The iOS app developer need not be specialists, but rather have knowledge on multiple platforms and tools, for developing immaculate innovative iOS apps.Here are some of the essential and core skills to be acquired by the iOS app developer:Spatial ReasoningSwiftCore DataGrand Central DispatchAppinventiv, is a one of the top rated android app development company.

They have driven a high growth trajectory, working with cutting edge technologies across diverse technology platforms such as Wearables, Internet of Things, Smartphones and many others.the text above is a  summary, you can read full article here

A smart mobile app is only possible when based on machine learning and Artificial Intelligence.

AI is used in other areas like chatbots, driverless cars etcI is fast acquiring the place of an indispensable tool, not only for mobile app development but also for other areas.

It has impact on countless businesses and consumers.

The technology is used by a variety of application areas like chatbots, predictive analysis and even driverless cars.

It is one of the primary determinants of what direction will be taken by mobile development.Here are some of the tips that you need to follow while developing a mobile app based on Artificial Intelligence:Fully Utilizing the Reinforcement LearningPrioritization of Collection, Sorting and Storage of DataAcquire Knowledge on the Latest Trend on AISearch Analysis of Machine Learning Toolsthe text above is a summary , you can read full article here

There are many steps in the mobile app development cycle and you should pay attention to each and every step for developing a highly successful app.There is a list of all the steps of the development cycle that will help you in making a schedule whether you are developing the app yourselfAnticipate the purposePay attention on designTest the appMaintain and update your appHence, updates are crucial to keep the app up to date.

However, don’t forget to make your update noticeable.

With each update, tell the improvements of your app.

With this, users can know that active improvement is being done on regular basis.the text above is a summary, you can read full article here

Deep Learning AI are increasingly used in mobile apps, as they not only respond to user inputs but if embedded in software can predict user behaviour.Machine learning is one of the fastest growing technology of the recent times and Deep Learning is what gives it the competitive edge.

We find many an application of machine learning in our daily lives, examples of which are Apple’s Siri, Facebook’s Face Detection and Car Collision detection from Mobileye.What is Deep Learning?Deep Learning AI in Mobile AppsThe developers will eventually use AI, for not only to react to user input, but providing a entirely new software that can predict user behaviour.

So, the tourists and the travellers will be able to explore various cities, all over the world as per their preferences.The text Above is a Summary, you can Read Full Article here

Google states that the apps developed by the developers in the Google Play Store must follow some standard policies with regards to the privacy of the apps.Millions of Apps are getting developed by the app development companies, trying to grab attention of the users, as they are showcased in the Google Play Store, trying to hold on to the coveted position.

Google Play Store platform for the Android operating system.Information provided to the Android DevelopersEmails that were Sent to the DevelopersConsequence of non-ComplianceThere can be limited penalizing like that of limited visibility on the App Store or it can go up to a severe type of penalizing, that is to completely remove these apps.

The defiant developers that they are on wrong side of betting for their app’s success.The Text Above is a Summary, You can Read Full Article here