want AI automation in their company’s workflow or not.
AIaaS has a lot of diversity that allows end-users to test different algorithms to achieve their respective goals. The provision of cognitive functionalities makes it a popular and demanding service. Implementing these services has made us realize that every industry sector can benefit from the AI and ML processes.
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