Nearly every industry has been affected by the advent of the Internet, and it is no different with machine learning (ML) and artificial intelligence (AI). ML and AI have both impacted the way we interact with devices. Be it travel and telecom to machinery and marketing, AI and ML are changing the way things have been conducted.
From development in translation technology and app marketing strategies, here are some ways in which artificial intelligence has changed smartphone technology in recent years.
Enhancing Search Engines
Machine learning and artificial intelligence have added a new way to browse through search engines and conduct searches – images and voice recognition. With the help of AI and ML, it is also possible to provide app localization, which can help to increase conversion rate. In fact, it is compulsory for android developers to develop a voice recognition system and image recognition system due to this integration.
Improved smartphone cameras
One of the best-known changes that AI has brought into mobile technology is the improvement in camera interface. It is one of the most important areas in which phone manufacturers and app developers are working on.
Recent trend on big, powerful cameras on smartphones has been made possible only due to AI and ML. It is now possible for a smartphone to detect subjects like fireworks, food, landscapes, etc.on camera frame only due to AI.
Even facial recognition technology and portrait image mode are a direct result of integration of machine learning and artificial intelligence.
Real-Time Languages Translation
Due to ML and AI, phones and tablets can become capable of translating different languages in real-time without a working internet connection. In fact, there are a number of apps backed by powerful Huawei Kirin 980 processor, which is the world’s first 7nm processor in a smartphone. These can help users to translate any text with the help of images and in-app assistance. Google Lens is a great example of such apps that allow users to copy text via images.
While most of these apps require the internet to analyze and translate the given information, with a few advancements in this integration, it will be possible to add select languages to phones in the manufacturing phase itself along with the required directories.
Face Unlock to Power More Smartphones
As mentioned before, facial recognition technology has been made possible only due to artificial intelligence and machine learning. Before launching iPhone X in 2017, Apple used AI and ML-based algorithms to power this system, which has now become a common feature in nearly all new smartphones, namely, iPhone 11 Pro and Pro Max.
Also, this face recognition tech is used by apps like Snapchat and trending FaceApp which recognise and modify the face of users after identifying features on camera frame. Today, there have been enough developments that smartphones can now identify facial features even with changes like lack of beard or presence of spectacles.
Increased Security
Even in terms of cybersecurity, data theft, and fraudulent transactions, AI and ML can play a vital role. As we head to a world with more and more gadgets with faster connectivity, security concerns have also risen. Data security, especially, requires a lot of focus. Google recently removed several apps from its Play Store that did not meet its security standards.
Thus, app security is one of the biggest concerns for any Android developer. Such concerns are worked on and have produced significant results with the help of AI and ML. Users are sent alerts whenever a possible vulnerability or threat is found on their phone, or accounts in case of Google, since user behavior is mapped and analyzed.
Development of App Marketing Strategies
Marketers usually rely on industry trends and studies to chalk out their branding and marketing strategies. This means collecting and studying huge data sets both online and offline. This is not only a tough and tedious job, but also is subject to change frequently. AI and ML can help derive data through the activity of smartphone users. This means that analysis and inference of any data set, along with purchase patterns and history of the user, can be done more efficiently.
According to Statista.com, by 2020, almost 30% of businesses worldwide will shift to AI to design marketing strategies to increase their sales. AI and ML will also influence the decisions that companies will take regarding user engagement.
Conclusion
Smartphone experience has been enhanced in an unforeseen manner due to AI and ML. Both iOS and Android platforms have integrated these technologies to produce extremely popular features like FaceID. Also, in terms of marketing, AI is helping businesses reach new milestones through the accumulation of information and precise analysis. And, while there have been enough developments, many more are to come in the future.
