The companies of the future are those thati will grasp and mastert the issues of the Cloud and and theIA.
Until now, the combination of artificial intelligence with Cloud wast reserved for to very large companies.s. Howevers, the Cloud providers are becoming more and more numerous.rthem to enable the deployment of AI projects projects adapted to the size and the maturity of theirs customers.
At the same time, both markets are experiencing unprecedented growth: by 2025, the global AI market is expected to reach $60 billion and the Cloud 1.25 trillion (source: Balance Sheet). This expected growth can be explained in particular by the democratization of Cloud" as-a-Service ".
The trend is therefore clear: lprojectss AI projects within Che use of AI in IT architectures is becoming more and more common. If your organization has not yet established a project in this direction, it is high time to think about the added value that AI could bring to your Cloud.
The Cloud and AI "at the service" of data
Lhe projects data-driven ne are not a a fad but an obligation for any organization that wishes to survive. Lhe exploitation ofs data becomes the solution to everything : it allows better managementmanagement, more precise strategic decisions or even a control control control of information systems.
Howeverthe use of this data loses its potential if it is not used to'is not coupled with to a Cloud performance. Indeed, l'accessibility, speed and connectivity offered by the cloud are all assets that allownt AI to develop its full value.
Spending in services from Cloud from the beginning of 2018 to the end of 2020 (source: Canalys)
The Cloud providers (AWS, Microsoft Azure, Google Cloud and others), which are already well established in this market segment for large organizations, are now adapting their offer for other sizes of companies (small and medium-sized businesses). So much so that today, services such as Microsoft Azure offer AI deployment in companies via service packages.
These solutions provide computing platforms on which they can deposit their data and algorithms. This configuration requires the company to have in-house data scientists and data analysts to develop the algorithms, train them (Machine Learning) and analyze the data. In this type of contract, the company keeps control of its data and models.
This means 2 things:
- it is a new opportunity to make the most of data and gain in competitiveness;
- it is an opportunity for the competition to become more competitive.
AI and Cloud : what is the interest of coupling them?
Permanent control over your data and the algorithm
The accessibility and flexibility offered by Cloud are now well recognized by all organizations, large and small. The next step, which will further increase the performance of the information system, is Artificial Intelligence. By integrating AI with a hybrid technology from Cloud , we automate the permanent and precise control of data. For example, the AI will feed on the data to optimize the flows, by moving them in the hybrid Cloud , to make them accessible without delay to the observed use.
Unclogging of your storage tools
Artificial Intelligence can also optimize data storage capacity. Processing spaces are automatically freed from unused or already processed data, which can be stored on less greedy spaces. Machine Learning will allow to anticipate the need of access and storage capacity necessary to host new flows.
Reduced costs
One can oppose the development of AI with the fact that it is itself space-hungry. It is indeed difficult to predict the amount of storage space needed when embarking on an AI project. But Cloud allows you to invest in a consistent and scalable storage space according to your needs and to adjust it in near real time. This avoids investing in "hard" storage and realizing in the medium term that we have aimed too high (and too expensive). Savings that can then be allocated to the development of AI, and therefore of the value derived from data.
A synergy that applies to all areas of activity
The Cloud has penetrated all sectors, and AI is being democratized for all sizes of companies, as we have seen. This synergy between Cloud and AI is particularly strategic in one sector: banking and insurance.
The banking and insurance sector
In banking, a few milliseconds saved on a calculation can turn a market on its head. Finance continues to undergo its transformation and must adapt to new services, the Blockchain, and increased flows. The banking sector must therefore invest in innovative technologies such as AI or data science, to keep pace. To accompany this transformation, Cloud is essential, as it is the only place where the amount of data can be processed.
AI is also used in this sector to improve the customer experience and anticipate needs. Take the example of chatbots: companies in the banking and insurance sector that have integrated AI to develop a conversational agent see a 13% increase in revenue per customer and a 13% decrease in operating costs (source: The Digital Factory).
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