Cutting edge mobile apps are not a novelty anymore, they have almost become the norm. Users today are flooded with an embarrassment of choices, and mobile app developers have their work cut out as users become more tech savvy and discerning. Technological advancements are radically transforming iOS mobile app development, and machine learning, is leading the charge. ML enables app developers to craft intelligent apps which provide a wonderful customer experiencing by ‘learning’ their behavior, like their preferences, payment methods, etc., and offering them relevant content. Some impact of machine learning on app development are given below:
Personalized Experience
Through an app’s machine learning capability, a business can get vital information like target audience, and the buyer profile: their purchase capacity, needs, likes, dislikes, fears, phrases or keywords used for searching on mobile apps, and so on. This helps businesses to cater to the needs of their customers much more efficiently, and also helps them engage and interact with them constantly.
Better Search Results
As machine learning helps app to understand customer behavior and pattern, they ensure the most relevant search results are displayed. This means providing tailored and improved customer service. The apps obtain information on customer preference through cognitive technology, which categorizes customer searches, queries, content they consume, etc., and prioritize results for each customer.
Providing Recommendations
ML ‘learns’ user behavior and gathers information on the customer, and this facilitates appropriate recommendations by the app. Factors considered to provide these recommendations include age, sex, geo-location, usage patterns, search queries, etc.
Enhanced Security
Facial recognition, fingerprint identification, optimizing logistics, managing wallets, estimating shipping costs, business intelligence, and so on, are some of the methods used by iOS mobile app development companies to enhance security. ML helps protect apps from potential threats and attacks in real-time. Further, machine learning allows users to login to their customer accounts on websites in a highly secure manner. On-device machine learning also provides decentralization, very similar to blockchain, making it almost impossible for hackers to launch a DDoS attack to bring down a network of connected devices.
Low Latency
Many features require low latency so that the best results are delivered; often, high latency causes problems like out-of-sync audio-video, image filters in social media, dining recommendations, and so on. Machine learning on-device, however, can help reduce latency and provide better app performance. With machine learning kits, app developers can build iOS applications that have the capacity to process data at blitz speeds, providing a seamless, near-zero latency experience.
Reduce Dependency on Internet
Thanks to machine learning, neural networks reside on the devices; in areas of poor internet connectivity, this can facilitate app deployment even when there is no connectivity; users will also be able to connect to their apps without internet.
There’s no doubt that on-device machine learning offers immense potential to iOS mobile app development companies to crate apps that offer customers exciting experiences. It seems that machine learning is here to stay and will continue to impact the future of mobile app development for some years to come.
