In 2017, the global machine learning market was estimated to value around $1.58b which is expected to touch $20.83b in 2024 (according to MRFR Analysis). This is just a statistical indication of how Machine Learning and consequently Artificial Intelligence is rapidly changing the face of app usage and development. Predictive search, on-point advertisements and in-depth user analysis are some of the prime reasons why machine learning in app development is becoming so important nowadays.
As the need for smarter mobile centric solutions rise, embedding apps with ML and AI helps businesses to cut the clutter and expand their profits significantly. Machine Learning has the scope to bring a universal solution to web problems. The algorithms involved continuously evolve to help the end user get a better experience. Currently, almost all apps that users are using have some element of Machine Learning in them (which are running in the background). Machine Learning’s Scope in App Development The purview of Machine Learning is improving personalization. Unfortunately there still exists a gap between supposed personalization and actual personalization. Launching an app is not enough in today’s world. It is important that the app continuously tracks user habits and evolves with the changing needs of the user. The idea of machine learning in application development must be to narrow the gap between actual user experience and scope for further improvement. There is no doubt that machine learning is used in numerous spectra. It is mainly used in –
Expanding the Scope of Logical App Development The purpose of AI app development and machine learning is to develop apps that perform logically. But developing a logical app isn’t as easy as it sound. Developers must understand different patterns and trends, invest their time and effort, improve their coding skills to develop a logical app. Whether it is adding newer features after the launch of the app to making function as per user preference, the path to developing a logical app is only possible through machine learning and artificial intelligence. If you are looking for rapid AI and ML development of your app, it is important you partner with a company that helps you throughout – right from ideation to completion. There are many companies which offer not only data annotation services but also model building, ML Operationalization and AI application development services. Get in touch with such companies to realize your AI and ML goals. Summary – In this article we talk about machine learning in app development. The article explores how ML and AI can improve user experience.
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