August 12

Drug Repurposing – A Deeper Look into Service Providers Market

Over the past decade, several scientific and techn [...]

Over the past decade, several scientific and technological breakthroughs in the drug repurposing industry have resulted in an accelerated pace of research and innovation within this domain. Further, the demand for effective repurposed therapies in the on-going war with the pandemic, is on the rise. However, one of the primary challenges faced by this industry is the lack of funds and lengthy optimization product development lifecycle of a repurposed drug. Specifically, the clinical compound repositories are exceedingly resource intensive, involving essential information on safety, pharmacokinetic and toxicity. In order to overcome the abovementioned challenges, drug developers are actively outsourcing their clinical research and associated operations to specialized repurposed-based service providers, which are known to have the required capabilities and expertise.

Over 65 service providers presently offer a wide range of repurposed-based services to drug developers

It is worth noting that more than 46% companies are technology-based service providers, followed by CROs (29%) and big data / analytics providers (25%) that have the necessary tools and expertise for drug repurposing. Further, the market is currently dominated by the presence of small companies (less than 51 employees), that represent over 72% of the total players.

List of Drug Repurposing Service Providers

Drug Repurposing- A Deeper Look into Service Providers Market?

About 84% of drug repurposing service providers are based in North America and Europe. Within North America, majority of the service providers are headquartered in the US; whereas, in Europe, most of the technology and big data service providers are distributed across UK while France emerged as a popular hub for CROs. Further, a significant number of such players (16%) are headquartered in Asia-Pacific region.

Drug Repurposing Service Providers Market to Grow at a Healthy Rate in the Near Future

Over the years, the outsourcing trend has become an indispensable business strategy within the global drug discovery market. Moreover the rapid increase in the incidence of various types of diseases, drug developers are opting drug repurposing strategies in order to expediate time-to-market for their drug candidates. According to our estimates, the overall drug repurposing service providers market is anticipated to grow at an annualized rate of 14.7%. The demand for such contract services is likely to be driven by small molecules (70%) than by biologics (30%). Further, segmentation by repurposing approach showed that the maximum revenues are expected to be generated by the use of disease-centric approach (63%), followed by target-centric (29%) and drug-centric approach (8%), by 2030.

Drug Repurposing- A Deeper Look into Service Providers Market?

Drug repurposing has already proved their potential in the biopharmaceutical industry. Moreover, the innovation and adoption of next generation sequencing and AI-based technologies / platforms have significantly brought down the cost of novel drug development. Having said that, we are laid to believe that drug repurposing service providers will provide lucrative business opportunities in the coming decade.

For further information on this domain, check our report here.

RootsAnalysis – Research Insights

You may also be interested in the following titles:

  1. China Biopharmaceutical Contract Manufacturing Market, 2020 – 2030
  2. Continuous Manufacturing Market (Small Molecules and Biologics), 2020 – 2030
  3. Prefilled Syringe Fill / Finish Services Market, 2020-2030
August 12

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August 11

All About Apple iOS 14 Update - Overview and Features

The iOS 14 update includes significant changes lik [...]

In June 2020, Apple introduced iOS 14, the latest update. The update includes significant changes like design changes, interface modifications, app updates, and the addition of a few other features. Some of the updates are quite unique to Apple, including widget support, Smart Stack feature, and many new customizations. Let us see those updates in detail.

Know Everything about iOS 14 Updates

The first noticeable change in iOS 14 update is the App Library. This interface helps to add apps to the home screen or in the library. The Siri interface and phone call will no longer cover the entire screen. If you are a FaceTime user, you will love the Picture-in-Picture mode introduced.

App updates

Apps in iOS 14 come with new updates or even drastic changes. Some of the top changes to note are:

  1. Siri comes with keyboard dictation and the ability to send your audio messages through the internet.
  2. App Clips help to use apps’ features without the need for downloading the app to your device. For instance, by scanning the code, you can make a reservation or make any purchase without the app.
  3. The Message App allows you to pin conversation to the top. You can also find a new feature, the inline replies. This feature helps you to reply to a singular message while in a group chat.
  4. While talking about group chat, Apple has the @mention feature to mute a specific group and receive notifications only when your username appears in any of the messages.
  5. Moreover, the group chat photo customization is possible with emoji or image.
  6. The Memoji feature provides you new stickers, headwear, age options, face covering, and other facial structures.
  7. Apple Watch now has support for Health Checklist and Sleep Tracking.
  8. Weather App provides next-hour precipitation notification, extreme weather updates, and others.
  9. Third-party accessories and product support is an additional add-on for your Find My App.
  10. You can set a third-party browser or email app as your default setting.
  • Maps

    Apple Maps now comes with additional iOS 14 update features allowing you to get directions, much easier. The app has cycling directions, suitable for cyclists and bikers. It shows the street’s elevation, presence of stairs in the route, and how busy the route is while providing the best direction. If you own an electric vehicle, you can benefit from the EV charging stop route options. You can customize it to show the EV charges suitable for your charger and vehicle model. You can also find red-light cameras and speed cameras along the route, and the app will notify when you come closer to speed or red-light camera.

    Curated Guides feature of the update allows you to have a list of new attractions and restaurants in the area. You can now start your car with your Apple Watch or your phone, thanks to the Digital car key feature. You can disable the car key via iCloud if you lose your phone. Next year, Apple plans to introduce a U1 chip, which allows you to unlock your car without your phone in hand.

    The new Map features of Apple released last year are now available in other countries like the UK, Canada, and Ireland. This advanced app provides detailed features like marinas, buildings, road details, airports, parks, etc. Congestion zone details are available in traffic-rich regions.

  • Home App

    Home App becomes more automated with adaptive lighting, on-device face recognition, and others. The on-device face recognition connects with your HomeKit Secure Video Camera to let you know who is at your door. The control center allows you to have quick access to the features from the home page.

  • Music

    The app now has a Listen Now tab to find new mixes, playlists, and artists. The feature has a self-learning technique to suggest what you like, over time. You can now search for music by mood, activity, genre, and others. The autoplay option allows the app to play similar music after the playlist ends.

  • Translate

    The latest iOS update brings Translate App, which allows voice and text translation from and to eleven different languages. The On-Device Mode will enable you to download the translation you need for your device. The Conversation Mode allows your device to speak the language aloud. When activated, it allows your device to recognize the language and translate it into your chosen language.

  • Camera app update

    The camera can now shoot 90% fast with four fps. The first shot takes 25% less time to shoot, and the Portrait mode shots are 15% faster. You can also choose the ‘Prioritize Faster Shooting feature’ to change the quality of the photo. You can also choose to take quick videos with the QuickTake option.

    The Video Mode Toggle allows you to alter the frame rate and video resolution while using the app. The Night Mode now has a guidance indicator, which helps you to have a steady hold on the camera while shooting a video. The Exposure Adjustment has Preserve Settings, which allow you to lock the exposure compensation value during the entire session. You can now use the volume button while in the camera app to choose a burst photo (volume up) and QuickTake video (volume down).

    The update makes the camera more efficient in reading QR codes. The Mirror Front Camera option allows you to click a mirrored selfie. You can also choose to have a standard selfie.

  • Photos

    Now, you can add captions to your videos and photos and sync it with iCloud. The app now has better filtering, sorting, and navigation options. Memories option allows the app to pull videos and photos with relevancy. Revamped image picker enables you to choose media files to add to messages and mail. The zoom feature also has an in-depth update.

  • FaceTime

    Apart from the picture-in-picture option, FaceTime now comes with the Attention Correction feature, which allows you to have a natural eye contact instead of looking at the camera. The app now allows you to have high-quality calls with 1080p resolution (only in devices that enable such quality). If one of the participants in a group video call is using sign language or gestures, the tile gets more prominent.

Privacy settings

The Apple iOS update brings new privacy policies and regulations. The developers must receive permission to access a device via the local network. You can also opt for limited access by providing the app, just the approximate location of your device. The new privacy policy permits the app to track the user through websites only after seeking user permission. When an app uses the microphone or camera, it indicates the recording via new icons (a dot) on the home screen.

In the future, the App Store’s product pages will provide each developer’s privacy practices, presented in an easily readable format. The Safari offers privacy reports to let you know about the trackers blocked by the device. If you have a saved password, the Password Monitoring setting will indicate any data breach. You can enjoy the translation feature for websites via Safari.

While connected to a local network, you can use ‘Use Private Address’ to avoid tracking by the network operator. You can block an app from accessing your entire photo gallery. You can provide limited access, which allows the app to access only the photo you wish.

Soon, you need not provide access to any third-party app to access your contacts. The device allows you to type the name into the app and fill the other details. The Autofill feature will pull the contact, and you need not share the contacts unless there is a dire necessity.

Now, Apple requires the sites and apps to offer the ‘Sign in with Apple’ option. It allows you to enjoy upgraded privacy protection.

Audio – AirPods

The newest iOS update allows your device to alter between the AirPods and the device automatically. The AirPods Pro now has Spatial Audio Feature, which enables surround sound, dynamic head tracking, and others. You will have an additional notification to indicate if the battery in AirPods Pro or AirPods is dying.

The Spatial Audio helps to provide a customized sound field, even when your head moves. It uses the accelerometer and gyroscope to adjust the sound field following your head motion. As a result, you will enjoy a theatre styled sound effect with your AirPods. The battery charging feature optimization allows your pod to manage the charging so that it spends minimal time in charge. It charges up to 80% at normal speed and waits to finish the remaining before you need it, by monitoring your usage routine.

Home screen changes

As mentioned before, the update allows widget on the home screen. Some of the default widgets available are Stocks, Weather, Calendar, Apple News, Screen Time, and others. The Widget Gallery holds numerous options, including suggestions for new widgets. It is possible to stack ten widgets, one on top of another, and access every widget via swipe. You can hide the home screen pages out of your view, in this update. If you wish to hide any individual app, you can save them in the app library.

Siri changes

Now, Siri can answer complicated questions instead of just redirecting you to any web page. Apart from the before-mentioned voice message feature, Siri can share your ETA to your contact, provide directions, and so on. Siri now understands around 65 language pairs for translation and has a natural voice for a few languages like English, Spanish, French, Japanese, German, and others.

APFS encryption

You can connect an external drive to your device and access the password-protected files in the drive. The device is now capable of supporting devices with APFS encryption.

Apart from these, there are changes to Podcast, Remainder, Voice Memos, Weather, and others. Additional features updated are

  1. Better augmented reality with A12 bionic chip
  2. Body pose and hand detection features
  3. On-device dictation
  4. VoiceOver recognition
  5. Sound recognition for detecting a crying baby, water, doorbell, and others

Is your iPhone getting an iOS 14 update or not?

According to Apple, this new update is available for iPhone 6s and recent models. This update will be available for compatible models for free. If your model is compatible with iOS 13, you can install iOS 14 on your device. You can receive iOS 14 if your model is any of the following.

  1. iPhone 6s, 7, 8, 11
  2. iPhone 6s Plus, 8 Plus, and 7 Plus
  3. iPhone X, XS Max, XR, and XS
  4. iPhone 11 Pro and Pro Max
  5. iPhone SE (2020 model)
  6. iPhone SE (2016 model)
  7. iPod touch (Seventh generation)

When will iOS 14 be released?

Are you psyched for the new update? The update received the first preview at WWDC (Worldwide Developers Conference) in June 2020. However, the official release to the users will be in September 2020. The beta version will be available for testing to a test group. The announcement regarding the test group will be in July 2020. The exact date of the test group and official release are not available as of now. If the new iPhone enters the market in September, the update might be a part of the new release too.

How can you download and install iOS 14?

If you are planning to download the beta version, it is best to have a backup of your phone. Use your Apple ID and other required information to download the beta file. Now, let’s go to ‘how to update iOS’.

  1. After download, move to the Downloads folder and click on ‘Install Profile’.
  2. Move to settings, go to General, and click Profile. Under Profile, select Profile Downloaded.
  3. Now, move to Software Update in settings, and you will now have an option for iOS 14 download. The download size is 5GB. Plug to an outlet as it would take a considerable amount of time to complete.
  4. After the update download, restart the phone.

Apple’s other announcements

In WWDC, after the preview of iOS 14, Apple gave a peek at what you can expect in the upcoming years.

  1. Apple Silicon Mac – Mac-based developer Transition Kit with A12Z SoC processor and macOS Big Sur. It comes with 16 GB memory and 512 GB SSD.
  2. The transition from Intel to Apple Silicon might take two years.
  3. WatchOS 7 allows you to watch your handwashing routine.
  4. MacOS 7 would look more like iOS and iPad OS.       
  5. Private forums, code support, transition help, and others are now available for developers.
  6. Digital Car Key application is a unique element in the update. It can work for five hours, even after your phone battery dies.

With these new features, Apple promises that iOS 14 will make the Apple experience more personal and helpful. The features focus on making users feel secure, optimize the usage, and find beneficial notifications beyond imagination. 

iOS for Enterprise App Development

With this ever-evolving market of iOS operating systems and amazing updates launched every year, businesses, especially iOS app development companies can definitely benefit their clients by helping them create highly-secure and robust applications as per their business requirements. Mostly tech-savvy audiences or users prefer iPhone devices and enjoy the intuitive interface of iOS apps. Thus, enterprises of all sizes can take advantage of the great business opportunity that iOS has to offer. Do you want to develop iOS apps for multiple devices? Then get in touch with our team and build amazing iOS apps. You can also take advantage of our team augmentation service for your development project on a contract basis and achieve business goals.

Author's Bio

Shoeb Ahmad, with an experience of 20 years in Digital World, heads Digital Marketing at Mobisoft Infotech. He has a rich experience in SEM, SEO, Social Media & other verticals of Digital Media. He also has been a consultant for a variety of industries, enterprises & startups. He loves reading & traveling. He often writes on various forums since he believes ‘Knowledge increases by sharing.’

Get in touch for detailed discussion.

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August 11

Machine Learning in Mobile Applications: The Next Wave of Enterprise Mobility

Employ the finest machine learning in mobile appli [...]

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Machine Learning In Mobile Applications: The Next Wave Of Enterprise Mobility

Artificial Intelligence (AI) and machine learning (ML) have transformed the mobile app development landscape. The mobile app developer relies on cognitive technology like ML to write powerful algorithms to create intelligent apps that can understand human behavior, assist users, and entertain them. Today we are going to explore such technology used in mobile app development. 

All About Mobile Apps and Market Trends

Mobile app developers create informative, productive, and entertaining apps for popular handheld devices like smartphones, wearable devices, personal and enterprise digital assistants. They also use the latest technologies and tools such as Java, Kotlin, Swift, PhoneGap, ReactJS, Xamarin, Flutter, etc. to build user-friendly mobile apps. 

Social media platforms and digital services are experiencing geometric progression in recent years. The smartphone’s power, productivity, and value must exceed the buyer’s expectation to be a successful product. Certainly, this trend paves the way for a need for more advanced mobile apps, which can provide heightened performance without requiring too much space or power.

With this in mind, the following state-of-the-art features will become standard in the next decade:

  • Market-friendly accelerated mobile pages.
  • Augmented and Virtual Reality apps for entertainment apps and games.
  • AI apps for advanced analytics and user assistance.
  • ML techniques to create complex, cognitive interfaces.
  • Cloud-driven apps for superior storage and connectivity.
  • Enterprise applications to connect productive teams.
  • Wearable devices for health and fitness benefits.
  • Intuitive m-commerce apps for shopping ease.
  • The confluence of smartphones and IoT devices.

The market potential of these mobile apps spans multiple sectors. By 2020, VR and AR apps growth hit an $18.8 billion market value. There has been a 300% increase in AI and ML investments. The big players in this sector include Google, eBay, Microsoft, Intel, Yahoo, IBM, Facebook, and AOL. 

Another key point, after 2019, more than 66% of business owners increased their investment in enterprise mobile apps. These apps’ market value will peak to the US $430 billion in 2021. The future of mobile development heavily focuses on security features too.

Growth Prospects

The growth opportunities across various industries are very positive. Integrated, location-based apps will become popular. Notably, Wi-Fi will go beyond traditional hotspots, and customized chatbots will also rise. Google and Apple Pay will overpower debit/credit card transactions for mCommerce. Around 65% of the media time spent accounts for mobile app usage.

  1. The market for mobile apps will surpass US$ 407 billion by 2026.
  2. The estimated CAGR for the next 5 years is at 18.4%.
  3. The focus will be on Healthcare, Engineering, Real Estate, and Retail sectors.
  4. Apps for Sports, Gaming, Military, and Education will gain traction.
  5. By 2021, the number of connected devices will exceed 25 billion
  6. Further, by 2022, IoT investments will rise to more than US$ 22 billion.
  7. Advertising, cloud, and non-cloud services will propel growth.
  8. Apps ensure faster access, compelling graphics, and HDD displays.

Technology and Mobile App Development: Two Sides of the Same Coin

  • AR and VR are major elements for app development. Millions of people used AR and VR for games and eCommerce apps. By 2024, the growth expectation is $191 billion. The manufacturing sector and health sector are the major areas where AR and VR powered mobile apps will become a huge hit.
  • Security is one of the leading variables to decide the success of an application. There are numerous reasons why security is becoming a prime factor, and blockchain usage helps a mobile app developer improve tracking and security. The growth of blockchain enables the growth of more sophisticated payment and money transfer apps.
  • Next to security, space is of major concern. Manufacturers try to enhance the mobile device’s primary storage limit in every new model, and yet, users find it insufficient. The use of the cloud allows apps to utilize less space. The trend of favoring apps with a cloud base started as early as 2014. Apps with heavy databases depend on AWS or similar services for backup. Such technology paves the way for enhanced collaboration and improved productivity in the future.
  • AMP allows app developers to stay competitive. It helps the developers to advertise, sell, and market products or services on the app, with ease. According to An Akamai study, even a delay of 100 milliseconds reduces the conversion rate by 7%.
  • Cross-platform application development reduces the time, complexity, and cost required to bring an app to the market. Consequently, this trend supports the app developers to generate better apps within a shorter time-frame. 
  • Billions of devices integrate and sync with the help of IoT and development of mobile apps for smart homes, smart automobiles and healthcare will see a positive trend.
  • Lastly, 5G technology, everyone is waiting for it. It helps to transfer data one hundred times faster than today. Such a faster data channel will enhance the development of ultra-performing apps, which would make a whirl in healthcare. The combination of 5G and virtual reality would bring new changes to 3D gaming apps and healthcare applications.

How Has Machine Learning Technology Revamped the Usage of Mobile Apps?

The AI subfield is getting recognition for constant, data-dependent learning. It uses real-time analytics to spot behavior, anomalies, differences, and regularities. ML is having a substantial impact on the development of 21st-century mobile apps. The shift from ML-powered computer applications towards smartphone apps has been rapid and highly productive.

With this in mind, machine learning apps revamp smartphone usage with the following efficient approaches:

  • The modern mobile users expect simplicity, convenience, joy, and functionality; Through machine learning app, they record hobbies, anticipate wishes, manage calendars, notify events, and recommend solutions.
  • Restless searchers want quick, relevant, and informative results. ML tools are effective in tracking typical actions and storing historical data. These tools correct spelling, respond to voice searches and offer lists of related outcomes.
  • M-commerce is a boon for those who want to buy and sell on the move. ML algorithms enhance the customer experience and recommend the best products. They assist in digital marketing through data analysis, real-time ads, and purchase pattern recognition to businesses.
  • Business leaders expect top-of-the shelf app functions. ML algorithms help with metrics, insight analysis, and intelligence gathering. They facilitate data accuracy, decision-making, product delivery, personalized services, and secure connectivity.
  • ML-powered mobile experiences are seamless, smoother, and intuitive. Their practical approach is suitable for high-speed smart devices. The machine learning in mobile applications helps developers build diverse, powerful apps through data filtration, algorithmic training, model selection, parameter tuning, and predictions.

Rise of ML-based Mobile Apps

AI and ML technologies will bring forth more stunning mobile apps. The investments in ML will reach US$58 billion by 2021. The industry’s growth will peak at US$20.83 billion, with a CAGR of 44.06% by 2024. Experts estimate the neural network market to grow to US$23 billion by the year 2024.

Machine learning applications will revitalize the eCommerce industry. Security, Finance, Photo, and Video apps will grow by leaps and bounds. To put it differently, IoT devices are smartphone-controlled so the market potential for ML-powered mobile apps is also huge. 

Top Machine Learning Applications

Without tangible results, investors will not continue their patronage. Thankfully, multiple applications satisfy their trust. These diverse ML-powered mobile apps are powerful and user friendly. Some of the top ML-powered mobile apps are:

1 Snapchat

This messaging app has excellent face detection abilities. Its filters combine ML algorithms with augmented reality. Photos get processed as data sets with individual color pixels. Repeated scanning, contrasting clues, and grayscale values get processed to identify faces. To emphasize, it also creates 3D masks using data training, scaling, rotation, alignment, etc.

2 Google Maps

Google studies and analyzes thousands of data sets. They use training models to aggregate location data. And later logical regression gets applied to make parking lot of predictions and related services.

3 Tinder

This dating app uses Smart Photos to find perfect matches and soul mates. Profile swipes get analyzed to reorder popular photos. The system continually learns and improves itself using inputs.

4 Netflix

This streaming service uses regression and learning algorithms too. It classifies content based on genre, actors, reviews, year, etc. The app learns from user action and behavior to recommend the movie and personalized content.

5 Oval Money

This financial app stores and processes user’s spending habits. It analyzes transaction data to offer convenient strategies to save money. In addition, its intelligent system also relies on tracking to improve financial literacy. And it helps the user make sound and safe investments at the right time.

Machine Learning in Mobile App Development

The current mobile app developers prioritize machine learning application projects for various reasons. The top smartphone brands have become very powerful, thanks to ML-powered apps. The internet is ideal for testing out powerful machine learning algorithms. 

How mobile app developers use ML to generate innovative apps?

ML helps reduce the gap between understanding user behavior and utilizing it to create a customized solution. App developers embed ML into mobile applications to create customized applications for each individual. ML depends on continuous learning. Based on the user’s everyday activity, the ML program learns and re-learns to create a customized solution. This advancement helps to create an adaptive app that can help to achieve an ideal omnichannel experience.

  1. ML helps in predictive analysis. This technology helps an application to process a massive amount of data and derive quantitative predictions that are customizable based on the user’s requirements.
  2. Developers can train ML modules to filter out spam and potentially insecure sites or emails. This technology leads to a pro-active security measure.
  3. Character recognition and NLP, combined with predictive analysis, will help create applications with the ability to read and understand language. It is a milestone in ML-based apps, and it helps to generate an array of different applications for different niches.

Have a look at these different machine learning techniques applied in diverse fields by mobile app developers:

  • Data Mining

    The mining of large datasets helps to identify patterns and connections. This process requires the collection, storage, maintenance, and analyses of relevant data. A good example of using the mining technique of ML is the travel app. The algorithm helps to collect client data and categorize it. Gender, age, social media profiles, and others are some of the variables to design custom applications and services. The operators receive business intelligence to modify tours and schedules. 

  • Tracking

    Tracking financial and banking data facilitates smarter businesses. The module uses the user’s credit and transaction data to offer friendly deals. This tracking feature helps to create customer-focused marketing and targeting for various products and services.

  • Analyses

    Data analytics is essential for eCommerce and m-commerce. Big Data analyses help retail giants like Amazon satisfy their customers.

  • Search

    ML techniques help improve search outcomes for products and services. They learn to display the most relevant results based on the search query, screen scrolls, clicks, etc. It is possible to tailor the available information based on the searcher’s preference. The programs understand the searchers’ past behaviors, history, and other activities to deliver a customized ranked search result. 

  • Monitoring

    Data monitoring and ML-powered defense systems improve security and antivirus apps. With the help of programmed modules, the user can trail online activities and install alarms to trigger if any fraudulent activity appears. 

  • Security

    Voice recognition, biometrics, and audiovisual data can be helpful in-app authentication. Certainly, security becomes possible in a platform where real-time changes take place to the input. This application is useful in a secured data transfer app, file storage, and others.

How Mobile App Developers Benefit From Machine Learning Techniques? 

The machine learning technique of pattern recognition is a dynamic learning experience. On the other side, predictive analytics is applicable to financial, marketing, and banking data, face detection, image, and object recognition methods are essential for reliable security. The percentage of mobile app developers relying on ML techniques at various mobile app development stages is increasing. And therefore, developers benefit from these sophisticated processes in the following way:

1 Creating wireframes for apps

ML helps to develop wireframes for apps. It uses big data to create a wireframe that incorporates strategies from R&D and conceptualization. The developers can use ML in running technical feasibility tests at each stage with high speed and accuracy.

2 Customer segmentation

Mobile app developers can create apps with an ability to provide personalized services for their customers. Notably, they can use the data from these apps to create personalized messages for customers and others using ML techniques. ML provides a growing in-depth knowledge of customer behavior, which is essential for strategy formulation and feedback. 

3 Profit

ML helps developers to collect and monitor the app usage data. Enterprises can identify profitable opportunities through app insights. They can collect information about users’ spending on mobile apps. The improvised personalization helps to allure the customers into seeing the products that have a very high probability of attracting them. Henceforth, users stay on the ML app for a considerably longer time compared to other applications.

4 Fraud control

ML techniques help a developer to create apps with crucial security features. A fraud-control app with pro-active security features will have higher trustworthiness among the users. It improves the brand value of the app. Another key point, a fast authentication process is very crucial while developing eCommerce sites, which is possible through ML.

5 Cost-effective development process

On-device ML solution helps in reducing the complexity of data processing and thereby requires lower bandwidth. It benefits the developer in avoiding expensive cloud services. It is possible to use a small team to scale the development without the need for cloud infrastructure.

6 Effective app testing

ML helps developers to generate a customized module for testing their ML apps or use a general AI- testing module. Either way, the module helps to run exploratory tests to find random behaviors without the team spending a massive amount of time running unnecessary steps.

7 Efficiency

Mobile app development can enjoy heightened accuracy without the team sacrificing long labor-intensive working hours or complicated processes. It is possible to reduce manual and numerical error to almost zero and add more innovation to curb real-time problems.

8 Virtual assistant

A virtual assistant might not be helpful in the development phase. The ML-powered chatbots help to communicate with a wide customer base with a small team. Manual errors can reduce to zero, and it becomes possible to provide an ample amount of information to the customers within a short time and with no space for miscommunication.

Why Use Machine Learning Technology For Your Enterprise Mobile Apps?

Machine learning started as a pattern recognition program, and today, the programmers train the modules to conduct a specific task. ML techniques can help to read big data and generate big-picture analysis within seconds. It is possible to adapt the ML module to accept new input and self-learn to generate a continuum of information. Information is the key to the growth of any business or development. The concept of a self-driving car is possible only with machine learning. Users receive online product recommendations during online shopping because of machine learning.

Machine learning can help to monitor, create, understand, and even react intelligently. For example, while composing a mail, if you write about attaching a document in the body of the mail and forget to attach it, the application sends out a message reminding you that you forgot to attach the document. ML can learn, understand, and use this information to predict our behavior. Why is machine learning important?

  • For personalized experiences

    Advanced ML algorithms analyze information from social media platforms. They facilitate a continuous learning process using digital units. To put it differently, customers who use apps can experience a personalized experience. They will receive recommendations and ratings in their social media app immediately.

  • Increase customer engagement
    Machine learning apps increase customer engagement. Customer engagement and experience can be enhanced through the function of information categorization. It is possible to convey the app’s real intent with approached buyers.
  • Superior search

    In the data-led world, a high-speed search with efficient UX is vital. ML-based apps facilitate seamless and rapid online searches; they improve contextual results and optimize search outcomes too. The customer receives a balanced list through the history of data access, analysis, and ranking.

  • Visual authentication

    ML methods include facial recognition and word translation. Developers can write apps with visual and auto-recognition. ML enables account access and a secure authentication process. M-commerce apps become more reliable, convenient, and user-friendly.

  • Advanced data-mining

    Big Data is the new norm in the world of mobile communications. Refined data mining techniques effortlessly analyze large information volumes. Data categorization and multiple user profile configuration become more efficient. Right strategies and robust data create first-rate mobile apps.

  • Consumer behavior

    Consumer’s online behavior, hobbies, and interests are valuable. ML algorithms exploit these preferences to assess customer’s attitudes. They use the insights to enhance advertising strategies, and lower and upper sales funnels to achieve higher profits. Location, search, gender, and app usage data analysis is possible with ML methods. Result-driven strategies ensure customer satisfaction, brand equity, and market reputation. 

  • Online security

    Mobile apps help streamline and secure audiovisual data. Voice recognition, biometrics, and digital fingerprints improve security. Banking, m-retail, and financial sectors benefit from selfie-style account access. They prevent identity theft and stop breaches in business, personal, and customer data security. Automated product tags, logistical optimization, and insightful business intelligence are some of the other benefits.

Conclusion

Summing up the discussion, the next-gen mobile apps will be smarter and powerful. App developers will employ the finest machine learning techniques. They apply predictive analytics, data mining, and facial recognition techniques and rely on neural networks and reinforced learning algorithms. The effective ML processes, including mining, tracking, analyzing, monitoring, searching, and predictions, benefit sectors like health, finance, m-commerce, banking, education, and entertainment. The next-generation mobile apps will have refined security, search, predictive, and customization features. And their UI/UX will be sharper, intuitive, informative, authentic, and entertaining. Are you planning to create a new app for your business? Try to create a profitable and self-learning app with ML techniques.

Author's Bio

Nitin Lahoti is the Co-Founder and Director at Mobisoft Infotech. He has 15 years of experience in Design, Business Development and Startups. His expertise is in Product Ideation, UX/UI design, Startup consulting and mentoring. He prefers business readings and loves traveling.

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August 11

Role of Technology in Business in Response to COVID-19

Various tools and technology in businesses have he [...]

Businesses around the world are relying on technology to ensure the safety of employees, expedite information distribution, and maintain continuity. In addition, governments have also invested in up-and-coming technology in the fight against COVID-19 pandemic. Here’s more to it.

How Technology is Helping in Combating COVID-19?

Financial advisors, utility service providers, retailers, and others who relied on in-person communications, are among the most hit in this pandemic. However, many businesses escaped slowdown. And much of the credit goes to digital readiness and technology change in business.

Companies are adopting collaboration tools to support working from home and retailers are using contactless payment and delivery methods. With social distancing enforced, the use of drones for supplies is on the rise too.

So, here are eight ways how prominent the role of technology in businesses have been during the ongoing pandemic:

1 Facilitating remote healthcare services

In China, autonomous vehicles are delivering medicines and other essential goods in the affected areas. Apollo (a vehicle platform by Baidu) collaborated with Neolix to deliver supplies to a hospital in Beijing. In fact, Apollo cloud services are available to healthcare organizations for free. In addition, another company – Idriverplus – has deployed its automated fleet of street cleaning vehicles to disinfect hospitals.

Antwork drones, built by a Japanese company Terra Drone, were used to deliver required materials in the virus-infected Xinchang city. Drones are transporting equipment and medicines in other countries too. And in California, Nuro R2 robotic vehicles are delivering food and protective gear to a field hospital and other quarantined patients.

2 Monitoring body temperature among the crowd

Airports around the world have installed full-body infrared scanners to monitor passengers. These thermal imaging systems detect abnormal body temperatures and identify probable infected people.

Many countries, like India and China, have installed these infrared scanners in selected high traffic railway stations too. China’s Baidu designed an AI-powered infrared system to monitor a large population. It installed one such system at Qinghe railway station in Beijing. It can screen up to 200 people per minute without any chaos. So, apart from the full-body scanners, infrared thermometer guns are also used in banks, offices, hotels, retail stores, and other public places.

3 Tracking people’s location

Technology is helping manage the mayhem by keeping track of infected individuals and whom they have interacted with. Aarogya Setu app in India is using a smartphone’s Bluetooth and GPS to detect other users nearby and alert if anyone is COVID-positive. The app keeps a log of the locations the device is present.

On the other side, Apple and Google have developed a system to use Bluetooth transmissions for contact tracing. The data is stored on the phone and accessible through official apps of health organizations. Italy has launched its Immuni app, based on this Apple-Google API.

In the same vein, Singapore is working on developing a wearable device for all its residents.

And the government in China has installed CCTV cameras at various locations to monitor those who are quarantined. That is to say, tech companies are also testing AI-based facial recognition systems to track infected people.

4 Conferencing and consulting digitally

In this worldwide outbreak, technology is bringing video conferencing and networking together for digital interactions. Virtual events have replaced the in-person ones.  Google Cloud Next ’20 conference was hosted online under the name Digital Connect. Followed by, Collison, a North American tech conference, went virtual with the help of digital tools.

Fintso, a web-based financial software, is helping independent financial advisors to communicate with their clients effectively. National Health Service (NHS) has made Microsoft’s video conferencing software – Teams – available to all its staff in the UK. They use instant messaging and audio/video calls to share updates of the patients from anywhere. Many doctors in China have started using Zoom for online consultations.

5 Promoting online learning

Schools and university campuses have opted for online tutoring mode. Many institutions are using video conferencing tools like GoToMeeting and Microsoft Teams, others have built dedicated learning platforms. Hence, many independent online learning websites have seen significant growth in their user base during this period. BYJU’S, an online tutoring platform in India, reported a 200% increase in new enrolments.

6 Streamlining remote working

Companies use technologies like virtual private networks, collaboration tools, and cloud conferencing to manage remote working seamlessly. More employees are now successful in adapting the practice of working from home. For example, Cisco improves its Webex software to support the businesses and offers them 24/7 assistance. Project management tools like Trello and team communication apps like Slack have also made it easier for teams to work remotely. Apart from providing more flexibility in work, technology is also saving commute time for remote workers.

7 Enabling contactless movements

Technology has also enabled safe movements in many places around the world. Self-driving vehicles, robots, and drones are being used worldwide to deliver essential items. To maintain social distancing, people are inclining towards online shopping and ordering. And the emerging technology in business is helping online retailers, food aggregators, and restaurants to make contactless deliveries.

The growth of e-wallets and other digital payment methods has also paved the way for a truly contactless delivery ecosystem. Customers place an order, make their payment online, and an agent delivers it at the door. Many companies are focusing on picking and dropping goods at designated locations, instead of hand-to-hand deliveries.

8 Increasing transparency in data

Miscommunication and sharing wrong data during a virus outbreak can be catastrophic. And technology is playing a role in fighting against it. Popular services like Google, Facebook, and YouTube are creating a transparent scenario by displaying accurate information to the users. Artificial Intelligence (AI) and Machine Learning (ML) are being used to identify fake news and keep them from spreading.

Besides, other social platforms have joined hands with the World Health Organization (WHO) to provide verified facts to users and businesses. In India, telecom operators are playing coronavirus caller tunes to spread awareness.

How Is The Government Employing Technology During The Pandemic?

Using technology in business has helped companies to be in touch with customers and employers. And governments are turning towards technology to contain the spread as early as possible. Data-driven analytics, coupled with AI and ML, are being used to track the cases and provide on-time support.

  • Monitoring coronavirus cases

    The South Korean government used a combination of records to track the movement of infected ones. Data from credit card transactions, smartphone location logs, CCTV recordings, and others were cross-referenced for confirmation. The government in countries like China and Ghana too have launched contact tracing through mobile phones.

    In Liechtenstein, biometric bracelets are being developed for citizens. The aim is to monitor COVID-19 in real-time and keep track of potential cases. Similarly, in Hong Kong, quarantined people are provided with wristbands to track their activities. During this global pandemic, technology has provided a two-way communication medium between governments and citizens.

    Mobile apps are increasingly used to maximize awareness as well as tracking. In India, the government has recommended downloading the Aarogya Setu app to keep a watch on potential hotspots of the virus growth. The app is available in 11 regional languages. And a toll-free Interactive Voice Response System (IVRS) has also been implemented for citizens who do not use smartphones. The Indian government is also using railway reservation data and airline booking records to monitor the quarantined. In America, the government is seeking aid from tech giants like Facebook and Google about possibilities regarding the use of location data from smartphones.

  • Providing critical support

    Apart from tracking location, governments are also taking help from technology leaders or service providers to ensure on-time support and consultation. The UK’s NHS staff team is using Microsoft Teams to be in touch with their peers and other doctors. Through messages, calls, and video conferences, they are sharing regular updates.

    In China, remote-controlled robots are being used to examine infected people. From performing ultrasound scans to collecting mouth swabs, these robots are proving to be a superb aid to the medical staff. Italy, similarly, used robots to monitor patients’ health and deliver food.

How Has Technology Changed Consumer Behavior?

The virus outbreak, social distancing, and lockdown have affected the purchasing pattern too.

More people are turning towards online stores. This trend is observed across all nations, including the US, India, and Japan.

As per the research conducted by Accenture, the online buying activity of the infrequent eCommerce users is expected to grow to 160%.

Also, the customers are getting in touch with local stores over social media and messengers. The use of digital payment solutions and contactless home delivery methods have seen an exponential rise during the coronavirus crisis.

With the switch to working from home, employees have adapted to their new environments. And the increasing use of social media and online streaming platforms, both have led them to new ways to entertain online.

Apart from watching shows, many people have developed new hobbies and skills online. 48% of the consumers are learning new skills or taking online education as per the above Accenture research. And 62% are trying new recipes while at home. All such activities have been possible thanks to the developments in Information and Communications Technology (ICT).

How Has Technology Impacted Operational Processes of Various Industries?

Technological advancements have brought significant benefits to day-to-day operations during this COVID-19 outbreak. From reducing human intervention to increasing productivity and minimizing errors, technology in business plays a critical role. Here are some emerging technologies which have impacted the industrial processes:

  • Industrial Internet of Things (IIoT) 

    With support from sensors, analytics, and high-speed network connectivity, the Industrial Internet of Things (IIoT) is being used for remote management and assistance in real-time. You can build a digital twin of your factory and control it remotely. With AI and ML, you can also create a predictive maintenance schedule.

  • Artificial Intelligence (AI)

    Industrial IoT, AI, and deep machine learning go together. Couple them with recognition of a face, other patterns, and movements, and you will be able to leverage machine vision. You can thus delegate routine tasks to robots and supervise them remotely. As they master skills, they can run more complex setups.

  • Machine Learning (ML) 

    Through continuous learning and predictive analysis, ML and AI technology in business, collectively help industries to be on time. Machine learning algorithms can ensure production and supply chain efficiency by processing data and improving themselves over time. You can employ smart robots to automate many tasks.

  • Augmented Reality (AR)

    With AR headsets, wearables, and associated software, experts can create projections and train on-site workers and robots remotely. Through a combined setup of AR software, virtual overlays, and IoT devices, different teams can collaborate and maintain regular business operations without being on-site.

  • Big Data Analytics

    Big data enables businesses to make informed decisions through analysis of data related to production, waste management, demand patterns, and others. By implementing suitable big data analytics, companies have improved performance and streamlined their business operations.

  • Blockchain

    From cost efficiency to data privacy, Keeping records to save time and blockchain technology in business brings various benefits. It is a distributed ledger with tamper-proof records. And you can track the transactions and deliveries online, without errors, while also keeping your suppliers, customers, and employers well-informed.

  • Sensor-based tracking

    Real-time sensor-based tracking prevents misinformation and miscommunication. It helps in mapping products to the exact location and managing a supply chain globally. You can use sensors to monitor real-time status, track a product location, and provide accurate information to customers even without human involvement.

How Will Technology Continue Redefining Business Post COVID-19?

During this global crisis, the use of technology in business is reducing the spread of the virus, while keeping businesses afloat.

Usage of digital payments, delivery by autonomous vehicles, and adoption of remote working tools are growing. And this growth will continue post-COVID-19 as well.

Self-driving autonomous vehicles have proved their efficiency in delivering supplies in virus-infected areas. And seeing them on roads will soon be normal. They can be used in delivery, pickup, or movements in hazardous environments.

The usage of drones has also been fruitful during this ongoing pandemic. From surveillance and monitoring to delivery in remote areas, drones are being deployed for a multitude of tasks. And the commercial adoption of drones is bound to grow with time.

Also, the dependency on cloud services will continue to post the coronavirus crisis. Cloud technology in business has enabled a seamless transition to work from home. And it is aiding in remote management of facilities too. 

Telecommuting and remote workforce collaborations will be more common than ever. Many businesses, thus, need to invest in creating secure dedicated networks online.

With the developments in AI and ML, IoT devices, too, will continue to flourish. They are already proving their efficiency in industrial tasks. AI-based virtual assistants and smart medical chatbots also will see significant growth in the post COVID world.

Wrapping It Up,

Technologies like AI, ML, IoT, and Cloud have provided a boost to the operational efficiency of businesses. And the pandemic has made businesses grow out of conventional strategies and incorporate more technology in day-to-day business. And you can expect a digital business transformation post this COVID-19 crisis. So, get working on building a digital infrastructure, and be prepared to thrive in the new normal.

Author's Bio

Shoeb Ahmad, with an experience of 20 years in Digital World, heads Digital Marketing at Mobisoft Infotech. He has a rich experience in SEM, SEO, Social Media & other verticals of Digital Media. He also has been a consultant for a variety of industries, enterprises & startups. He loves reading & traveling. He often writes on various forums since he believes ‘Knowledge increases by sharing.’

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