Tag Archive for: 2022 mobile app trends

Machine Learning And Artificial Intelligence In Apps

It’s hardly possible to have a conversation about tech nowadays without mentioning machine learning (ML) and artificial intelligence (AI). In a way, tech companies and the media have been responsible for pushing AI & ML into the mainstream consciousness for at least a decade. And one could say that they have been overwhelmingly successful in achieving this goal.

But why should developers care about machine learning and artificial intelligence? After all, we’ve done fine with apps and games that had no or only limited implementations of AI for several decades. So what gives — why the sudden interest in AI & ML? And how could rudimentary apps benefit from AI & ML — wouldn’t this drive up development costs and utilize additional compute power? 

Let’s give you the short answer first? No, most simple apps won’t need an AI or ML implementation. While your to-do list app or ‘Frogger’ clone will benefit from an AI implementation, you’ll likely roll out a basic logic system or finite state machine (FSM). And if necessary, you could integrate AI agents into your FSM if you’re building a more complex game, simulation, or AR/VR app. 

But as a general rule, you’ll want to rely on simpler systems for most of your apps. However, if you’re creating something like a photo editing app that autocorrects imagery, you’ll want to tap into the power AI & ML brings to the table. Below, we go into greater detail about what this means for your app development endeavors!

What Is Machine Learning?

Before we begin, we need to explain what machine learning is and how it differs from artificial intelligence. Machine learning attempts to emulate the way humans learn. And similarly to humans, learning is an iterative process where accuracy improves gradually. 

But how would ML help improve an app? Consider a game where enemies and non-player characters (NPCs) need to respond like real humans. Or self-driving vehicles that need to respond to varying traffic conditions in real-time. 

A solution based only on AI would rely heavily on pre-determined behaviors, which isn’t ideal. We’d effectively have a situation where some enemy characters respond the same when trying to dodge the player’s bullets. And self-driving vehicles would run into problems when encountering any non-predefined obstacles.   

Ideally, we’d want the AI to mimic human behavior as closely as possible. That means we don’t only want pattern recognition but also the ability to distinguish the slightest nuances in those patterns. Something humans are very good at doing, as our brains can analyze all surrounding visible objects accurately and rapidly. We can quickly determine the distance, color, shape, size, and texture of one object when compared to another.

However, computer systems are only good at rudimentary pattern recognition. At least, that was the case until the introduction of machine learning. And that’s why it’s making inroads in the fields of data science, customer service, and even stock trading.

How Does Machine Learning Work?

Machine learning relies on the following processes to work effectively:

  • The first phase consists of the decision-making process that ingests input data. This data could either be labeled or unlabeled, and the ML algorithm will compute an estimation of the patterns detected in the data. 
  • Then, an error function will compare and evaluate any predictive models and assess their accuracy. 
  • Once done, the model optimization process will kick off. These predictive models will undergo weight adjustments to fit with existing data sets. These data sets come from the training sets, which contain the most accurate example of what the ML algorithm should achieve. Furthermore, the algorithm will repeat this process and update the weights automatically until it reaches the desired accuracy threshold.

What Types Of Apps Benefit From Machine Learning? 

As we mentioned earlier, machine learning isn’t necessary for most apps. But given that more users and businesses require features that automate specific processes, AI & ML implementations have become indispensable. And that’s certainly true for the following kinds of apps:

  • Automatic Speech Recognition (ASR): Most mobile devices come with apps that recognize human speech, such as Google Assistant and Siri. And the most common uses include voice search and speech-to-text functionality. But even third-party apps can benefit from natural language processing (NLP) to deliver optimal speech recognition.
  • Chatbots & virtual assistants: There’s a greater need for chatbots in customer service. And that’s because they can serve customers around the clock and in multiple zones concurrently. Moreover, they’re a low-cost solution to employing human agents. 
  • Imaging technologies: AI & ML implementations work great for applications that use or manipulate images. Many modern applications need to collect and analyze data from digital photos, videos, and visual inputs. Furthermore, they can enhance these photos and videos with limited or no input from the user. 
  • Recommendation engines: Many e-commerce and mobile apps feature recommendation engines to help users make the right choices. AI algorithms and past behavior data help the app place the most adequate information in front of the user.
  • Crypto & stock trading: More investors and day traders utilize their mobile phones to trade cryptocurrencies and other financial instruments. But AI-powered platforms allow users to engage in high-frequency trading while on the go.

Implementing Artificial Intelligence In Mobile Games 

It’s not necessary to implement machine learning in mobile games. And the reason for this is that older mobile devices don’t have CPUs and GPUs powerful enough to handle intense ML workloads. And that’s not taking into account the GPU processing budget for the graphics and additional overhead the underlying game engine brings forth. 

But it’s still possible to implement AI algorithms that make NPCs and enemy characters convincing enough. And since most mobile games tend to be simpler experiences than PC and console games, it’s unnecessary to implement complex AI algorithms that may cause high CPU usage. 

And the good news is that it’s a relatively simple process to implement algorithms such as A* pathfinding, Alpha Beta search, Minimax, and Monte Carlo tree search, without stressing the CPU. These work remarkably well in action, arcade, puzzle, strategy, and mobile board games. 

If you’re developing a role-playing game (RPG), you’ll rely heavily on a custom-made database to store character and enemy variables. And to manipulate any of these variables, you’ll rely mostly on formulas. You’ll find that these formulas resemble those found in Excel spreadsheets.

However, you’ll need to implement AI for your NPCs and battle scenes. But how complex your AI will end up largely depends on the realism of NPC behavior and the intricacy of your battle systems. And if you’re planning on adding epic boss fights, implementing convincing AI will prove challenging. Your team members will need to put their engineering caps on to deal with convoluted behavior trees.

In Conclusion

Machine learning and artificial intelligence help make apps a lot smarter. And these apps often feel like they have human-like intelligence, even though it’s a bunch of cleverly-crafted algorithms running in the background. 

As mobile app development matures, AI & ML implementations will be standard practice. And that’s because tools and frameworks are getting better, and system-on-a-chip (SoC) vendors are implementing neural processing for ML applications. Contact NS804 today to learn how we’ll help you develop apps powered by advanced AI & ML.

2022 Mobile App Development Trends

The global mobile app market is on a rising trajectory and will continue to boom in the years to come. According to Statista, global revenues from mobile applications will reach $613 billion before 2025, up from $316 billion in 2020.

With this development and projected growth comes plenty of opportunities for developers to optimize their app development efforts by delivering the best to the end-users. As 2022 unfolds, it’s critical to look at trends that will dominate the app development marketplace.

Why Cast Sight into the Future?

Software development personnel play a central role in driving revenues for their companies. Apps that fulfill a specific need, are unique in fulfilling particular goals, and extend a superior user experience will see the highest levels of adoption and retention. Simply, the more the users, the more the revenues.

You need to understand and adopt the latest trends in mobile app development to ensure your app ticks these boxes of usability, adoption, and retention. The better you translate these app trends into your app, the more users your app can attract.

2022 Mobile App Development Trends

2020 is undoubtedly the year that the more fringe applications will become more mainstream – artificial intelligence, 5G, augmented reality, virtual reality VR, and machine learning will see increased adoption to meet the evolving needs of the modern consumer.

As peoples’ lives become increasingly sophisticated, this complexity extends to how they shop, communicate, and access information. Below, we discuss crucial trends that will define the mobile app marketplace in 2022.

1. 5G Technology

5G technology is on track to becoming the gold standard for mobile communication, even though it’s not presently mainstream. The 5G technology market is poised to reach $620 billion by 2030. And with user-friendly benefits like low latency, faster data transfer, and increased performance speeds, the time for your app to support 5G is now. The 5G technology will change the way we build and use apps, efficiency and speed will substantially improve, and here are a few more things to expect:

  • 5G will be up 100 times faster than 4G
  • Latency will reduce from 50 milliseconds to 1 millisecond
  • With less latency, higher resolution, and superior performance – video apps will improve significantly.
  • Data transfer between devices will be faster and more fulfilling
  • 5G will allow developers to build superior features
  • Mobile payments will be more secure because of the faster processing of biometric data

Overall, 5G will make apps smoother, faster, and more efficient in their operation.

2. IoT and Cloud Technology

Mobile-connected endpoint devices and the internet of things (IoT) technology have been there for years, but their market is projected to grow to $1 trillion by 2023. The biggest drivers behind cloud and IoT adoption are security and increased concerns of business continuity processes. Indeed, with over $120 billion spent on IT security in 2019 alone, it’s easy to see why enterprises are looking for cloud and IoT as alternative security solutions. Cloud and IoT have other benefits including; improved efficiency, operational efficiency, and interoperability.

3. Blockchain Technology

Blockchain technology has emerged as a powerful force in protecting and safeguarding information, data, and resources. Blockchain is a digitally distributed and decentralized ledger located across a network. Blockchain is immutable, decentralized, and consensual, which means it can achieve faster settlements with enhanced security.

What makes blockchain a forerunner this year is that there has always been a security concern and misuse of data among app developers. Fortunately, blockchain solves security problems with its powerful characteristics – immutability, decentralization, and distribution.

Blockchain allows enterprises and organizations to create decentralized databases; which means that these databases do not need a company or a service provider to act as a gatekeeper. Blockchain solves a long-standing culture of data bureaucracy by bringing data control to the hands of users.

4. Augmented Reality AR and Virtual Reality VR

Pokémon Go was short-lived but it propelled the adoption of AR in mobile app development. Pokémon Go showed the world that we could use virtual reality to offer an immersive experience to viewers.

Today, there are several scenarios of brands using AR and VR to enhance user experience:

  • L’Oréal make-up app allows users to see their make-ups before purchase
  • IKEA uses augmented reality to let users see how furniture will look in their homes before purchasing
  • Lenskart lets buyers virtually experiment with glasses before purchasing them

This year, we will see AR and VR dominating the mobile app market in ways we can never imagine. The AR and VR market will rise from $25 billion in 2018 to $210 billion in 2022. Brands and businesses are expected to see a spike in VR and AR this year.

5. Artificial Intelligence AI and Machine Learning ML

In efforts to deliver personalized experiences to the end users, AI that utilizes predictive analytics algorithms will be an important element to consider. AI is important for speech recognition, navigation, and natural language processing. In addition, behavioral algorithms can improve security by analyzing user behavior and detecting fraud and information breaches.

6. PWAs and Instant Apps

Progressive web apps PWAs are becoming popular because they bridge the gap left by native web pages and apps. Benefits like faster loading time, reduced dependency on internet connections, and automatic updates make PWAs a darling to both consumers and brands.

In addition, instant apps are gaining popularity because they allow users to test the app before downloading it. While it appears that designing a simple app experience may reduce users’ app loyalty, it appears the opposite is true. Instant apps have a higher conversion rate and different testing requirements than native apps.

7. Mobile Commerce

Years ago, platforms like eBay and Amazon took precedence in the mobile commerce marketplace. But with exciting developments, the e-commerce trend has been phased out and substituted by mobile commerce.

As more shoppers prefer online shopping, retailers are adopting progressive web apps PWA (native apps) to improve user experiences. The mobile commerce marketplace is projected to hit $23 billion by the end of 2022 simply because many B2C and B2B companies have seen an increase in user engagement, revenue growth, and conversion rates after building an app for their business.

8. Wearable App Integration

According to Statista, there will be 1.1 billion wearables by 2022, and the most common connections made using connected wearable devices. Wearable app integration is another way to bring convenience to users, with users receiving updates, notifications, and messages about their health and wellbeing.

According to research, the ability to receive messages and notifications is the highest-ranking function of wearables in the United States. In the wearable market, fitness tracking has seen remarkable growth with the rise in health wellness among the general population. So, wearable app integration is likely to dominate most mobile applications as 2022 unfolds.

9. Beacon Technology

Since its inception in 2013, Beacons are gaining relevance among retailers and wholesalers alike. For consumers, Beacon transmitters connect and transmit data to connected devices, making interaction and location-based searching faster and more accurate. The convenience of mobile apps has accelerated the adoption of Beacon technology, making it a win-win for consumers and retailers. For businesses, beacon technology allows them to understand shopping habits – turning this data into a personalized shopping experience.

NS804 – Spearheading Your Mobile App Transformation

With the Covid-19 pandemic accelerating the need for consumers to move online, there is a new demand to deliver personalized and intuitive user experiences to customers. The 2022 mobile app development trends reflect this trajectory and increasingly focus on user satisfaction. Incorporating these trends in your mobile app roadmap will enable you to succeed now and beyond.