Finally, the rise of artificial intelligence (AI) and the development of cloud computing have taken place together. AI in the cloud helps accelerate digital transformation in businesses while enhancing cloud performance and efficiency.
Cloud computing environments with AI capabilities are essential for increasing flexibility, agility, and cost savings while also enhancing corporate operations’ efficiency, strategy, and insight-drivenness.
How AI is Affecting Cloud Computing?
AI approaches are used on current cloud computing platforms to add value. To give users more functionality, SaaS (Software-as-a-Service) providers integrate AI technologies into larger software packages.
There is no denying that AI and cloud computing has enhanced innumerable lives. People use digital assistants like Siri, Google Home, and Amazon’s Alexa on a daily basis. These assistants enable simple spoken commands that, among other things, can buy an item, change the temperature in a smart home, or play music on a connected speaker.
Many users are not aware of the technological aspect and connectivity of this feature. Many people have no idea that intuitive experiences are made possible by a specialized combination of two technology domains: artificial intelligence and cloud computing.
AI capabilities assist businesses in becoming more efficient, strategic, and insight-driven in the business cloud computing environment. When data and applications are hosted in the cloud, businesses gain flexibility, agility, and cost savings.
AI and cloud computing today allow organizations to manage data, discover patterns and insights in data, generate customer experiences, and improve workflows.
Here are some particular examples of how AI is influencing cloud computing:
Using AI to Power a Self-Managing Cloud
AI is being integrated into IT infrastructure to provide smooth workloads and to automate repetitive tasks. Some experts anticipate that as AI becomes more complicated, private and public cloud use cases will increasingly rely on these technologies to monitor and manage their instances, and even “self-heal” when a problem arises.
AI can be used to automate critical operations at first, and then, with the growth of analytical capacities, it can be used to create superior processes that are mostly self-contained. System-assisted management of routine activities helps IT teams achieve the benefits of cloud computing while freeing up time for higher-value strategic initiatives.
Taking Advantage of Dynamic Cloud Services
Artificial intelligence as a service is also influencing how organizations use their technologies.
Consider a cloud-based retail module that can assist firms in selling their products with convenience. Furthermore, the module includes a pricing tool that allows you to automatically change the price of a product based on parameters like:
- Inventory levels
- Competition sales
- Market trends
This AI-powered pricing module optimizes a company’s pricing. It is not just about better data utilization; it is also about assessing and acting on it with little if any, human intervention.
Using Artificial Intelligence to Improve Data Management
Cloud AI tools help with data management as well. Today’s enterprises generate and collect large volumes of data, which includes tasks such as recognizing data, ingesting it, classifying it, and managing it through time.
In cloud computing environments, current AI techniques are used to assist with certain portions of the data processing cycle. Even the smallest financial institution, for example, may be expected to assess thousands of transactions on a daily basis.
In this regard, AI technology can help financial institutions provide more accurate real-time data to their clients. The same strategy can contribute to the detection of fraud or other risks. Therefore, it is possible to improve marketing, customer service, and supply chain data management.
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Author: Sana Ghani
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