According
to recent research done by GSMA Intelligence, more than 5 billion people around
the world have a mobile phone connection. Now, we cannot imagine our lives
without smartphones, which are progressively turning from convenient everyday
tools into complex things like medical devices. Many fortune five companies are
started focusing on building AI tools for mobile devices.
But
because of the serious deficit of mobile app developers in the AI industry, it is very
difficult to implement the potential of this technology. Many mobile app development
companies are started
working to address this issue with the latest solutions that allow mobile app
developers to archetype and valuate models quickly on mobile devices.
With
the cutting edge tools, mobile app developers with basic knowledge can use
Artificial Intelligence to add their models to the application and see the
output in real time.
According
to a survey, “the global market in AI will double within two years and reach
nearly 60 billion USD by 2025”. We are on the cusp of an AI explosion but
Enterprises are looking to AI for actionable business gains that can deliver
fruitful returns, but where should they start?
AI
is now mushrooming and it will create a revolution in IT industry and you can
be part of this if you strategize it well and integrate it well in mobile app
development and make it your USP while presenting your company to the clients.
Google is also highly encouraging AI and also released the AI based toolkit to
help the Android mobile app developers to build apps easily and smoothly.
Why
Artificial intelligence Will Go on Mobile App Development
From
smart chatbots to predictive analytics, the new advancements of AI are
precisely tailored for mobile app development. Here is a complete list of the
AI-based modification that businesses must start assimilating into their apps:
1. Face Detection
AI
made it possible for people to unlock their smartphones without tabbing with
the help of Deep Learning features with utmost accuracy. Face recognition is a
computer technology that not only identifies a human face but also presents the
function in different frames. Now all most, all mobile app development
companies started using Image Recognition (IR) technology in their
security-based apps to verify users by their faces. This will not only secure
the apps but also prevent confidential data from leakage. Mobile app developers
are now trying to implement this feature for processing credit card payments
just with a scan of face without needing to swipe a card.
2. AI Chatbots
AI
is filling the gap between customers and businesses. Chatbots are now becoming
the most prevailing choice for brands to offer exceptional conversational
experience to their customers. The AI Chatbots are not perfectly managing
multiple users simultaneously but also improve their query response with each
conversation. According to a study, around 94% of smartphone users think that
Chatbots provide them with the right ideal solutions to fulfill their
requirements with personalized products or services.
Another
study from Oracle revealed that “80% of businesses are expected to use bots by
the year 2020”. This research shows that AI chatbots are not going anywhere and
will transform the market in various positive ways.
3. Image and Voice Recognition
Artificial
Intelligence has standardized the search engine experience for users by
allowing them to google via not only text but also images and voice. Most
mobile app development companies and businesses will assimilate voice
recognition, app localization, and image recognition features into their mobile
app development to enhance the user experience as well as conversion rate.
4. Robust App Authentication
According
to research, most AI-based apps will be developed with parallel technologies
including Predictive Analysis and ML algorithms. In this way, businesses will
be able to collect user data via mobile devices, traffic sources and POS
machines, and then take decisions through the collected information using
algorithms to solve app security concerns, frauds, and other threats. This will
also enable them to find the latest trends and adjust their app to deliver
enrich personalized experiences. Such kind of mobile applications will analyze
the user behavior and alert them about any suspicious threats and breach
vulnerabilities.
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