Artificial Intelligence (AI) and Machine Learning (ML) are new technologies that are immensely growing at a rapidly fast rate. Implementation of these technologies allows for innovation and a competitive advantage over competitors, which every business desires! One beneficial use of AI/ML is implementing these technologies into your mobile app. Many companies have already been taking advantage of the many benefits AI and ML can provide to their apps.
Keep reading to understand these technologies and how they can benefit you and your app.
First things first, what is AI and ML?
There are various definitions of AI and ML, some which are quite complex; to put things into simpler terms AI can be understood as the incorporation of human intelligence into machines. Whereas machine learning is essentially a subset of AI; the idea is to teach machines how to make decisions and predictions based on provided data and algorithms.
AI and ML allows for a more seamless user experience for mobile applications. For example:
- Problem solving: Allows for problems to be solved quickly (eg. directional apps providing alternative routes due to disruptions.)
- Search Engines: Enhances search engines in your app to produce better results for your users, saving them time by prioritising relevant results.
- Engagement: Provides engaging content for your users, making your app more fun and entertaining to use.
For your customer: A concern with new technologies is security. However, AI and ML can actually add extra security for your consumers. Secure app authentications and verification can be set up for your app in ways such as fingerprints and facial recognition. This is especially important for any apps with sensitive information such as banking applications. Giving your customers a sense of privacy and security is a crucial part of obtaining a loyal user base.
For you: Fraud is a significant worry for any business. Machine learning can help alleviate this concern by analysing data for various frauds such as credit card fraud. One less thing to worry about!
- Behavioural: Learn how users behave to understand consumer behaviour and improve security by detecting any unusual activity.
- Recommendation: Focus on personalisation and customer experience.
- Reasoning: Take advantage of AI’s “thinking” capacities and use it to find solutions to real time problems quickly and efficiently.