The global market will generate a revenue of 126 billion dollars, and it is estimated that AI will generate a value of $15.4 trillion per year across 19 business fields (Source: Statista). Data-driven business firms are shifting to artificial intelligence (AI) for the future of data processing and analysis in the era of digital transformation.
Massive amounts of data, which are scalable and immediately available in a cloud setting, are needed for AI’s cognitive capabilities. Companies that use AI in the cloud, achieve a major competitive advantage.
What is Cloud-based AI?
This phenomenon arises when the strength of AI is combined with Cloud Computing. When AI’s Machine Learning capabilities are combined with cloud-based computing environments there is an interactive and integrated experience created.
For instance, virtual assistants like Siri and Alexa, combine AI technology with cloud-based computing capabilities at ease. Different types of cloud-based applications that are designed to help incorporate AI or Machine Learning solutions into applications/ systems are referred to as cloud-based AI.
For developers, global public cloud providers (such as Amazon Web Services, Microsoft Azure, or Google Cloud) offer a vast collection of AI services and tools. They make use of them for a number of purposes, including:
- Improve voice and image recognition
- Custom-train machine-learning models
- Big data sets to parse
Benefits of Cloud-based AI
In the world of business, cloud-based AI systems aid in improved performance, competitiveness, cost savings, and better strategic insights. AI tool helps in delivering more value to the existing cloud computing platforms. For instance, SAAS (Software-as-a-service) providers, incorporates AI technologies into broader software platforms.
These tools are designed to collect customer information, such as monitoring users or personalizing communications. Some methods assist companies in identifying trends in how consumers communicate with their brands. We may enhance future experiences to fulfil expectations by having a clearer understanding of the processes that underpin particular behavior. What is the result? We will improve end-user functionality.
Using Cloud-based AI solutions can be game-changing for businesses to move if they need to effectively handle vast volumes of data and make the most of it.
- You won’t have to think about setting up and maintaining the infrastructure to host AI applications.
- Have immediate access to pre-baked settings, Machine Learning models, and AI-relevant data owned by others.
- When the team lacks in-house AI experts, turn to cloud solutions.
- Save time and money that could be used in other areas.
Opportunities for now and the future with Cloud-based AI
We may expect future technologies to exceed our highest imaginations as AI applications and Cloud solutions grow at a rapid speed. Let’s take a look at a couple of the most useful ones:
- Improved data management
- AI-powered self-managing cloud
- APIs for cognitive computing, virtual assistants, and the Internet of Things
- AI-powered retail service on the cloud
Introducing Cloud-based AI technologies into your company necessitates awareness, technical assistance, and a well-thought-out plan.