AI in mobile tech world

This is the era of the fourth industrial revolution where technology without artificial intelligence (AI) is unimaginable. With the global acceptance of AI, it has encompassed all spheres, touching human life in several ways that also includes the mobile tech world. Research indicates that AI is rapidly gaining popularity, tech giants like Baidu and Google have already spent between $20 to $30 billion on AI to improve IT operations. Segments like healthcare, education, finance and IT ops are investing heavily in AI, however the prominence of AI in mobile tech world deserves a special mention.

Importance of AI in mobile app

The focus of AI is to develop intelligent machines that think, work and learn from experiences like humans. When AI joined hands with machine learning, the ability to analyze visual inputs such as gesture, object, and facial recognition was made seamless. For example, an iPhone app powered by AI can enhance perception, apply reason and even solve problems.  

Deployment of AI in mobile app

AI uses the modest process of trial and error to learn about a solution when it comes to developing mobile app. Through this method, various attempts are made to locate the appropriate solution. Then that solution is stored for future usage, considering it as a reference point for similar circumstances. Along with the solution, the mobile app developers are also focusing on drawing appropriate inferences to enhance the interaction process. This helps users reach predefined solutions addressing various device problems.

Example of AI apps

The following are the existing apps that provides an enriched user experience:

  • Replika is an advanced AI app for iPhone that covers several aspects of a user’s life. This app can have conversations with the user like a real person.
  • App Airpoly can identify three objects in a single second.
  • Cortana can assess relevant information, sort them and deliver services efficiently like scheduling meetings, sending emails, tracking events, sharing updates and reminders.
  • Personal assistant like Siri became popular with its voice interface in place. It assists in phone and text actions, can provide information about weather and currency, schedule events, set reminders and provides an engaging experience.
  • My Starbucks Barista mobile app enabled customers to place their orders by mentioning it to the app.
  • Taco Bot launched by Taco Bell recommended personalized menu considering user-specific purchase trends.

Technologies empowering apps

In order to create apps empowered with AI, developers ensure they choose an appropriate platform and install features keeping the end user preferences in mind. The technologies that improve app performance and competitiveness include:

  1. Speech to text (STT) and text to speech (TTS) engine that converts voice to text message and vice versa.
  2. Tagging helps the app analyze users’ requirement.
  3. Noise reduction engine eliminates white noise improving voice command capacity.
  4. Voice biometrics and recognition works as an authentication for refining security.

Impact of AI on app competitiveness

Innovation has led end users expect better performance from mobile apps. Retail giants like eBay and Amazon have already proved the worth of AI in mobile apps. AI-enabled apps engage its user and strategically secure the brand, enhancing productivity and helps reduce errors. The algorithms present will adjust the app and forms more meaningful and context-rich prospects to keep end-users engaged. AI-aided chatbots on mobile devices use standard messaging tools and voice-activated interfaces, this reduces data collection time and simplifies the task. Also, user specific personalization will help with mundane or repeatable tasks. It even has a great impact in healthcare industry where reliability, predictability, consistency, quality and patient safety has seen improvements with the usage of AI-enabled apps.

AI in app market based on geography

The following geographical areas indicate extensive impact of AI on mobile app:

  • North America
  • South America
  • Europe
  • Asia Pacific
  • Middle East and Africa 

Conclusion

We can conclude that AI has a dramatic impact on transformation and competitiveness of mobile app. As per market research, this competition is yet to increase by 2020 since more organizations globally are investing in AI for revenue improvements and cost reductions. The deployment rates among different industry verticals have surged exponentially over the fast few years.