The Marriage of AI and Cloud Computing

With a higher level of intelligence, the internet today is about machines talking to machines. Computers, equipped with semantics plus the ability to solve complex semantic optimisation problems, provide users with more productive and more relevant experiences. The experience emerges necessarily to an attractive enterprise platform.

Artificial Intelligence

Today, there is no industry where the usage of Artificial Intelligence is a foreign concept. From finance to healthcare to agriculture and education, AI is moulding the world with a better quality of life. AI is driving positive change — the overall expenditure on AI frameworks and intellectuals is stated to increment at an annual rate of 50.1% in the next three years. The global cloud computing markets derive maximum gains in the process.

Cloud Computing

Cloud Computing allows any part of the technology stack to be on the Internet. It ultimately offers a more flexible, better accessible model that aligns better with most business objectives. All in all, with the new semantic Web as a platform, mobile devices as doorway and Cloud Computing as a Fast train, the future trend in information technology calls for players to join the game and explore the broader markets.

AI + Cloud Computing

AI and cloud computing are two corners of trending topics.

The rise of the AI market through the years is predicted to be $60 billion by 2025. This rapid growing market was around $2.6 billion at the beginning of 2018.

Cloud Business, on the other hand, is getting a higher adoption and extremely fast. The quick adoption has resulted from concepts like “cloud-local”. For upcoming companies, with the provision to move to cloud infrastructure with a click of a button has enabled them to leap ahead of the legacy companies. The public cloud industry is also multiplying rapidly. Records indicate that it is worth $200 billion and is estimated to be worth over $1,250 billion by 2025.


How Cloud Computing Helps AI?

Without cloud computing and access to cloud-based systems, the present AI abilities are cumbersome. AI relies on ample storage of data. Data that are specially collected to make the necessary calculations. The raw power offered by cloud computing enables companies to collect the data, store in specific ways, processes it using algorithms, filter it and then break down into large extents for further computations.

AI framework syncs perfectly with the cloud in two different ways:

  1. The data sets, the organisations are utilising would not be accessible in multiple locations without the cloud. Today all devices, mobile, laptop etc can all access the same data.
  2. The computation power of the cloud can grant organisations to reach a higher number of customers at a reasonable expense but by providing the same services. With the cloud, the SaaS-based systems are prevalent.

Companies have built systems utilising a cloud-based cognitive computing system which uses vast amounts of datasets from various sources. AI in security systems is one such example, where the camera is used to detect any unruly person or incident. In this case, the system and the company utilise the maximum capacity of its cloud platform, including the GPU based processing and the storage but lets its services be accessible to all foundations who can use the power.


Companies have built systems utilising a cloud-based cognitive computing system which uses vast amounts of datasets from various sources. AI in security systems is one such example, where the camera is used to detect any unruly person or incident. In this case, the system and the company utilise the maximum capacity of its cloud platform, including the GPU based processing and the storage but lets its services be accessible to all foundations who can use the power.

For companies to prosper, the vested stake in AI is as essential as it is in cloud computing. It is an ongoing technical/development process considering the newness of AI and the innovation around it. Adoption of AI and cloud has improved with the accessibility of AI as the vital service along with the cloud stack.

In summary, Cloud and AI go hand in hand, from the management of the infrastructure to processing a massive chunk of data. Since the cloud bundle includes the necessary service, companies can save both time and energy. Companies need not to worry about the unstructured raw data necessary for AI as it can be taken care of by the cloud.

To a large extent, cloud computing employing AI is not a disruptive change. It is a milestone, however. Some organisations have seamlessly integrated with their existing frameworks and added AI investment rapidly. Through, in the next couple of years, we could see more adoption from businesses with cloud computing and AI jointly leading the race as forerunners.