Blog posts tagged in Artificial intelligence

You’re in the office and it’s natural for you to feel hunger pangs at 1 in the afternoon. So, it’s a routine task to grab your smartphone around 12:30 pm every day and order your lunch using a food app. So, you first open the app, choose a restaurant and an item on the menu, select your delivery address, and then finally pay to get the food delivered for satiation. But, spending 10 minutes in the same mundane process every day no longer feels to be a pleasing experience.

How Artificial Intelligence (AI) reshapes the Way You Interact with Mobile Apps

Now imagine, you get a new food app that can copy your intelligence and learn from your food ordering behavior for 10 days, so much so that it can take action on its own to fulfill your intent. The app learns that you order a salad on Monday from Hale and Hearty, sandwiches and burgers on Tuesday and Wednesday from McDonald's, Pizza on Thursday from Domino’s and chicken on Friday from KFC. At sharp 12:30 Wednesday, you get a notification “order burger from McDonald’s”. And then pops up another notification “30% discount on Double Bacon Smokehouse Burger”. You simply click or use your voice command “place order” and your order gets delivered.

The food app handled your delivery address, payment and everything on its own... you just thanked your app for scraping the rigmarole and treating you as an individual with own set of preferences like everybody else.

Well, this is the level of personalization mobile app users are now looking for to which AI is certainly the key. So, are we are already there? The answer is a yes, thanks to big advancements and hefty investments already being made in AI to bring an all-new level of in-depth and predictive mobile app performance. We can’t think of AI without having a mention of Apple’s Siri and Cortana, Google Assistant and Amazon’s Alexa, making it possible for users to even go touchless to answer questions, track down information, send messages, launch services, and more.

Now arises a bigger question, what all it takes to build robust AI that mimics human intelligence?

We first must understand that AI is a polymorphous concept and it learns from user demographics, inputs and behavior patterns to deduce user intent and respond accordingly. Which means AI apps gather piles of user data and make big data, machine learning (ML), natural language processing, machine vision, knowledge management and problem-solving pivotal to their success.

Machine learning and predictive AI algorithms are being increasingly integrated into shopping apps now to predict what a customer is likely to buy based on their previous buying and browse history. So, you get suggestions based on your preferred choices, not serving you the plate of somebody else that doesn’t suit your palate. So, throwing the same content to everybody will soon become the thing of the past with content delivery becoming more personalized, sensible and logical with AI.

For instance, Recent News is an AI-powered app that analyzes your reading habits to show you only those articles and news that you love. So, AI makes content delivery go free of a scattershot approach, keeping it intact to your choices.

Among other AI app examples that use machine learning are Socratic and Microsoft Pix. The former is a tutor app that helps students find answers to questions related to Biology, Algebra, Chemistry, English Grammar, History, Economics and more. By using cutting-edge computer vision technologies, the app deciphers questions from images and provides explanations and videos for step-by-step help.

Microsoft Pix is a photo app that uses AI to give you the best shot. It captures 10 frames with every click and uses AI to choose the best three shots and delete the rest. AI in the lens analyzes scene and lighting between each shutter click and adjusts accordingly between each shot. It’s a kind of photographer in the camera that automatically optimizes capture settings to give you the best shot.

AI is the way forward for mobile app businesses to retain users by facilitating highly interactive, engaging and personalized experiences. More and more IT and app development companies are moving towards AI technology and the time is not far when devices will respond more actively than humans. You may soon wake up one day with your phone tracking your health and telling you if you’re ill or not. If ill, the phone will make a doctor appointment, share your medical data, make a note of your prescription and send it to pharmacy to get the medication delivered.

How Evon can help build Your AI App Startup

Evon Technologies has the competency in the AI space to help shape your AI app idea into a reality. Highly capable and proficient developers at Evon use cognitive APIs, machine learning algorithms, deep learning techniques, and big data analytics to guarantee top-level reasoning and exact fulfillment of the users’ intent. Contact us if you have an AI app idea and we will collaborate with you at every step to bring it to the market fast and meet the changing demands of today’s app users.

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Artificial Intelligence (AI) reminds us of many Hollywood movies, like The Terminator, The Matrix etc, in which machines surpass ability and smartness of human beings to perform incredible acts. With significant advancement in technology, it is now actually possible to empower a machine with AI by using a few programming techniques and database management system. But AI is no restricted to machines robotics only, and is now seen as the next frontier of mobile devices too.

Cortana, Siri and Google Now have already shown us how AI can make a difference in digital world to make human lives better. They behave as personal assistants to advise and suggest a user, like reminding birthdays of loved ones, an important meeting, a major event and many more.

Integration of AI in mobile apps is all set to create a bandwagon, with smartphone manufacturers investing in research to come up with mobile apps that can effectively handle official and personal tasks of human beings. We have a small quotient of AI in our smartphones already, which is why we are able to easily make a hotel booking and shop online. It’s no hyperbole that further advancement in mobile AI only opens avenues to make smartphones or tablets capable of performing human activities.

Mobile apps will not only communicate with human beings, but will understand their emotions as well. Researchers are working to improve voice-recognition service to achieve the same. Mobile chip maker Qualcomm says that future smartphones will be intelligent enough to understand what photos you are taking of and recognize faces. Does that mean deep learning will become a standard features of future smartphones? Qualcomm is looking forward to build neuro-inspired chips to make smartphones smarter about images so that they can recognize faces even from videos or images that are not very clear.

Going by estimates of ABIresearch, could-based solutions will globally result into 68% of growth in mobile speech-recognition platforms by 2017. Researchers are endeavoring to transcend limitations of smartphones like constrained communication bandwidth, small screen sizes and other issues to incorporate AI in smartphones.

BroApp helps strengthen your romantic bond with your partner by sending an automated text message on daily basis. But this is no stopping as further advancement in its AI could do wonders for couples who struggle to remember small-yet-important things to maintain a happy relationship with their loved ones.

Watson, a product of IBM, is a machine that finds answers to complicated questions in a matter of three to five seconds. The machine is powered with AI to dig into a terabyte of data and come out with answers in no time. Such is the power of AI, and it is only going to increase by multiple folds, providing you a picture about enormity of AI to transform how mobile apps will behave in future.

AI in mobile apps will give rise to smart interaction, deep personalization and intelligent answers, recommendations, opinion and what not. AI advancement will help expand boundaries of progress human beings have created so far. WIth this, I am wrapping this blog and hope it has provided you insight into how AI will impact behavior of mobile apps in future.
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