Artificial intelligence applied to the cloud
Among the many benefits that the cloud offers us, the integration with Artificial Intelligence It is perhaps one of the solutions that provides us with the greatest agility when it comes to optimising a company's internal processes. Its use has become so widespread that it is now part of various sectors such as public administration, healthcare, transport, IT, etc.
If you find this topic interesting, we invite you to download our free Ebook «How to migrate to Amazon Web Services?«
A bolder cloud
How? The AI algorithms can be used to optimize the resource allocation in a cloud environment, such as automatically increasing or decreasing the number of virtual machines based on demand. This can help reduce costs and improve application performance.
Another way cloud and AI are present is in the security, of cloud environments. For example, their algorithms can be used to detect and respond to threats to real-time security, for example by identifying and blocking malicious traffic.
And if we talk about data, a crucial topic for digitalization, it is also being used to analyze large data sets stored in the cloud and extract information, helping organizations make better data-driven decisions and optimize their operations.
Cloud and AI for multimedia content analysis and text processing
In fact, cloud and AI-based services are becoming increasingly popular as they allow us to Analyze in detail the information from various sources, organize them and give us insights powerful over our users, customers or internal/external processes.
For this reason, cloud providers such as AWS, already offer pre-built models and services for tasks such as image recognition, natural language processing, and predictive analytics.
These platforms can be easily integrated with other services such as storage and management to process large data sets for tasks such as anomaly detection, Predictive Maintenance and the behavioral analysis of the clients.
We can use this technology to extract information from unstructured data (customer reviews, social media posts, and emails). As well as for tasks such as data analysis, feelings or topic modeling.
Data classification and recognition
As to multimedia data processing, we already have solutions for various tasks such as Object detection, facial recognition and speech-to-text conversionAt apser, we have worked with clients in the education sector who already integrate technologies for image recognition in order to classify them automatically. These are quite useful for tasks such as Image search, course/workshop recommendations and content moderation.
Another example is the use of cloud-based speech-to-text services for transcribe and translate audio. Mostly applied to tasks such as voice search, Customer service and accessibility.
Solutions like Amazon Transcribe, for audio to text conversion, or Amazon Understand For text analysis, key phrases, sentiment, themes and their classification are some of the alternatives to improve customer experience, obtain better results and identify valuable data chains for the business.
Do you want to harness the power of the cloud and artificial intelligence? Contact us to study your project. We will create a roadmap to deploy the solution that best suits your objectives.
