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Build Intelligent Mobile Apps With AI & Machine Learning

Published on 15 March 18
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Artificial Intelligence (AI) and Machine Learning (ML) have been around for a while now. App developers and marketers are incorporating AI and machine learning into their software and app development life cycles to facilitate smarter, more futuristic applications.
Build Intelligent Mobile Apps With AI & Machine Learning - Image 1
Today, technologies are evolving at an unprecedented pace and so are user expectations. Users no longer need just an aesthetically appealing, interactive and user-friendly apps. Their expectations have evolved beyond great app design, experience, and creativity. With that said, let’s discover how AI and machine learning will impact and transform the mobile app development space and its marketing fundamentals in 2018.

#1 - Product Recommendation:

Machine learning provides detailed insights to users on the kinds of apps and platforms they access and so on. The machine learning-based apps comply and evaluate massive chunks of information related to user’s in-app behavior, usage pattern, order history, personal preferences, and more while recommending valuable content and products specific to their interest.
Amazon is one of the best examples of implementing machine learning for eCommerce. This e-retail giant leverages AI and machine learning to analyze customer-related information and suggests products to customers using its algorithm findings. Likewise, Netflix, a popular video-streaming app, aggregates data including users’ preference list, web series, and videos watched, as well as the most trending videos. Its recommendation engine then evaluates the data and recommends videos you will likely be interested in watching.

#2 - Content Optimization:

Social networking sites have encouraged increased internet accessibility alongside ease of posting and sharing content. Machine learning and AI-based platforms or algorithms analyze each social media user’s dynamics, engagement and generic sentiments towards every post to identify their areas of interest. Thereafter, the social apps filter and optimize the news feed for users with content that’s most likely to evoke an action or reaction.
The social media biggies like Facebook, Twitter, and Instagram combine the power of AI and linguistic rule creations to facilitate the most valuable content to their users.

#3 - Marketing Campaigns:

Machine learning and AI can be a great boon to marketing. It helps in assessing and collating comprehensive insights on user’s behavior and engagement preferences. For a startup or a small business with a handful of customers, it’s relatively easy to create customized texts for each customer. On the contrary, large organizations with massive user base may find it challenging to interact with each user based on their personal data and buying context.
Marketers can also leverage machine learning to improve customer segmentation. It can segregate the customers into smaller, manageable segments based on their behaviors and preferences. Consequently, the businesses can address each user group with a personalized text to improve customer outreach and acquisition. In addition to this, AI and machine learning can also help you enable predictive marketing campaigns that drive positive responses as well as informed business decisions.
Ai and machine learning are set to revolutionize smarter app development on iOS platform and marketing techniques. Those developers and marketers that harness the power of these advanced technologies will be able to build more intelligent mobile solutions, expand their market reach and enhance brand value. What are views on implementing AI and machine learning to enhance app development and marketing? Share them with us using the comment section below.
Artificial Intelligence (AI) and Machine Learning (ML) have been around for a while now. App developers and marketers are incorporating AI and machine learning into their software and app development life cycles to facilitate smarter, more futuristic applications.

Build Intelligent Mobile Apps With AI & Machine Learning - Image 1

Today, technologies are evolving at an unprecedented pace and so are user expectations. Users no longer need just an aesthetically appealing, interactive and user-friendly apps. Their expectations have evolved beyond great app design, experience, and creativity. With that said, let’s discover how AI and machine learning will impact and transform the mobile app development space and its marketing fundamentals in 2018.

#1 - Product Recommendation:

Machine learning provides detailed insights to users on the kinds of apps and platforms they access and so on. The machine learning-based apps comply and evaluate massive chunks of information related to user’s in-app behavior, usage pattern, order history, personal preferences, and more while recommending valuable content and products specific to their interest.

Amazon is one of the best examples of implementing machine learning for eCommerce. This e-retail giant leverages AI and machine learning to analyze customer-related information and suggests products to customers using its algorithm findings. Likewise, Netflix, a popular video-streaming app, aggregates data including users’ preference list, web series, and videos watched, as well as the most trending videos. Its recommendation engine then evaluates the data and recommends videos you will likely be interested in watching.

#2 - Content Optimization:

Social networking sites have encouraged increased internet accessibility alongside ease of posting and sharing content. Machine learning and AI-based platforms or algorithms analyze each social media user’s dynamics, engagement and generic sentiments towards every post to identify their areas of interest. Thereafter, the social apps filter and optimize the news feed for users with content that’s most likely to evoke an action or reaction.

The social media biggies like Facebook, Twitter, and Instagram combine the power of AI and linguistic rule creations to facilitate the most valuable content to their users.

#3 - Marketing Campaigns:

Machine learning and AI can be a great boon to marketing. It helps in assessing and collating comprehensive insights on user’s behavior and engagement preferences. For a startup or a small business with a handful of customers, it’s relatively easy to create customized texts for each customer. On the contrary, large organizations with massive user base may find it challenging to interact with each user based on their personal data and buying context.

Marketers can also leverage machine learning to improve customer segmentation. It can segregate the customers into smaller, manageable segments based on their behaviors and preferences. Consequently, the businesses can address each user group with a personalized text to improve customer outreach and acquisition. In addition to this, AI and machine learning can also help you enable predictive marketing campaigns that drive positive responses as well as informed business decisions.

Ai and machine learning are set to revolutionize smarter app development on iOS platform and marketing techniques. Those developers and marketers that harness the power of these advanced technologies will be able to build more intelligent mobile solutions, expand their market reach and enhance brand value. What are views on implementing AI and machine learning to enhance app development and marketing? Share them with us using the comment section below.

This blog is listed under Development & Implementations and Data & Information Management Community

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  1. 19 April 18
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    Thank you for sharing, it is really useful article for machine learning and mobile app development. read more about machine learning and mobile app development here https://goo.gl/1ZqmRm

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