Tag Archives: IOS

How App Developers Can Leverage the iPhone 12 to Maximize Their Apps

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On October 23rd, four brand new iPhone 12 models were released to retailers. As the manufacturer of the most popular smartphone model in the world, whenever Apple delivers a new device its front-page news. Mobile app developers looking to capitalize on new devices must stay abreast of the latest technologies, how they empower applications, and what they signal about where the future of app development is headed.

With that in mind, here is everything app developers need to know about the latest iPhone models.

BIG DEVELOPMENTS FOR AUGMENTED REALITY

LiDAR is a method for measuring distances (ranging) by illuminating the target with laser light and measuring the reflection with a sensor
LiDAR is a method for measuring distances (ranging) by illuminating the target with laser light and measuring the reflection with a sensor

On a camera level, the iPhone 12 includes significant advancements. It is the first phone to record and edit Dolby Vision with HDR. What’s more, Apple has enhanced the iPhone’s LiDAR sensor capabilities with a third telephoto lens.

The opportunities for app developers are significant. For AR developers, this is a breakthrough—enhanced LiDAR on the iPhone 12 means a broad market will have access to enhanced depth perception, enabling smoother AR object placement. The LIDAR sensor produces a 6x increase in autofocus speed in low light settings.

The potential use cases are vast. An enterprise-level application could leverage the enhanced camera to show the inner workings of a complex machine and provide solutions. Dimly lit rooms can now house AR objects, such as Christmas decorations. The iPhone 12 provides a platform for AR developers to count on a growing market of app users to do much more with less light, and scan rooms with more detail.

The iPhone 12’s enhanced LiDAR Scanner will enable iOS app developers to employ Apple’s ARKit 4 to attain enhanced depth information through a brand-new Depth API. ARKit 4 also introduces location anchors, which enable developers to place AR experiences at a specific point in the world in their iPhone and iPad apps.

With iPhone 12, Apple sends a clear message to app developers: AR is on the rise.

ALL IPHONE 12 MODELS SUPPORT 5G

5G 2

The entire iPhone 12 family of devices supports 5G with both sub-6GHz and mmWave networks. When iPhone 12 devices leverage 5G with the Apple A14 bionic chip, it enables them to integrate with IoT devices, and perform on ML algorithms at a much higher level.

5G poses an endless array of possibilities for app developers—from enhanced UX, more accurate GPS, improved video apps, and more. 5G will reduce dependency on hardware as app data is stored in the cloud with faster transfer speeds. In addition, it will enable even more potential innovation for AR applications.

5G represents a new frontier for app developers, IoT, and much more. Major carriers have been rolling out 5G networks over the past few years, but access points remain primarily in major cities. Regardless, 5G will gradually become the norm over the course of the next few years and this will expand the playing field for app developers.

WHAT DOES IT MEAN?

Beyond the bells and whistles, the iPhone 12 sends a very clear message about what app developers can anticipate will have the biggest impact on the future of app development: AR and 5G. Applications employing these technologies will have massive potential to evolve as the iPhone 12 and its successors become the norm and older devices are phased out.

iOS 14 Revamps the OS While Android 11 Offers Minor Improvements

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Every time Apple announces a new device or OS, it is a cultural event for both consumers and app developers. When Apple announced iOS 14 in June 2020 during the WWDC 2020 keynote, few anticipated it would be one of the biggest iOS updates to date. With a host of new features and UI enhancements, the release of iOS 14  has become one of the most hotly anticipated moments of this year in technology.

On the other side of the OS war, Android has released four developer previews in 2020 of their latest OS offering: Android 11. Currently, Android 11 is currently available in a beta release ahead of its target launch in August/September.

The two biggest OS titans have effectively upped the ante on their rivalry. Here is a summary everything you need to know on how they stack up against one another:

iOS 14

iOS 14 is a larger step forward for iOS than Android 11 is for Android. In relation to iOS 13, it revamps the iOS to become smarter and more user-friendly while streamlining group conversations.

While iMessage remains the most popular messaging platform on the market, competitors like WhatsApp, Discord and Signal include a variety of features previously unavailable on iOS devices. iOS 14 closes the gap with its competitors, offering a host of UI enhancements specifically targeting group conversations—one of the most popular features on iMessage:

imessage-ios14

  • Pinned Conversations: Pin the most important conversations to the top of your profile to make them easier to access.
  • Group Photos: iOS 14 enhances group conversations by allowing users to give group conversations a visual identity using a photo, Memoji, or emoji.
  • Mentions: Users can now directly tag users in their messages within group conversations. When a user is mentioned, their name will be highlighted in the text and users can customize notifications so that they only receive notifications when they are mentioned.
  • Inline Replies: Within group conversations, users can select a specific message and reply directly to it.

One of the major upgrades in iOS 14 is the inclusion of Widgets on the home screen. Widgets on the home screen have been redesigned to offer more information at a glance. They are also customizable to give the user more flexibility in how they arrange their home screen.

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iOS 14 introduces the App Library, a program which automatically organizes applications into categories offering a simple, easy-to-navigate view. App Library helps make all of a user’s applications visible at once and allow users to customize how they’d like their applications to be categorized.

In addition to incorporating a variety of UI enhancements, iOS 14 is significantly smarter. Siri is equipped with 20x more facts than it had three years ago. iOS 14 improves language translation, offering 11 different languages. Users can download the languages based on what they will need to keep translations private without requiring an internet connection.

Apple has also introduced a number of UI enhancements to help make the most of screen real estate:

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Compact Calls condense the amount of screen real estate occupied by phone calls from iPhone, FaceTime, and third-party apps, allowing users to continue viewing information on their screen both when a call comes in and when they are on a call.

picture in picture

Picture in Picture mode similarly allows users to condense their video display so that it doesn’t take up their entire screen, allowing the user to navigate their device without pausing their video call or missing part of a video that they are watching.

ANDROID 11

In comparison to iOS 14, Android 11 is not a major visual overhaul of the platform. However, it does offer an array of new features which enhance UI.

  • Android 11 introduces native screen recording, allowing users to record their screen. It is a useful feature already included in iOS, particularly helpful when demonstrating how applications work.
  • While recording videos, Android allows users to mute notifications which would otherwise cause the recording to stop.
  • Users can now modify the touch sensitivity of their screen, increasing or decreasing sensitivity to their liking.
  • Android 11 makes viewing a history of past notifications as easy as it has ever been using the Notification History button.
  • When users grant an Android app access to a permission, in the current OS, the decision is written in stone for all future usage. Based on this decision, the application will have permanent access, access during usage, or will be blocked. Android 11 introduces one-time permissions, allowing users to grant an application access to a permission once and requiring the question to be posed again the next time they open it.

IOS 14 VS. ANDROID 11

While Android offers a variety of small improvements, iOS 14 provides the iOS platform with a major visual overhaul. This year, it is safe to say that iOS 14 wins the battle for the superior upgrade. With both Android and iOS slated for a fall release, how users respond to the new OS’s remains to be seen.

How to Invest Wisely in an Application Development Project

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All well-designed apps begin with an efficient app development process. An inefficient app development process will result in succumbing to pitfalls that will not only prove costly, but also lead to sub-par functionality. Here are our top tips on how to invest wisely in an application development project:

COME PREPARED

When developing your app, you need to know all of the ins and outs of what you want out of your product. During the course of the development process, you will be asked every applicable question and you will need to be able to answer them and to communicate your vision to the app development team so that they are inside your head and know it almost as well as you do.

Rather than waiting for the question to come up, get ahead of it with thorough preparation.

App development starts with the creation of a specifications document elucidating all aspects of the app to be built to ensure a thorough understanding of the idea. Create your own specifications in advance of reaching out to teams and make sure it’s comprehensive. Review the app specifications document thoroughly with prospective partners, make sure they have a comprehensive understanding and it accounts for everything you need your app to do.

Preparation is absolutely vital to staying on the same page with your application development team and avoiding costly hiccups and rebuilds down the line.

FIND THE RIGHT TEAM

Every client has different needs and every app development company has different strengths and weaknesses. Finding the right team is crucial for building the product that will get your business to the next level.

Some clients only need app development specialists, while others look for companies that can take a more holistic approach to their projects and provide input or services on marketing, web development, design and more. Ruminate on your unique needs, research and understand prospective companies strengths and weaknesses, and ensure it is a good match before committing to a long-term partnership with a company.

We recommend seeking a collaborative team with experts in app development as well as project management and the ability to expedite development by putting more programmers on projects. The best app development teams have experienced programmers that have built many apps before and can walk you through the process with ease.

Screen Shot 2019-11-19 at 1.27.16 PM

WIREFRAMES

The use of wireframes will save time and money in the app development process. A wireframe is a visual schematic or blueprint that outlines the design for an application without programming the core functions. Mobile app wireframes can take the form of downloadable apps or as websites. Wireframes replicate how the app will work and the flow of screens without incorporating core programming.

Wireframes save time and money because they help app developers get on the same page with their clients without requiring a hefty amount of programming. After reviewing the wireframes, clients can request modifications or approve the designs. The app development team then commences core programming.

The creation of wireframes before programming key functions and additions will save time, money, and headaches.

MAKE IT SCALABLE

Oftentimes when beginning the application development process, businesses elect to start by focusing on the Minimum Viable Product. While understanding what’s needed for the MVP and what’s extraneous to it, it’s vital to have an understanding of what features you may want to add in the future so that the application can be scalable to enable future iterations of the app.

While focusing on Phase 1 of the development process (building the MVP), keep a running wishlist of functions desired for Phase 2 of the development process so that as functions are added and modified, everyone remains cognizant of how current changes will support future functionality.

Mobile-app-testing

TEST, TEST, TEST

Testing doesn’t begin upon the completion of the application, it’s an ongoing process that occurs internally as new components of the app are built. It is vital not to underbudget for testing, a common mistake in the app development process.

Core functions need to be repeatedly tested, as does UI and usability. Employing dedicated testers to specialize in testing specific components like core functions, sound, design, and more will ensure a fully-functioning app.

Veteran developers use test-driven development (TDD) in which programmers create tests to define the function or improvements of a function, run tests to see if the test fails, write the code so that tests pass, run tests again, correct the code, and repeat until all tests are passed. Test-driven development guarantees code coverage with unit tests for all functions.

CONCLUSION

When hiring an app development company to build your application, hire for the long haul. An ongoing strategic relationship will help you grow and if you choose the right partner, efficiency will increase as your collaborative relationship develops. A mobile application is a major investment of time and money—invest wisely!

Contact us today to learn about how our team can efficiently build your next mobile app.

How to Safely Encrypt Sensitive Data in Your Mobile App

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In November 2014, cybercriminals perpetrated one of the biggest cybercrimes of the decade. They hacked into Sony’s computer systems, stole sensitive data, paralyzed the company’s operations, and gradually leaked embarrassing information to the media. The hackers threatened to continue until Sony agreed to pull the controversial comedy The Interview from its theatrical release.

As the headlines will tell you, the encryption of sensitive data is one of the most important investments a company can make. Facebook is currently under heat for data protection practices. The UK National Crime Agency called WannaCry a signal moment for awareness of cyberattacks and their real world impact. With the stakes higher than ever, the encryption of sensitive data in apps has never been more important.

Here are our top tips on how to safely encrypt sensitive data in your mobile app.

TIP #1: Coding and Testing

Writing secure code is fundemental to creating a secure app. Obfuscating and minifying code so that it cannot be reverse engineered is critical to keeping a secure environment. Testing and fixing bugs when they are exposed should be an ongoing investment of resources as it will pay off in the long run.

Tip #2: Scramble Data

Sometimes, the best method of encrypting data is scrambling. Software and web developers often become obsessed with storing every bit of data in databases and logs, assuming it may be useful later, but doing so can create a target for cybercriminals.

Cunning developers will only store a scrambled version of the data, making it unreadable to the outside eye, but still useful for those who know how to query it correctly.

For an in-depth dive into scrambling data, check out this awesome essay on how Amazon does it.

Tip #3: In Transit Vs. At Rest Encryption

There are two types of data to be encrypted: in transit data and at rest data. In transit data is moving data, be it in transit via email, in apps, or through browsers and other web connections. At rest data is stored in databases, the cloud, computer hard drives, or mobile devices. In transit data can be protected through the implementation of robust network security controls and firewalls. At rest data can be protected through systematically categorizing and classifying data with data protection measures in mind.

Tip #4: Secret Vs. Public Key Algorithms

Secret Key Algorithms are algorithms that use the same key for encryption and decryption. Public-key algorithms us two different encryption keys, one for encryption and the other for decryption. The public key is how the data is sent and the private key decodes it. Public-key algorithms are more secure, but require more computer processing power.

Tip #5: Blockchain Cryptography

We’ve covered the Blockchain in our past article on The Revolutionary Mechanics of the Blockchain. Blockchain cryptography has been on the rise because blockchain databases are distributed and thus more resilient in the face of a DOS attack.

Tip #6: Apps that Clean Up after Themselves 

Apps that collect sensitive information don’t necessarily need to store it. It is wise to delete sensitive data from mobile apps when the data is no longer in active use.

Tip #7 Choose the Right Algorithm

There are several popular pre-existing algorithms in existence that can be used to encrypt sensitive data in mobile apps. Check out UpWork’s awesome rundown:

  1. Advanced Encryption Standard (AES)
  2. RSA
  3. IDEA
  4. Signal
  5. Blowfish and Two Fish
  6. Ring Learning With Errors or Ring-LWE

Over the last 10 years, enterprise-wide use of encryption has jumped by 22 percent according to the Ponemon Institute. When building a mobile app, investing in encrypting sensitive data will pay off in the long run and haunt those that short-change it.

Integration with Siri and iMessage: Everything Your App Can Do

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The upgrade from iOS 9 to iOS 10 was the biggest upgrade iOS has received in its 11 year history. As we covered in our blog How iOS 10′s Open Functionality Can Take Your App to the Next Level, the biggest upgrade to the operating system was the opening up of Siri and iMessage for third-party extensions.

The ability to integrate applications with iMessage and Siri creates a host of new functional possibilities for software developers. Here’s our rundown of the top ways to improve apps through Siri and iMessage integration:

SIRI INTEGRATION

As Alexa has proved, the voice assistant is burgeoning billion dollar business. With Google and Amazon leading the pack, Apple has taken many steps to improve Siri, including opening Siri up to third party integration.

However, Apple is prioritizing quality over quantity when it comes to Siri integrations.  Limiting the types of apps that can integrate with Siri enables Apple to build out robust integrations that take into account complex verbal applications. With robust integrations, Siri will be able to fulfill actions without forcing the user to alter the colloquial, natural construction of their spoken sentences. In other words: the integration is comprehensive, but it will only work with the following types of apps:

  • VoIP (Voice over IP) Calling
  • Messaging
  • Payments
  • Lists and Notes
  • Visual Codes
  • Photos
  • Workouts
  • Ride Booking
  • Car Commands
  • CarPlay
  • Restaurant Reservations

Siri integrations use “intents”. Apps that fit into the aforementioned categories describe a set of intents, or things the app can do, and Siri categorizes spoken orders by the user into intents to determine the next logical action.

Siri can pull up photos from applications like Vogue Runway through voice command. It can send money to friends through Square Cash and Monzo, and can send messages through WhatsApp and LinkedIn. Siri’s vocabulary can process complex requests like “Hey Siri, show me my best photos of idyllic sunsets taken last summer using The Roll.”

iOS 11 opened up a host of new intents. Siri can now lock smartcars and manage notes and to-do lists in productivity apps, as well as complete on-the-spot language translations.

With Siri integration, app developers can make use of one of the most extensive digital vocabularies on the planet to make life easier for users.

IMESSAGE APPS

iOS 10 not only opened iMessage up to developers, it also spawned iMessage apps: apps designed exclusively for the iMessage platform.

iMessage integration allows make it easy to pull up documents, links, and information right from iMessage and send it on the fly. Productivity apps like Evernote can integrate to allow for updates to be both sent and updated through iMessage. Travel apps like AirBNB make it easy to discuss potential travel plans. Games like Words with Friends and GamePidgeon make it easy to simultaneously play games and text. The Starbucks iMessage app allows users to send digital gift cards using Apple Pay. Dropbox and OneDrive make files stored in the cloud easily accessible and shareable.

Unlike Siri, there is no limitation on what types of apps can integrate with iMessage. Due to limited functionality, enthusiasm for developing apps exclusively for the iMessage platform is fading according to Mac Rumors, but integrating with iMessage can greatly enhance the UI of existing apps.

The Real Power of Artificial Intelligence

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Technological innovations expand the possibilities of our world, but they can also shake-up society in a disorienting manner. Periods of major technological advancement are often marked by alienation. While our generation has seen the boon of the Internet, the path to a new world may be paved with Artificial Intelligence.

WHAT IS ARTIFICIAL INTELLIGENCE

Artificial intelligence is defined as the development of computer systems to perform tasks that normally require human intelligence, including speech recognition, visual perception, and decision-making. As recently as a decade ago, artificial intelligence evoked the image of robots, but AI is software not hardware. For app developers, the modern-day realization of artificial intelligence takes on a more amorphous form. AI is on all of your favorite platforms, matching the names and faces of your friends. It’s planning the playlist when you hit shuffle on Apple Music. It’s curating the best Twitter content from you based on data-driven logic that is often too complex even for the humans who programmed the AI to decipher.

MACHINE LEARNING

Currently, Machine Learning is the primary means of achieving artificial intelligence. Machine Learning is the ability for a machine to continuously improve its performance without humans having to explain exactly how to accomplish all of the tasks it has been given. Web and Software programmers create algorithms capable of recognizing patterns in data imperceptible to the human eye and alter their behavior based on them.

For example, Google’s autonomous cars view the road through a camera that streams the footage to a database that centralizes the information of all cars. In other words, when one car learns something—like an image or a flaw in the system—then all the cars learn it.

For the past 50 years, computer programming has focused on codifying existing knowledge and procedures and embedding them in machines. Now, computers can learn from examples to generate knowledge. Thus, Artificial Intelligence has already permanently disrupted the standard flow of knowledge from human to computer and vice versa.

PERCEPTION AND COGNITION

Machine learning has enabled the two biggest advances in artificial intelligence:  perception and cognition. Perception is the ability to sense, while cognition is the ability to reason. In a machine’s case, perception refers to the ability to detect objects without being explicitly told and cognition refers to the ability to identify patterns to form new knowledge.

Perception allows machines to understand aspects of the world in which they are situated and lays the groundwork for their ability to interact with the world. Advancements in voice recognition have been some of the most useful. In 2007, despite its incredibly limited functionality, Siri was an anomaly that immediately generated comparisons to HAL, the Artificial Intelligence in 2001: A Space Odyssey. 10 years later, the fact that iOS 11 enables Siri to translate French, German, Italian, Mandarin and Spanish is a passing story in our media lifecycle.

Image recognition has also advanced dramatically. Facebook and iOS both can recognize your friends’ faces and help you tag them appropriately. Vision systems (like the ones used in autonomous cars) formerly made a mistake when identifying a pedestrian once in every 30 frames. Today, the same systems err less than once in 30 million frames.

EXPANSION

AI has already made become a staple of mainstream technology products. Across every industry, decision-making executives are looking to capitalize on what AI can do for their business. No doubt whoever answers those questions first will have a major edge on their competitors.

Next week, we will explore the impact of AI on the Digital Marketing industry in the next installment of our blog series on AI.

The Best New Features of iOS 11

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While we thoroughly enjoyed iOS 10’s open functionality and all it offered app developers, Apple’s premiere operating system is due for a refresh. iOS 11 has been making waves in its public beta release, here are the top upgrades coming to Apple’s landmark OS:

MAJOR UPGRADES FOR IPAD

Apple’s iOS 11 preview states right off the bat: “A giant step for iPhone. A monumental leap for iPad.” iOS 11 offers a number of improvements for iPad users.

The improved Dock now looks a lot like the macOS dock. Users can put dozens of apps in the doc and easily pull it up by swiping upward.

Need to use two apps at the same time? iOS has your back. Like Picture-In-Picture Mode for Android, which we detailed last week in our coverage of Android Oreo, iOS 11 allows you to use two apps at the same time—something that will inevitably come in handy on the large screens of the iPad.

Apple Pencil Instant Notes via Redmond Pie

APPLE PENCIL receives a major upgrade in iOS 11. Instant Markup makes it easy to mark up PDFs, screenshots and more. Instant Notes and Inline Drawing let you customize your screen. The Scan and Sign feature also makes it easy to sign important documents online and send them in the flash of an eye.

SIRI MATURES

WIRED recently detailed the path toward improving the voice of iOS: Siri. While Google and Amazon have excelled in their virtual assistant development, Siri seems to have lagged behind. iOS 11 revamps Siri’s voice to sound much more natural, while also teaching her to translate Chinese, Spanish, French, German, or Italian.

GET READY FOR AUGMENTED REALITY!

When Pokemon Go took the world by storm, “Augmented Reality” became a household name. Now, the time has come for app developers rejoice! iOS 11 features ARKit, a new development framework that makes it easy for developers to build incredible AR experiences.

ARKit allows developers to create 2D or 3D elements in the live view from iPhone and iPad camera’s in order to make them appear as if they exist in the real world. ARKit combines device motion tracking, camera scene capture, advanced scene processing, and display conveniences to make building AR experiences a breeze.

Check out some of the best AR experiences built with ARKit so far.

CAMERA TIME

Thanks to a new compression technology, iOS 11 will be able to store video using less space than ever. Additionally, the camera will allow users to loop live videos, to trim and edit live videos, to grab a still from a live photo, and to capture time and movement with long exposure photos.

Apple App Store via BGR

APP STORE REDESIGN

The rigorous standards of Apple’s App Store always lent itself to curation. With that in mind, Apple has redesigned the App Store to emphasize discovery. The new App Store will offer a completely separate tab for Games, a variety of daily stories and a tab for the best apps of the day, all curated by Apple!

FILES, PAYMENT, AND MORE

iOS 11 is a comprehensive upgrade that comes equipped with a host of other great additions, including:

– FILES: Never lose track of important documents again! The Files app makes it easy to find files stored on iOS devices, in iCloud Drive, and even across other cloud services like Box and Dropbox.

– APPLE PAY IN IMESSAGE: iOS 11 will make peer-to-peer payments easy, allowing users to send Apple Pay payments as a part of iMessage.

– CONTROL CENTER: The Control Center has received a complete redesign. The new Control Center will appear all on one page and is customizable, allowing users to personalize the design to the most helpful layout.

TAKEAWAYS

If you are an iPad user, you are truly in for a treat when iOS 11 comes out. If you only use iPhone, iOS 11 still delivers a fresh redesign with improved functionality. iOS 11 is yet another solid entry in Apple’s OS canon.

The Business of Emojis: How Top Companies Monetize Emoji Apps

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They say a picture is worth a thousand words.

Emojis have become a staple of text communication in the 21st century. According to Digiday, over 6 billion emoji messages are sent per day. iMessage, Facebook Messenger, GChat, Snapchat & more have all integrated unique emojis into their platforms. Where there is popularity, there is money to be made.

An Emoji is defined as a small digital image or icon used to express an idea, emotion, etc., in electronic communication. Emojis evolved from emoticons, which are pictorial representations of a facial expression using ONLY punctuation marks, numbers and letters. The first intentional use of an emoticon has multiple origins depending on your source. In 1857, historians documented the use of the number 73 to express love and kisses in Morse code. Some credit a New York Times article covering an Abraham Lincoln speech in 1862 with introducing the phenomenon. The first documented use of “:-)” and “:-(”  overtly to express emotion was in 1982 at Carnegie Mellon.

As online chat became popular, so did the use of emoticons. In an era of computer-mediated communication, emoticons help communicate nonverbal cues in digital threads. From emoticons, emojis emerged, eschewing the punctuation and using images to directly convey emotion. The first emoji was created in 1998 or 1999 in Japan by Shigetaka Kurita. Emoji was first integrated with iMessage in iOS 5. Snapchat recently bought BitMoji for $100 million. Messaging apps like Facebook Messenger and G-Chat are all following WeChat’s lead in creating their own visual keyboards. iOS 10’s iMessage App Store pushes stickers, opening up a new visual possibilities for app developers and advertising.

With big money on the line, here’s how top companies are monetizing their emojis:

DOWNLOAD FEE: Some emoji companies sell their apps with a download fee. For a flat rate of $1.99, the user receives access to all emojis. Most users will find it hard to justify paying for an emoji app unless they have a pre-existing relationship with the brand, thus this technique is best for major brands like Kimoji, Amber Rose’s MuvaMoji, the newly released Mike Tyson emojis, etc.

EMOJI PACKS/PREMIUM CONTENT: A more popular monetization method than a download fee is the individual pricing of emoji packs and premium content. Both paid and freemium apps can enact this monetization method. A company may offer one emoji keyboard for free with download of the app, then offer premium content, potentially sponsored by another brand, for a fee. Emoji> is among the top purveyors of this strategy.

BRANDED CONTENT: Perhaps the most effective monetization method for emojis is branded emojis and stickers. Fortune recently profiled a start-up named Swyft that generates revenue creating branded emojis & sticker packs. A sticker pack they created for Gwen Stefani’s album Spark the Fire was downloaded almost a million times and resulted in 41 million impressions in 10 days.

App developers looking to push their own emoji packs can generate revenue with branded partnerships after establishing popularity. BitMoji built up an audience over time with a seemingly endless keyboard of expressions. Upon attaining popularity, BitMoji was able to acquire tons of sponsored sticker packs to generate revenue. BitMoji’s success led to Snapchat’s decision acquire BitMoji and integrate an established brand rather than create their own unique emojis.

RETENTION: In order to build an audience and monetize, emoji keyboards must retain their users. Ads aren’t a popular monetization method for emojis since users like their digital conversations ad-free. Animated Emoji Pro integrated games into their app in order to increase user retention and ascend in ASO rankings. Users get lost BitMoji’s vast selection of icons, increasing usage time.

LOCALIZATION: Localization is another major way of enhancing retention on an emoji keyboard. A study by SwiftKey found radically different patterns of emoji usage depending on geographic location. Creatively utilizing geolocation services to localize the user experience for an emoji keyboard can be a vital tool in building and retaining a national or even global audience.

Succeeding with an emoji app requires innovative thinking, attention-to-detail, marketing & careful consideration of audience. Like TV, print, & web messaging, well-crafted emojis require good creative, and meaningful visuals that convey emotion. With 45 billion messages sent per day in the US alone, there is great potential for a well-crafted emoji app to become profitable business with the right combination of concept, execution, and an experienced app developer.

How To Design Battery-Efficient Geolocation Apps

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The ability for smartphones to offer location services fostered major opportunities for app developers looking to create new apps and enhance functionality of existing apps. Tinder, FourSquare, & Waze use geolocation in the center of their functionality to great success. In combination, these three apps can help a user determine a dinner companion, restaurant of choice, and route to the restaurant. By delivering location-sensitive information to users regardless of where they are in the country, these apps appeal to massive audiences.

Programming geolocation services into an app will have a major impact on the overall quality of the app—and it’s easier said than done. Inefficient geolocation services drain device battery life and deliver inaccurate location data. When apps drain battery life, users uninstall them. In order to determine the best method of programming geolocation services, it is vital for app developers to know who is going to be using the app and how they are going to use it.

Location can be determined by a smartphone in a number of ways. The most widespread include:

GPS: All modern iOS & Android smartphones are equipped with GPS technology. GPS can use at least four satellites to determine a user’s location within about 60 feet.

Cell ID: When GPS isn’t available, phones can use Cell ID, information from cellular towers, to determine location. Cell ID is ideal in big cities with vast amounts of cell towers. Serial fans should be familiar with how cellular tower information can be vital in identifying one’s location. GPS & Cell ID can also work in conjunction to deliver a more precise GPS location.

Wi-Fi: Devices can detect Wi-Fi networks in the same way they can detect cellular towers, but Wi-Fi is more precise as Wi-Fi networks cover smaller regions. Devices can use RSSI (Received Signal Strength Indication) to refer signals from the phone with Wi-Fi points database. Devices can also use the user’s frequently visited places, a profile or wireless fingerprint based on locations in Wi-Fi networks frequented by the user. Wi-Fi can identify a user’s position within 2 meters of accuracy.

The decision of how an app should prioritize these three methods to determine location is a vital one. If users are located in the city, that means both dense Wi-Fi router and cell tower coverage will open up options. If the app is being used primarily in a domestic situation, Wi-Fi might be both the most accurate and efficient method. Apps designed for rural areas may have to use Wi-Fi due to lack of cell towers.

Geofencing Graphic from Applidium

GEOFENCING

Geofencing utilizes a device’s GPS to determine a user’s distance from a particular point. Geofencing can sense when a user enters within a set radius defined by the coordinates of its center. Geofencing will sense when users are inside or outside of a retailer and offer action prompts for either space. There are three types of geofencing:

Static geofencing is based on a user’s position in relation to a specific place. For example, a retailer app sends a message to users who pull into the parking lot of a mall containing the retailer.

Dynamic geofencing takes into account both a user’s location and a changing data stream. For example, a parking app sends the user a message about a recently evacuated parking space that the user is approaching.

Combined geofencing determines when a user enters into a location in relation to other users. For example, apps like Yelp, Facebook, or FourSquare send notifications if a friend checks into a nearby merchant .

CREATING BATTERY-EFFICIENT APPLICATIONS

Making a geolocation app battery-efficient is one of the biggest challenges  app developers face in the programming stage. Developers must create a comprehensive strategy based on their audience.

ACTION THRESHOLDS: Defining accurate action thresholds and use-cases for an app’s geolocation services will dictate its level of battery-efficiency. The more precise your location accuracy requirements, the greater the battery drain. Action thresholds and use-cases define how an app is intended to be used, allowing a framework for developers to enact an efficient model of internal processes for location determination.

COMPREHENSIVE TESTING: Testing the app aggressively to gather a large amount of data is the only way to know the most efficient action thresholds. The more the developer understands how an app is being used, the more they can refine their programming. After release, continuing to gather analytics from user behavior and refine tactics based on how users are getting value from the app becomes a crucial ongoing process.

POLLING FREQUENCY: One of the major variables dictated by action thresholds is polling frequency. The more an app polls for locations, the better its location accuracy. The necessary level of location accuracy varies depending on the app. The precision of location accuracy necessary for an app to be functional can vary. A restaurant app, for example, might be able to get away with accuracy from 200 meters to a few kilometers, while an app that locates friends might need accuracy within 10 – 20 meters.

Evaluating the most efficient polling frequency requires thorough use-cases and some creativity. Programmers can design algorithms to reduce polling frequency if an app hasn’t changed locations for several minutes. Programmers can also analyze the speed of the device and use this data to change polling frequencies. A developer may elect to increase polling frequency as a car accelerates to ensure they maintain location accuracy within a selected radius.

DEFERRING TO OS: Many major mobile platforms will share geolocation information at an operating system level. As a result, any app that is listening can receive location updates requested by other apps. By deferring to other apps already polling for location data, apps can minimize battery drain while still retaining acceptable location data.

Check out Apple and Android’s developers’ sites for more information on best practices for programming location services.

Everything You Need to Know About Machine Learning

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A calculator can solve complex problems which would take even the most savvy mathematicians an incomparable amount of time. Artificial intelligence has become one of the most hotly debated and highly funded aspects of technology because the speed at which machines can process information yields innumerable possibilities and applications which can and will benefit humanity. One of the first popular incarnations of AI is Machine Learning.

Machine Learning is the ability for a computer to learn without being explicitly programmed. Machine learning focuses on computer programs which can identify patterns and create its own algorithms when exposed to new data. It is used in self-driving cars, in newsfeed algorithms on social media, in evaluating job candidates, in recognizing faces on your phone, and more.

The most powerful form of machine learning currently active is called “deep learning”. “Deep learning” builds a complex mathematical structure known as a neural network out of vast quantities of data. Machine learning’s ability to handle mass amounts of data makes it crucial to the advancement of IoT. The IoT collects enormous amounts of data which require computers with machine learning to recognize patterns and create algorithms.  In self-driving cars, IoT cameras and sensors in each autonomous vehicle absorb their surroundings and turn them into huge amounts of data. The data is then sent to the cloud where it is accessible to all autonomous vehicles on the road. Thus, when one self-driving car makes a mistake, all of them learn. In conjunction with the Internet of Things, machine learning will be vital to the building of a smartworld.

TOP PROGRAMMING LANGUAGES

Machine learning requires a great deal of statistical analysis; it demands an intelligent programming language which can process a number of complex issues and general paradigms.

R: Considered a statistical workhorse, R has emerged as one of the top programming languages for machine learning. R is intended for advanced users because of its complex nature and wide learning curve.

Python: A rising star for machine learning, Python is a data science book which has been in use in the manufacturing industry for awhile. Python gives users direct access to predictive analytics, making it the foremost data science language. Developers turn to Python when they are looking to frame better questions or expand the capabilities of their existing machine learning systems.

MATLAB/Octave: Millions of engineers are already using MATLAB, a matrix-based language, to analyze and develop cutting edge systems. MATLAB has emerged as the simplest way to demonstrate computational mathematics.

MACHINE LEARNING AND iOS 10

Machine learning laid much of the groundwork for the biggest upgrade in iOS 10. It is very difficult for computers to comprehend the intricacies of the human language. Machine learning has enabled iPhones to sense contextual clues with increasing confidence, improving iMessage’s ability to autocorrect and for Siri to understand the particulars of your vernacular. In the iPhone 7 camera, machine learning allows the device to separate the background from the foreground to achieve amazing portraits once possible only with DSLR cameras.

MACHINE LEARNING AND ANDROID

Google is among the dominant forces in machine learning. Much of Google Search’s prominence is owed to advances in the machine learning field. In November 2015, Google released TensorFlow, an open-source software library for machine intelligence. TensorFlow effectively simulates “deep learning” neural networks across different computer hardware and offers a straightforward way for users to train computers to perform tasks by feeding them large amounts of data.

Google uses Tensorflow in many of their internal processes, including RankBrain for information retrieval, image classification, SmartReply, and more.

MAXIMIZING MACHINE LEARNING IN MOBILE APPS

Now that mobile devices have the high productive capacity level to perform tasks to the same degree as a traditional computer, the question of what machine learning can offer apps has arisen. Large retailers like Amazon and eBay use machine learning in their mobile apps to improve customer experience with smarter product search and recommendation features, along with the ability to forecast buying trends with analytics.

While Machine Learning algorithms require a high level of programming experience and a ton of data to be effective, integrating apps with Siri & iMessage for iOS 10 allows developers to take advantage of the vast deep learning neural networks embedded into Apple’s 1st-party apps.

While the future of machine learning  on a commercial level remains to be seen outside of tech titans like Facebook, machine learning algorithms will be crucial in conjunction with the IoT in building a new SmartWorld with unparalleled predictive capabilities.