We already discussed the introduction of AI PaaS. Now let take a look the moving from AI service toward the AI PaaS. AI-as-a-service is a predictable progress, but Artificial Intelligence (AI) is not as consistent as other services. AS-as-a-service aims to be a component, hidden in the background to give lengthened competence, optimization, and user interface progress.
AI technologies have get far-reaching recognition and are being enforce in healthcare, marketing, cybersecurity, and also other areas. Since AI is considered as resource-hungry technology, using AI may be pricey. This is why most organizations use AI as a Service offerings from cloud vendors to experiment with AI-based technologies.
Cloud vendors give AI as a Service for those who want to take advantage from AI technologies without giving too much money, time and effort on it. At first, Cloud Service Providers concentrated on different AI solutions meant for determine specific task such as processing and analyzing big data and processing specific types of data like image, video or language.
Nowadays, there’s a developing trend among AI service providers. They’re changing from offering a range of different services leveraging AI ability to perform to give full-scale AI platforms. This is where AI PaaS model come into the scene. For now, AI PaaS may look to be more like a trend rather than real offering, since the term has been around just for only coupe of years and the market is still developing.
Feel free to contact E-SPIN for your specific AI PaaS operation or project requirement, from AI PaaS infrastructure availability and performance monitoring, security testing to continuous protection, so we can assist you on the exact requirement in the packaged solutions that you may require for your operation or project needs.
