Cloud Computing And Artificial Intelligence
Artificial intelligence is one of the buzzwords in technology today. You may have heard it used in the context of cloud computing as well. But what is the link of cloud artificial intelligence? How do cloud providers use artificial intelligence to enhance their services? And what is the state of artificial intelligence in the cloud? Read on to find more about the wealth of possibilities that cloud artificial intelligence are making possible.
Why Cloud Artificial Intelligence
AI requires computing resources and often needs to process a lot of data to learn and get smarter. The cloud makes possible the on-demand availability of computing resources including computing power and data storage—exactly what AI needs to grow and develop.
By making computing resources readily available, cloud computing can support AI while at the same time benefiting from the capabilities of AI to become safer, smarter, and more reliable.
Examples of Cloud Artificial Intelligence
Another example of cloud artificial intelligence comes in the form of AI infrastructure for cloud computing. Using subsets of AI such as machine learning (ML) to generate ML models, AI can harness the computing power of the cloud to apply these models to large sets of data.
Practical applications include identifying sensitive data, diagnosing diseases based on patient scans and other data, unearthing financial patterns, and more.
ML models get smarter and more accurate the more data they handle. But they require significant computing power and storage space is often beyond what an onsite data center can provide at a reasonable cost.
Cloud computing with its scalability, quick deployment, and cost efficiency can power AI infrastructures that banks, hospitals, the government, and other companies and organizations can use on a large scale.
What Are the Benefits of Cloud Computing and Artificial Intelligence?
Now let’s turn to the key benefits that these two technologies can provide.
- Unlimited Growth – Cloud computing can provide the necessary computing power and infrastructure required to run AI systems on a large scale. When it’s in the cloud, AI can continue to grow without facing any storage or computing limit.
- Easy Deployment – Organizations interested in AI can deploy AI systems through the cloud faster and with less technical expertise. They can focus on their business goals rather than the technical challenges of setting up such a system, which cloud providers can handle for them.
- Greater Reliability – By having AI systems in the cloud, organizations can mitigate the risk of hardware and software failure since these systems are managed by extended teams of experts and hosted across multiple data centers in different locations. The cloud also speeds up and simplifies regular data backups and disaster recovery strategies.
- Greater Accessibility – Cloud computing makes the adoption of many AI solutions a more straightforward process. Organizations who may be on the fence about AI can test it out in the cloud without the initial investment that an on-premise AI setup would require.
Final Thoughts
Cloud computing and artificial intelligence are on many people’s minds, and for good reason—by bringing together two of the most powerful and exciting technologies available today, they can have a transformative effect on many industries. The great thing about cloud computing and AI is that they can be adapted to virtually any industry. It seems then only a question of time before most large organizations embrace cloud computing and AI in one form or another.