The full impact of the multiple advances of Artificial Intelligence (AI) may not be completely evident to most people today. Rapid progression in technology has led to giant advances in AI in a multitude of mobile apps, and its applications in the app development industry are becoming indispensable. Here, we’ll discuss all the ways AI is changing mobile app development, and which niches are affected.
Table of Content
- What Can Artificial Intelligence (AI) Do?
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AI and Machine Learning
ML is the most basic task AI does, but it’s not to be overlooked. Simply put, it’s the trial-and-error process of learning, based on feedback loops and past experience. Positive solutions from random problem solving are saved as correct and applied to any future instance. Rapid deployment of this problem-solving process and compiling a repository of right and wrong answers soon turns this simple task into a database of learned behavior. Having the right data pipeline is essential for a successful ML implementation.
Using reason and intuition may seem like a wholly human quality, but proper programming and powerful software actually gives AI the ability to make decisions with contextual factors. The concept of reasoning is typically split into two types: deductive (where observations lead to a hypothesis) and inductive (where a hypothesis leads to tested observations). This two-pronged method attacks problems from both angles, further informing the situation and letting the AI make intuitive decisions within the context of the issue.
Big Data in AI Technology
The ability to crunch big numbers pays lots of dividends. From past user engagement and behavior analysis to predict future patterns, AI answers the call with comprehensive data processing for every type of metric category. Advanced AI data management can be the difference when creating future strategies. If business intelligence is part of the programming, these metrics will be easy to read and implement.
AI in App Development: Various AI Mobile Uses
By going through the various ways Artificial Intelligence (AI) might either affect the app development process or become an integral feature in the operation of the mobile app, we can identify what AI technology might be most useful for you.
Chatbots & Virtual Assistants
AI has enabled these formerly basic pop-up avatars to evolve into incredibly effective and efficient assets for any website or mobile app User Experience. The more these digital entities can behave like actual human representatives, the more effective they’ll be in gathering the proper information needed to assist the user.
These advanced assistants feature prominently in the customer service and eCommerce sectors and are quickly gaining traction in the FinTech and MedTech sectors where they can cut costs by performing administrative tasks and answering questions.
Speech Recognition/Natural Language Processing
Voice-controlled software and speech recognition technology are becoming a part of daily interactions more and more. With all the advances in AI and Deep Learning, the ability to make this technology work in various devices is advancing. It’s moving far past functional and creates new opportunities. This software has started learning how to pick up verbal nuances, slang, and even emotion, both in what it hears and how it speaks back.
Natural Language Processing
Allows mobile apps to closely mimic voice patterns, and even start to incorporate sentiment analysis; the most advanced of these will infer emotions and attitudes, and converse in the appropriate way (i.e. apologetic, cheerful, etc.). This technology is not only highly engaging to the user; it also has the capacity to gather helpful information about user behavior and tendencies for future analysis, all while learning the rights and wrongs about spoken language and speech.
Business Intelligence and Analytics
Increasingly, businesses are using AI technologies to make major decisions without the chance for human error. Yes, a big part of this is crunching and reporting on massive amounts of data in a fraction of the time. But how businesses are using the data has changed quite rapidly.
We know about descriptive analytics, which is just a report of what the data collected shows. And we’ve started seeing the impact of predictive analytics, where this data is fed into algorithms to try to predict future business trends and movements.
The newest form of analytics is called prescriptive, which uses AI-powered technologies to dispense guidance and advice when faced with certain questions and problems. Basically, it provides the “why” in addition to the “what and when” those predictive analytics give, which allows big decision-makers to make the call definitively.
Other Uses of Artificial Intelligence
There are multiple other AI applications that are making a real difference in today’s mobile app development. Here’s a quick list.
FinTech apps can use AI mobile facial recognition for authentication, while other apps can track certain images and content throughout the Internet.
Personalized User Experience
Using AI, a mobile app can recommend all sorts of personalized items. Songs, retail items, or content can be pushed to the user based on their past behavior, age, geographic location, or other factors.
Finding top quality and fast translation services that are affordable is not an easy task. New neural AI technologies can provide ever-improving language translations, so you can offer your app to the global community. This can also apply to large amounts of textual content, which formerly may have needed human services to translate.
AI supplies power to the newest and best cybersecurity measures being developed today. For example, AI can detect fraud by instantly comparing a user’s data to past transaction patterns.
AI-based algorithms can scour every bit of written content your business owns -emails, reports, social media posts, etc. – and transcribe it in order to get a comprehensive data insight into how your business is operating.