Popular use cases for AI/ML in mobile apps include

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View from India: Integration with AI, IoT and Cloud to Shape Mobile Computing Growth
24.11.2022
The evolution of mobile computing in the coming years will be shaped by disruptive technologies such as artificial intelligence, machine learning, the Internet of Things (IoT) and cloud computing, writes Kaushik Pal, founder of Indian consulting firm TechAlpine , on Techopedia .

Mobile apps are part of our everyday lives – we can no longer imagine ourselves without our smartphones. Due to this omnipresence, mobile apps are rapidly evolving. With the integration of new technologies such as AI and ML, IoT and cloud computing, mobile apps are becoming even more powerful.

Here are 12 mobile computing trends to watch:

1. IoT Mobile Applications
The Internet of Things is becoming very popular in industries such as oil and gas, manufacturing, healthcare, and agriculture. Essentially, IoT is a network of internet-connected objects that can exchange data. All these interconnected objects/devices have unique identifiers to communicate with each other.

The revolution in this field has led to the development of IoT-enabled mobile apps that can connect and control devices such as air conditioners, refrigerators, home security devices, and many more. These IoT apps are also capable of controlling wearable devices, gas networks, traffic sensors, and autonomous cars.

IoT-enabled mobile applications are rapidly benin mobile database and making our lives more connected.

2. Mobile applications with artificial intelligence
The introduction of AI into mobile applications has been going on since around 2017. Voice assistants are already integrated into many mobile applications.


voice recognition;
virtual assistants;
chatbots;
surveillance systems;
recommender systems;
medical diagnostics.
The mobile computing industry is increasingly focusing on AI and ML-based applications to stay competitive.

3. Mobile cloud computing