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12 Best AI & ML Based App Ideas For Startups & SME's That'll Make Money in 2019–20


With over 1 billion active iOS powered device users and 2 billion active Android-powered device users, the custom mobile app development sector is providing the most profitable and captivating markets to develop and sell the most advanced digital solutions to the users all across the globe. There are about 4 million unique mobile applications on this operating system, most of which have similar functions. Machine learning is a crucial and integral part of Artificial Intelligence which are widely used in software development services. Also, it had an impact on mobile applications development and has become a potential market for implementing software that can adapt to user behavior. Now these days, everyone wants a customized user experience according to their specific needs.

157 Artificial Intelligence Platforms to Help You Grow Your Business 60 Second Marketer @AskJamieTurner


The odds are pretty good that you're using Artificial Intelligence (AI) and Machine Learning (ML) more often than you realize. After all, every time you do a Google search (like the one that probably brought you here), you're using software that has Artificial Intelligence ingrained in its DNA.

Impact of AI on the retail industry


In the near future, artificial intelligence (AI) would be in major demand by the consumers to make interactions as seamless as possible. Many of us as an end user are unaware of the fact that Google uses AI to improve their search. It provides us with the correct results most of the times. Behind the scenes of any AI-powered systems, there is a long and complex computational process involved with the trained data set for the algorithm to perform so that the user gets an overwhelming experience. This experience is so fast and seamless that the user thinks everything is happening magically.

50 Best AI Retail Applications - Insider Trends


With that in mind, we've outlined 50 ways in which retailers are putting AI into action, from personalising beauty to forecasting demand. While the predominant function of Sephora's Virtual Artist app is to allow beauty buyers to try on products virtually via augmented reality, the brand recently introduced a colour match tool, powered by AI. This tool determines the particular shade of a product on a photo and suggests similar products available at Sephora that the consumer can then try on and purchase. If there's one sector where AI has been making a lot of noise, it's beauty. Olay's Skin Advisor is an online consultation platform that can tell the true age of a user's skin from a selfie. By using AI to both evaluate and determine problem areas, as well as the overall condition of the skin, it also provides personalised skincare routines and reports.

How to Implement Artificial Intelligence in Fashion? - Quytech Blog


According to Tractica, the worldwide AI software market is projected to generate a revenue of USD 118.6 billion by 2025. Another report by Juniper Research unveils that the global retail investment on the artificial intelligence is expected to grow to $7.3 billion per year by 2022. Considering these facts, it would be no wrong to say that the artificial intelligence is taking every industry by storm, and the fashion industry is no exception. By training machines and software to do human work with complete perfection, the technology is helping the industry to minimize redundant tasks and pay attention to other important activities. AI, along with its other subsets such as machine learning, NLP, and computer vision, is providing various automated solutions to fashion manufacturers, retailers, designers, and others to bring the best outcomes.