Post by account_disabled on Dec 8, 2023 21:05:32 GMT -8
OCR AI Blog Blueberry Consultants What Are Intelligent Applications? Intelligent applications are those that make contextual predictions and smart decisions by combining large amounts of data through iterative processing and machine learning algorithms so that they learn to do a specific task or provide a highly personalised experience for users. Intelligent applications generally incorporate machine and deep learning algorithms into their everyday functionality to make the job of users easier for example in the form of mundane task automation or predictive capabilities and to help companies work smarter and make more intelligent decisions. Specific deep learning capabilities that are already widely used include natural language processing computer vision and speech recognition.
Intelligent apps have several typical features: They are data driven intelligent apps can process data from a variety of sources into useful information. They are contextual and relevant they allow better use of a device’s Email Marketing List capabilities to offer highly relevant knowledge and recommendations in real time. They are continuously adapting intelligent apps constantly adapt and boost their performance thanks to machine learning. They are action oriented they provide customised and actionable feedback by using predictive analytics to anticipate user behaviour.
They are multichannel they can be used across web native and mobile apps and Progressive Web Apps PWAs are increasingly the preferred way forward. Examples of intelligent software include: Conversational interfaces such as Amazon’s Alexa Apple’s Siri and Google Home. Although these apps are consumer oriented the use of speech recognition to interact with business software is an innovation that is starting to enter the BB world. Intelligent decision making — business intelligence software uses machine learning to remove some of the guesswork from critical business decisions. It also makes executive decisions more defensible and less prone to human error.
Intelligent apps have several typical features: They are data driven intelligent apps can process data from a variety of sources into useful information. They are contextual and relevant they allow better use of a device’s Email Marketing List capabilities to offer highly relevant knowledge and recommendations in real time. They are continuously adapting intelligent apps constantly adapt and boost their performance thanks to machine learning. They are action oriented they provide customised and actionable feedback by using predictive analytics to anticipate user behaviour.
They are multichannel they can be used across web native and mobile apps and Progressive Web Apps PWAs are increasingly the preferred way forward. Examples of intelligent software include: Conversational interfaces such as Amazon’s Alexa Apple’s Siri and Google Home. Although these apps are consumer oriented the use of speech recognition to interact with business software is an innovation that is starting to enter the BB world. Intelligent decision making — business intelligence software uses machine learning to remove some of the guesswork from critical business decisions. It also makes executive decisions more defensible and less prone to human error.
