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5 Ways in which AI and Machine Learning is Transforming App Development

Over the past several years, artificial intelligence (AI) and machine learning (ML) has created a massive impact in the tech industry. The demand for experiences that are tailored to an individual user is mushrooming every day. Plus, the world of mobile apps has continuously progressed over the past decade – All this, thanks to the evolution of AI and Machine Learning. 

However, we’re still oblivious to the extent these technologies impact our day-to-day lives. What was previously seen only in sci-fi movies, has now entered the real world. Today everything from the media, to the way we travel, to chatbots, advertising, and self-driving cars are leveraging the capabilities of AI and ML. 

According to a recent Deloitte Global Mobile Consumer Survey; as much as sixty-five percent of smartphone users across 16 developed markets have used a mobile application that leverages ML or AI. The most common functionalities being, predictive text and route suggestion. 

Two crucial factors are driving this fast adoption. Firstly, access to high-quality, adaptable learning models, and the other being the need to manage large amounts of data more cheaply and effectively, instead of investing heavily in massive infrastructure.

Intrigued yet? 

But before we delve deeper into how these technologies have transformed app development. Let’s have a closer look at how popular mobile apps, which we utilize every day are leveraging AI and ML on their platform. 

  1. Facebook
    The social media behemoth applies AI and ML algorithms across its platform in numerous ways. Firstly, the “People You May Know” suggests you new friends by leveraging the ML algorithm, which analyses your interests, profile, current friend, and even mutual acquaintances. Other areas where Facebook uses machine learning are targeted ads, newsfeed, and facial recognition.
  1. Spotify
    The popular music streaming giant leverages three different ML algorithms to provide users with personalized music recommendations that fit their taste. Spotify employs three ML algorithms to bolster its recommendation engine, namely, raw audio models1, collaborative filtering, and NLP. By leveraging the collaborative filtering algorithm, Spotify is able to provide apposite recommendations to users based on their preferences.
  1. Snapchat
    This millennial application uses supervised ML algorithms for computer vision, which they acquired from a Ukrainian startup, Looksery. Now, this algorithm discovers faces in pictures to add fun elements to it. 
  1. Yelp
    Yelp leverages AI toolkits and supervised Machine Learning algorithms to improve user experience with their “Recommended for You” collection. The algorithm examines the reviews of restaurants listed and discerns the favorite cuisine and how many times it was mentioned. In addition, it also utilizes AI to normalize and label user-submitted photos of dishes. 

Moving on to the star of the show, let’s understand a bit more deeply how these technologies are transforming app development.

1. Predicting Consumer Behavior

Did you know?  

There’s a prevalent joke amongst Amazon employees that goes like, “We can pre-order the next book you’ll read even before you think of buying it.”

How many times has it happened that you ended up buying that one more thing which Amazon recommended while you were shopping for something totally different? It’s like Amazon just read your mind!! And bestowed upon you something which you NOW cannot possibly live without!

Big tech companies, particularly Netflix, Facebook, Amazon, and Google have been able to effectively leverage Machine Learning algorithms and AI to drive consumer behavior and subsequently increase sales.

All these thanks to the magic of AI and ML. According to Elijah Manor, software engineers at LeanKit, “Machine learning algorithms are constantly streamlining and fine-tuning opportunities for up-sell and cross-sell strategies by automating the entire process. Leveraging RFM analysis as part of a machine learning initiative provides an almost accurate prediction of what might be the next product you’re likely to buy”. Furthermore, implementing AI models can be used to generate a virtual persona of the customer, which can be normalized into different categories like – the best, most loyal, biggest spenders, almost lost, lost customers, and lost cheap customers.

2. Advanced Searching

Advanced technologies such as AI and ML have made everything convenient and easily accessible. It’s not just humans, even our homes have become smart! 

Modern tech now tracks what you eat, monitors your heart rate, warns you when you are getting stressed, and makes it easier to communicate with those around you. They are a part of your image – we wear them as watches, t-shirts, earrings, even bracelets – and they know things about you that even your partner doesn’t.   

Have you ever wondered how Alexa figures when to showcase pictures of cute cats?

Once again thanks to AI and ML, a new method of searching is gaining ground i.e. image and voice search. Today, skilled app developers are incorporating this advanced technology and devising voice and image recognition systems in mobile apps. This facilitates in enhancing user experience, consequently boosting conversion rates for businesses.

Read more: Top 4 AI Trends to Watch Closely in 2021

3. Greater Personalization

AI has become an avant-garde across many industries. This is especially true for many financial institutions and online retail outlets that have successfully demonstrated the usefulness of it. Integrating these technologies into applications provides personalized experiences. Furthermore, Machine Learning applications designed by top app development companies facilitate marketers to better comprehend consumer preferences and shopping patterns by investigating different parameters of data including age, gender,  search frequency, app usage, and more and presents them products for upselling. 

Let’s look at a real-life example,

Have you ever purchased a laptop online? 

After your purchase, have you ever observed how you start receiving ads for laptop bags on your Facebook/Instagram feed? But how did a naive purchase end up in you getting ads for laptop bags?

Ecommerce and social media platforms leverage AI and Machine learning technologies to create a universal customer view to deliver personalized opportunities for upselling. In other words, your favorite eCommerce platform collects data of your purchase and inputs it into their  ML algorithm. Moving forward this ML algorithm compares your data set with thousands of other consumers who have made a similar purchase. Once the trend is confirmed, the algorithm derives the conclusion (on its own!) that – You would require a laptop bag for your laptop! Voila! 

Leveraging the data that you put into these platforms, these algorithms structure a consumer persona and accordingly showcases content that precisely fits your needs.

4. Enhanced Authentication

As Artificial Intelligence becomes more accessible as a commercial technology, organizations, as well as hackers, are leveraging it for their gains. The latter utilizes AI to find vulnerabilities in the network and exploit them for nefarious activities. While the former is focused on developing more efficient algorithms and sophisticated cyber defense systems to prevent such activities. 

According to Piyush Jain, Founder and CEO of Simpalm, a mobile app development company in DC “One of the major benefits of these technologies is that they can stay up-to-date on current malware threats and scan the system to discern how it would be vulnerable to any potential threats. In addition, AI and ML algorithms are being increasingly adopted to update security databases. By analyzing logs from various sources, it can efficiently detect when new threats are imminent. Additionally, SQL injections are one of the commonly exploited loopholes by hackers. While they’ve become easier to tackle – mobile apps leveraging AI can altogether remove it for good.”

Thanks to these advanced technologies, mobile app developers can look forward to creating a smoother authentication process and a better user experience for smartphone users.

5. The Smart Camera

Smartphone cameras are about to get much smarter!

This discussion won’t be complete if we don’t talk about the one area where AI is and will make exponential strides in the near future. 

Your camera is going through some major overhauls, especially custom android app development, and android phone manufacturers are making great strides in this area. The simplistic-looking camera on your smartphone can now discern the subject within the frame, whether it’s a cat or a dog, food or fireworks, and even differentiate one human from another. Besides enhancing your portraits, Artificial intelligence and machine learning can now conveniently identify and enhance specific facial features for superb portrait images automatically. Another undergoing transformation is that it can now adjust its settings accordingly to capture the best image possible.

In addition, there have also been recent developments wherein your smartphone camera would be able to count the number of calories you are eating from a simple photo of your food, or provide information to organizations as to how and where their products are being used when photos are posted to social media platforms.

Ending Note

Artificial Intelligence and Machine Learning present countless possibilities for innovation and creativity in the mobile app industry. It is the future of technology and mobile app development. Besides transforming the way users interact with several apps, Operating Systems, and devices, these technologies are facilitating organizations to lucratively improve efficiency.

This is the era where you will witness exponential growth in tech innovation. Increasing users’ demand is a vantage point for organizations looking to leverage AI and ML technologies for their business. If you haven’t yet, then hop on to the bandwagon, and enjoy the ride!

James Smith
I am a tech freak research analyst located in Maryland. I write blogs about new technology and tools, Digital media, start-up Business, and entrepreneurship. My work includes new technology for development, startups ideas, digital marketing strategies, IOS and android app designs, health gadgets, and entrepreneurship.

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