The world is evolving faster than ever before. Today, the use of technology is skyrocketing and AI is driving this. Ever since the COVID-19 pandemic, digital transformation has been playing a critical role in many organisations. The transformation process boosts up digital technologies to develop customer experiences and culture, create business processes and meet customers’ needs in the market.
This is where AI comes into play. Artificial Intelligence makes the company flexible and highly adaptable. From searching anything in Google to making smart interactive robots, and everything in between, AI can be revolutionising technology that transforms thriving enterprises into successful one.
The intelligence demonstrated by machines basically sums up AI. To improve computer functions is the main objective of Artificial Intelligence, some examples are, reasoning, learning, and problem-solving. There are many objectives in which AI can be researched, some of them are it solves problems, helps in completing multiple tasks, it builds up the future of many companies. As far as AI research is concerned, many tools apply when it comes to mathematical optimization, different statistical methods, economical equations, probability, neural networks, and many more, and when it comes to computer science, it attracts AI in the field of science, mathematics, psychology, linguistics, philosophy, and so on.
AI as a Service
AI plays a major role as a service in many fields. Today, Artificial Intelligence as a Service (AIaaS) is becoming ubiquitous.
When it comes to healthcare, cloud, IT service management, call centres, agriculture, manufacturing, customer experience there is now some form of AI driving tools in these industries. When delivering AIaaS to individuals and companies, most AIaaS platforms use machine learning APIs and guidelines. Before the Mother of Machine Learning was more dominant but eventually AI took over Machine Learning as a service (MLaaS) entirely.
There are high-level and low-level AI’s.
- High-level AI’s focus on more complicated, but standardized problems.
- Low-level is more focused on one narrow task.
Today, there are many platforms of ML and AI and provider platforms offer a vast range of styles. That’s why it is really crucial to test the services before it’s application development.
Right now, the power of AI is growing exponentially. AIaaS is producing an impact on many organisations and businesses as it furnishes from the ground up and as a whole. Some of the main players in the AIaaS race are mainly Google, Microsoft, IBM, and Amazon. They make use of AI in almost any way possible, from customer services to robotic automation, you name it. They can make it a reality for those looking to utilise AI. This is mainly because they have large public cloud infrastructures and AI platforms.
Ever since the pandemic, the business has been running slow and organisations have experienced a downfall in their resources. This is where AIaaS came into full effect. The demand has been growing big-time, and businesses came to the realisation that they need AIaaS more than ever before. The ecosystem is growing, where, for AI to be optimised it needs a whole network of partners, which is making AIaaS even more popular. AIaaS will now forth be simply called just a ‘service’, as many companies are catching up today and the legacy era has almost come to an end. Today, Small and Mid-Sized Businesses(SMB’s) require the use of AI to compete with larger organisations. This is in fact, their only hope of moving forward.
What Are the Different Types of AIaaS?
There are numerous types of AIaaS solutions. They can be chosen based on what business goals you set and whatever you’re looking to upgrade. They are-
1.Bots and Digital Assistant
If you ask which is the most popular type of Artificial Intelligence as a Service, it is bots and digital assistance. AI technologies such as chatbots, digital or virtual assistants, and automated email services fall under this category. For example, Apple’s Siri, Amazon’s Alexa are two examples of virtual assistants. To learn conversations with humans, bits and digital assistance tools use Natural Language Processing (NLP). They are broadly used in marketing applications and customer service.
2. Cognitive Computing API’s
APIs stand for Application Programming Interfaces. This type of AIaaS stands out from the others as it helps the developers to add a specific technology or service to an application they are building without writing code from scratch. Favoured API services include NLP, knowledge mapping, computer vision, emotion detection, translation, and intelligence searching.
3. Machine Learning (ML) Frameworks
ML frameworks are another type of AIaaS. The developers build their own AI models using these tools. They speed up the process of machine learning algorithms. One of the main advantages of ML is that it doesn’t need big data to function. This technically means that it is also applicable for smaller companies that don’t have large amounts of data at their disposal. Some of the key features are
- It is optimized for performance
- Developer friendly
- It is easy to understand and code on
- Provide parallelisation to distribute the computation process
A few examples of Machine Learning frameworks are TensorFlow, Amazon Machine Learning, Google Cloud ML Engine, Caffe, etc.
4. Fully-managed ML services
Fully-managed ML services provide the same functionality as ML frameworks to the developers but instead, they need not build their own AI model. In a huge industry, let’s say that their projects are at a much larger scale and bring extra complexities to the table (maintenance and development), is where fully managed ML comes in. It offers greater flexibility, reliability, and transparency to the team by shifting the process to the cloud. If a company doesn’t want to invest in development tools, this AIaaS may be highly suitable.
Accelerate Digital Transformation Using AI-as-a-service?
Digital Transformation has played a pivotal role in many organisations. With the help of which, many companies, and businesses have flourished, almost as if it has entered a whole new level of technology. Digital Transformation is one of the decisive initiatives many organisations have undertaken or are taking up today. A vast range of technologies such as VR(Virtual Reality), SaaS, robotics, IoT(Internet of things), etc, plays a crucial role in digital transformation.
Artificial Intelligence is recognised as one of the main facilitators of digital transformation. It was a huge step for digital transformation when AI and ML came into effect, especially in business strategy.
We all know that in order for a business to grow, it must gain a good amount of profit. And profit can’t be generated if you don’t get good and loyal customers. So customers are very important in the role of building up a business. Every digital transformation depends on the kind of audience and the buyers. It is very important to get to know the customer more, at the beginning of the digital transformation. AI is well suited to this mission. Artificial Intelligence checks out the customer take a look at their purchases and with the use of predictive analysis, AI technology will be able to predict customer demands, come up with an ideal set of things that the customer might purchase again, and unlock their insights in a detailed view. This way, companies can get higher customer satisfaction and increased customer loyalty.
Another important advantage of using AIaaS in digital transformation is that it accelerates the growth and profitability of businesses and companies. Business leaders have faced a lot of profit when it comes to digital transformation, with the help of AIaaS.
Customer Service is another aspect where industries accelerate digital transformation using AIaaS. Today, all companies have automated chatbots and AI for customer service. It has in fact, boosted up efficiency for almost all companies and made customer interaction much easier especially during the current “Work from Home” situation.
Conclusion
In conclusion, we can say that AI is vital for accelerating digital transformation. In order for businesses to flourish, undertaking the digital transformation is a must, especially in the 21s century. Ever since the pandemic, businesses have been taking up the help of AI services to boost up the digital transformation game. Artificial Intelligence is improving and getting smarter day by day and the biggest challenge for all of us is to adapt to that change and try to keep up with their transformation.
We just might be entering into an advanced tech world much faster than ever before. Prepare to take off in 3…2…1…
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