The rate at which AI is expanding is gaining momentum. The study determined that AI expansion brought about three times as much investment in 2016 – nearly $40 billion – as it did only three years ago. Business sectors like healthcare, education, and finance are investing in AI, but mobile is one of the most promising areas for AI.
Today, mobile applications are using AI to drastically improve user satisfaction. Here is the explanation of how AI is helping in mobile app development:
1. AI adapts through progressive learning algorithms:
To let the data do the programming. AI finds structure and regularities in data so that the algorithm acquires a skill. The algorithm becomes a classifier or a predictor. So, just as the algorithm can teach itself how to play chess, it can teach itself what product to recommend next online. And the models adapt when given new data. Backpropagation is an AI technique that allows the model to adjust, through training and added data, when the first answer is not quite right.
2. AI gets the most out of data:
When algorithms are self-learning, the data itself can become intellectual property. The answers are in the data; you just have to apply AI to get them out. Since the role of the data is now more important than ever before, it can create a competitive advantage. If you have the best data in a competitive industry, even if everyone is applying similar techniques, the best data will win.
3. AI Helps to automate reasoning capacity of apps:
With the help of AI-based apps, reasoning or finding solutions becomes easy. For example, Al-based apps like Uber uses it automated reasoning capacity to find riders in the desired destination. It takes data from over a million other drivers to optimize the route and learn from their trips.
4. Product recommendation:
Machine learning is routinely used to provide users with relevant information about their pursuits in e-commerce apps, video streaming channels, social media platforms, and so on. The intelligent agents analyze a plethora of information pertinent to the user’s purchase pattern, history of buying and personal preferences to recommend the most relevant products.
The e-commerce giant, Amazon, uses AI and machine learning to evaluate a customer’s entire buying journey, website navigational trails and product click-through rates. The comprehensive log analysis allows the app to suggest additional products to the consumer based on its algorithmic findings.
Similarly, Netflix analyzes data generated by three primary sources; your preference list, what you watch over time, and the most trending videos. The recommendation engine then predicts what you are most likely to view and prompts you about it.
5. AI helps in making mobile apps more user-friendly:
Increased internet accessibility and ease of posting and sharing have resulted in a barrage of content on social media platforms. Machine learning and social media algorithms analyze each user’s engagement and general sentiments towards every post to determine what is most attractive to them. Social apps filter and optimize the user news feeds with contents most likely to evoke a reaction and generate a response.
What is an Intelligent App? How it is relevant to AI?
Intelligent apps are those apps that clearly understand the “Why” behind “What”. Data analysis and machine learning are considered the cornerstone of the intelligent app ecosystem. AI offers flexibility by coherently interfacing with REST APIs to increase the chances of using and re-using ML algorithms and learning services” says Vasile Tiplea of Creative27. E-commerce, Healthcare, Social networking, Games industry are heavily using AI these days Other than e-commerce and business applications, artificial intelligence is also making our lives much easier in our homes as the backbone of automated devices. The home automation niche is booming as homeowners look to buy devices that make their life more enjoyable, comfortable and safe.
Most of the large companies and startups have gotten wind of this trend and are now investing in AI technology in their Android and iPhone app development services. The AI-powered app combined with home smart gadgets are playing a crucial role in colonizing a large market share for the involved companies. The entry of AI-based smart services like Google Assistant, Amazon Alexa, and Apple Siri in the market is acting as a catalyst for apps that wish to capitalize on the AI technology potential.
The benefits and the positive impact of Artificial intelligence in mobile app development is far-reaching and wider beyond the business and home environment. It’s by no surprise that a majority of businesses are now investing in developing intelligent apps. AI is clearly the future of mobile app development as it quickly changes the way developers code apps and how consumers interact with products and services.