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V-Soft's Corporate Headquarters

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How AI is Impacting the Mobile Apps Industry

Developers working on developing Mobile apps with Artificial Intelligence capabilities

Every business in nearly every industry is trying to figure out how to leverage Artificial Intelligence to meet their business goals. Mobile applications industry is no exception for this. With the rise of smart applications (like Alexa and Cortana) and technologies (such as IoT), all mobile application need to be smart enough to serve the need. Artificial Intelligence plays a large role in transforming mobile apps to become smarter.

For What Reasons Industries Look Out for AI

Reasons Mobile Apps Industries Look Out For AI-1

Artificial Intelligence is Changing the Game for Mobile Apps

Mobile Artificial Intelligence (AI) Market worth $17.83 billion by 2023 "

MarketsandMarkets

The rise in smartphones usage has accelerated the demand for mobile apps. At the same time, people look for good user experience. Smart features on mobile apps have elevated the significance of mobile apps and in turn intensified the enterprise's scaling up capabilities; while ensuring superior user experience and engagement.

Moreover, the rise of smart technologies like IoT, smart wearables (like fitness trackers, smart watches) Augmented Reality (AR), Big Data and Cloud Technology, necessitated the mobile apps to become smarter with Artificial Intelligence. These smart devices stream-in huge torrents of a wide variety of data. Here, the challenge lies in demarcating the huge chunks of data, understanding the data patterns, tracing out relationships among this data and deriving meaningful insights. It's nearly impossible for data scientist to manually extract this data and produce meaningful insights without the help of Artificial Intelligence. 

The AI enabled mobile apps act rationally in gathering, processing, and extracting deep analytics data. This intelligent information is the core of the decision-making process. This info helps businesses precisely predict consumer behavior patterns and reframe strategies to meet demand and cater to future-proof solutions.

In the era of “Experience-as-a-service economy” and conversational commerce, users don't want content (ads, updates, promo content) forcibly pushed on them. That's why most apps fail. AI-driven mobile apps use predictive intelligence to predict user behavior and caters the content or makes recommendations accordingly. This is what YouTube does to make it easy for users to search for content. Some of the fully AI driven intelligent mobile apps are even going to the extent of reorganizing app menus in line with user behavior.

With the rise of chatbots offering on-demand content, having a chatbot within a mobile app enables the app to offer the same on demand service. This adoption allows businesses to serve users better because mobile apps and Chatbots compliment each other. This step is a game changer boosting the market value of mobile apps to a much higher level.

The Artificial Intelligence disruption in mobile applications industry is very high at that moment. Even mobile device manufacturers are working to build devoted hardware to leverage the best AI capabilities. Google’s TPU (Tensor Processing Unit) is one of the best examples.

Interested in setting up AI application on Android and iOS Platforms, click here.

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Topics: Technology, Mobile Apps, Chatbots, Mobile, AI

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