“From $140.7 billion mobile app downloads globally in 2016 to $204 billion in 2019, the number of mobile app downloads shall reach $258 billion by the end of 2022.”
The dramatic increase in the usage of mobile apps by people around the globe signifies the magnum of the market, and the future of this growth heavily relies on AI & MI capabilities. While Artificial Intelligence has been around since the 1970s, it is just in recent years that we are finally starting to utilize its potential.
The paramount components of computer science today, AI & ML is genuinely enhancing the mobile app experience and delivering productive insights on customer behaviour. To understand their instrumental impact on app development and usage, it’s crucial to establish the differential roles of AI and ML.
Machine Learning, a subset of AI
A form of deep learning, Machine learning is where the machine acquires the ability to carry out tasks and derive new learnings from data without any direct human intervention. While ML is one of the cardinal parts, it’s still one component of AI.
AI is a computer system that can be characterized by its human-like thinking capacities, one that is capable of taking decisions.
In a nutshell, ML uses human-fed algorithms to read, process, and train on the data to generate a new input, one that can help in making logical decisions, without human involvement.
Alexa, Siri in interactive mobile assistants, Facebook & Twitter in social media, Spotify and Netflix in media streaming, etc. are all great examples of AI-reliable spaces.
Applications of AI & ML in mobile app development
The Gartner study suggests that to meet the ever-growing customer demands for personalized experiences, most technology giants will revamp their mobile apps with futuristic AI capabilities by the end of 2020.
Here are the three key areas in mobile apps where integrating AI & ML capabilities can prove revolutionary:
#1 Personalized Experiences
You must’ve noticed how your Facebook feed starts showing you the things that you have recently developed an interest in.
Well, it’s a classic example of personalized experiences. Integrating AI capabilities in your app development process can easily help businesses analyze their customer needs by sourcing the data from their internet interactions to offer unique individualistic experiences.
#2 Trend Analysis
Revenue generation through AI-focused big data and business analytics is expected to reach a whopping $260 billion by 2022.
Hence, if inculcated in the app development processes, ML-led data on customer behaviours, market predictions, etc., can help AI take big business decisions.
Automated Reasoning
Uber using automated reasoning to offer ride cost, the average time to reach the location, and optimizing the fastest routes for its users are all a part of the highly-robust AI of the app.
Creating problem-solving abilities by using logical reasoning algorithms to solve complex problems is the heart of AI’s reasoning capacity.
With the capabilities of imitating human intelligence and making logical inferences, this AI superpower can be a game-changer for the financial, gaming, and application sectors.
Conclusion
Seeing the profound growth of AI & ML across all fields, its dictatorship in the virtual world in the future is inevitable. Businesses that become allies of this supercharged computer science will certainly gain a competitive advantage.
