Machine learning (ML), the subfield of Artificial Intelligence, will certainly bring massive changes to the world in coming years. As experts believe, the practical utility of ML will soon be available to ordinary users via mobile app – the easiest form of computers available now.

ML is beginning a new age of software development. The developers no longer require doing special programming for their computers, gadgets and other devices aiming to complete several tasks. These devices collect and analyze information that they need to draw appropriate conclusion and learn during program performance, instead.

The technology of machine learning now accumulates the experience from previously completed operations and makes decisions as it happens among human beings. This all will happen through a special algorithm that would reach machines to learn things on their own. The targeted devices will be mobile and, the objective will be achieved by mobile app development.

Initially, machine learning began from computers but as of current trends, it’s shifting more towards mobile platforms via mobile app development. This is why almost all big IT firms have started to promote machine learning mobile app development as the next big thing.

Smartphones come with more than sufficient power which can perform operations as similar as large-size computers do. Here are the confirmations:

  • Google’s language software using the neural network and providing language translations is optimized for smartphones and, it supports devices without the internet connection.
  • Lenovo is working a smartphone technology that would perform several operations without the internet connection. Indoor geo-location and augmented reality are two best examples. This is made possible with the high-speed image processing software along with Google’s software.
  • During the last WWDC 16, Apple presented Siri SDK and, now all developers can incorporate this feature into their apps.

Areas Where Machines Learning Apps can be Implemented

As a multidisciplinary field, machine learning mobile apps can be implemented in areas requiring the intersection of technologies, science and business.

Use of Machine Learning in Robotics

The machine learning capabilities can also aid robotics. We are seeing an emergence of the age in which the robots assist people in doing their works, both at workplace and at home. Also, these can be operated via voice command or remotely or via a few taps on the screens of smartphones. All there required are the machine-learning capabilities for the correct performance, even in unpredictable environment.

The MPL Implementation in Data Mining

Data is the true fuel to smoothly and continuously run the modern day’s business practices. Nothing moves without it. The machine learning capabilities can help a lot in analyzing and finding the interesting connections with the vital set of data.

Machine Learning and Finance

The machine learning capabilities are extensively used in the better prediction of future trends. Customized apps can analyze all sorts of browser related history of previous transactions and social media activities so that credit ratings can be determined. Such system can also provide a result to consider portfolio optimization and send recommendation directly to the smartphones of users.

The Machine Learning Makes e-commerce Simple

Machine learning is providing quite a few opportunities for ecommerce businesses in need of increasing revenue and enhancing customer experience. The globally recognized retail giants like eBay and Amazon have already proved it. However, these are big companies which can afford huge investments to implement ML capabilities at their workplaces, but smartphone mobility provides easiest ways to implement ML via mobile apps.

Here are some examples how enterprises can intelligently use ML capabilities in their mobile app developments.

Searching the Products

The ML based app can provide better product searches in terms of ranking, query-understanding and the questions related to expansions.

Recommendation and Promotions of Products

The ML can help users to get better recommendation for the products they are searching for. Same applied on the product promotion.

Forecasting and analyzing latest trends

E-commerce businesses engaged in fashion industry need information to understand the latest trends in the market. Information of the past season sales and upcoming trends can help them reach more precisely to their customers. Here big data machine learning capabilities aid these businesses to aggregate the trend and sales information from diverse sources and create prediction in real time. The ML can also help fashion businesses to manage better pricing to their products to attract more customers.

Detection and prevention of frauds

E-commerce companies keep facing a variety of challenges but with machine learning capabilities, they can create a defense system by involving continuous monitoring of online activities and creating alarms.


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