Tag Archive for: AI apps

6 Reasons To Use Artificial Intelligence In Mobile Apps

AI or artificial intelligence in mobile apps has many appreneurs, businesses, and developers asking questions. Many of these questions surround the feasibility and implementation of this trailblazing technology in today’s apps. There are also concerns that artificial intelligence is currently in a hype bubble. 

The good news is that leading large language model (LLM) platforms like Bard, ChatGPT, and Copilot make implementation easy via their well-documented application programming interfaces (APIs). But the bad news is that there’s significant hype driven primarily by AI evangelists and the media. This hype often misleads users, developers, and business leaders into thinking that AI is a silver bullet to their problems.

While there’s little doubt that AI can radically boost efficiency, productivity, and workflows, it won’t necessarily deliver the desired results. You can use ChatGPT to write an elaborate blog post about any topic imaginable, but it won’t always be factually accurate or contain the most up-to-date information. You’ll still need to fact-check all the information in your post, read through it a few times, and make several edits before you have an article that’s worth publishing.

As you can tell, some level of human intervention is still necessary regardless of how well LLMs have advanced. But you should still use artificial intelligence in mobile apps to deliver solutions that will make life easier for your customers, employees, and users. The solutions will automate arduous tasks, minimize business costs, and help users boost their creativity.

Mobile apps that facilitate the right mix of human interactivity and generative AI output will change the game in 2024 and beyond. Here’s why you should use AI in your upcoming app project.

1. Stay Ahead By Implementing Artificial Intelligence In 2024

The media may make you think generative AI is enjoying wide adoption, but this isn’t the case. It’s still an emerging technology that had a breakout year in 2023 but hasn’t quite hit the mainstream yet. Will 2024 be the year that this happens, or will the pundits be proven wrong?

Forrester analysts provide several predictions and arguments in favor of adopting generative AI soon:

  • More than 90% of enterprises plan to implement generative AI for internal uses and customer service. 
  • Almost 50% of enterprises predict that generative AI will help them attain their productivity objectives. 
  • Approximately 60% of employees will undergo prompt training in 2024. 
  • Bring your own AI (BYOAI) will become commonplace in many enterprises in 2024. 
  • AI will heavily impact the human resources (HR) departments by analyzing employee data. 
  • AI bots and tools will continue to enhance developer productivity, but companies should not ignore potential security issues.
  • Data protection and privacy will play a central role in 2024 as authorities push for legislation to deal with the risks associated with AI. 
  • Governance is essential to deal with copyright violations and to ensure a safer and more ethical environment involving generative AI. 

2. Artificial Intelligence In Mobile Apps Facilitates Efficient Content Creation

Businesses, marketers, and influencers must post regularly on social media to build and sustain a reasonably-sized following. Back in the early days of social media — this was easy — due to the minimal availability of feasible mainstream platforms. Just posting on Facebook and Twitter (now X) was enough to gain visibility. 

Nowadays, Instagram, TikTok, and YouTube have become indispensable for targeting Millennials and Gen Z consumers. So, you must be constantly active on at least five platforms to maximize your reach. But that’s demanding, as you must also post quality content relevant to your audience. Can you do this consistently while running your business or leading a team?

You’ll likely burn out wearing multiple hats during the workday, negatively impacting your health and productivity in the long term. One solution is to hire social media marketing experts to handle all your social channels. They’ll create content, post regularly, and engage with your audience, but all this is costly. Expect to pay between $500 and $5,000 monthly for these services. 

If you’re a small business owner or starting as an influencer or creative, even a $500 monthly fee may cause you to overshoot your budget over a long period. However, generative artificial intelligence in mobile apps can lead to a remarkable content creation and social media posting solution. If you team up with a reputable studio like NS804, you can build a generative AI-powered app custom-built to your needs. 

You may use multiple generative AI platforms to train your models based on your own text, images, and videos. Then, by inputting a sequence of prompts on your custom-built app, you can generate and post on-brand marketing copy, images, and videos across all your social channels with minimal work.

3. Create High-Quality Videos With Generative AI

We’ve already discussed why you should utilize more social media platforms, particularly the newer impactful ones. But you must create distinctive and humorous short-form videos to make it on TikTok and more in-depth and professional-level videos to captivate YouTube fans. For professional results, you must invest in video production equipment and lighting. Then, learn the skills to use these effectively with video editing suites. 

But that’s not enough, as you’ll still need to write a video script, build a set, and hire a cast and a crew. Of course, you can outsource most of this work to a professional video production company. Depending on the quality and length of your videos, you could pay as little as $500 and possibly over $100,000. Some production companies will work with you on yearly contracts and charge between $15,000 and $100,000.

As you can tell, it’s cost-prohibitive to compete with top trending video content creators and deep-pocketed enterprises. However, things have changed, especially after OpenAI announced Sora — a trailblazing text-to-video tool designed for generating intricate scenes. 

Sora shocked and amazed the entire video production industry and even caught the attention of Tyler Perry. The world-renowned filmmaker decided to stop the expansion of his studio since this would no longer be necessary with generative AI tools like Sora. He reportedly claimed that these tools save costs but will cause many job losses in the film industry.

While this sounds grim, Sora and similar tools will democratize professional video production soon. And this is an excellent reason to use artificial intelligence in mobile apps aimed primarily at video generation. These apps will find traction in most business environments but also with content creators seeking cost-effective solutions that simplify the entire video production process.

4. Generative AI Enhances The Employee Experience

As a business leader, you want your employees to perform at their best, even when facing organizational change or unsatisfactory task distribution. In more extreme cases, you want employees to perform adequately when key staff members aren’t available. So, you’ll need to implement the tools and methodologies to ensure all your employees stay on track under these scenarios.

Implementing communication and project management platforms like Microsoft Teams, Slack, and Trello is a first step. But your business is unique, so you still need a custom solution that addresses all its needs and covers the blind spots other platforms miss. That’s why you can’t ignore the power and versatility that generative AI brings forth. 

You can train your generative models on employee data by including their work roles, productivity, and skills. Your AI model will help you look at your employee data holistically and help you pinpoint any potential productivity bottlenecks or staff shortages early on. Be sure to comply with data and privacy legislation in your region when collecting and analyzing employee data. 

Another benefit of analyzing employee data is you’ll detect notable workforce trends that impact your organization. If you employ a large workforce, it’s often difficult to accurately determine employee retention rates and the overall success of your human resources (HR) department. Traditionally, you’d hire expensive consultants to figure this out for you — but now — your generative AI model will deliver detailed reports in record time and at little cost. 

Building a custom internal app allows your employees to collaborate and complete all their tasks, and you can pull all this data in real-time. The app can also let your employees provide feedback that will help you improve work conditions and the overall employee experience.

5. Use Artificial Intelligence In Mobile Apps To Transform Customer Service

It’s no secret that AI chatbots are very effective at offering customer service around the clock. But how well do they resolve customer complaints and deliver satisfactory service to rival a human agent? It ultimately depends on the capabilities of the AI chatbot platform you decide to use. 

You can choose from several notable chatbot platforms available today, like Botpress, Dialogflow, and UChat. Botpress is ideal for creating conversational chatbots for organizations of all sizes. Dialogflow is Google’s feature-rich solution for building versatile and scalable chatbots and voicebots. Then, there’s UChat, aimed at digital marketers and small business owners who want a simple solution that integrates with all their social channels.   

Of course, there are many more AI chatbots in the marketplace. But instead of trying to find a solution that’s a good fit for your organization, you could always build a custom solution that addresses all your needs. Moreover, you can avoid the monthly fees and limitations these chatbot platforms will subsequently impose on your organization. 

More importantly, you have some control over the intelligence of your custom AI chatbot solution. Before the availability of generative AI chatbots, traditional chatbots weren’t particularly smart since they followed set rules. Thus, these could never convince anyone that they were nothing more than customer-facing bots. 

Once the GPT-5 LLM is available, convincing human-like interactions will become the norm. But you can achieve impressive results depending on how well you train your AI chatbot using GPT-4. You’ll need to collect large datasets of human interactions and then prepare these for training by removing unnecessary datasets. After you train your model, evaluate the results before deploying to all your customer-facing channels.

6. Improve Order Fulfillment With AI

While your organization doesn’t have control of the entire supply chain, it can impact the order fulfillment process. And this segment of your business should run like a well-oiled machine that responds to all types of scenarios like delays, stock shortages, and logistics issues. As a first step, you must implement an order management system (OMS) that’s right for your company structure. 

Then, you’ll need to pick an order fulfillment strategy your organization can handle. For example, if you have enough storage space, employees, and skills, you’ll go with an in-house order fulfillment. But if you don’t have these resources, it’s better to outsource fulfillment to a third party. 

Regardless of your strategy, you should become proficient in forecasting and planning every step to avoid wastage and costly interruptions in order fulfillment. However, you can drastically reduce the guesswork by integrating AI into your order fulfillment operations. Of course, it’s best to do this from day one of your operations, but there’s little harm in integrating AI in due course. 

Using artificial intelligence in mobile apps that aid order fulfillment will help your staff quickly ascertain all current and future inventory levels. They can accurately predict when they’ll run low on inventory and when to order from suppliers. Thus, your company won’t have to turn away customers due to unavailable stock. 

AI-powered order fulfillment is essential for large organizations, but small retailers benefit also. For sustainability reasons alone, retailers must reduce inventory waste. A well-trained inventory model will alert them when they’re ordering too much or too little of a specific item. They can further improve the accuracy of this model with sales and store visitor data.

The Bottom Line

The hype surrounding generative AI is astounding, but so is the technology. We expect future iterations of LLMs to improve and impact even more industries. Also, we expect the use cases to grow exponentially as appreneurs, businesses, and users embrace AI in 2024. Contact us today to learn how NS804 can help you build and use artificial intelligence in mobile apps that will drive growth from now on! 

10 Kinds of Mobile Apps with Artificial Intelligence

Artificial intelligence is a branch of computer science that simulates human intelligence in machines to help machines perform certain tasks that require human intelligence. For instance, these tasks may include learning, decision-making, and problem-solving. In the context of mobile applications, AI is revolutionizing how users interact and adapt to their apps. This is achieved by building apps that can communicate, interact, and engage with the end user, all while responding diligently to user requests and input preferences.

Artificial intelligence in mobile apps captures a wide range of domains. For instance, these domains include: voice recognition, natural language processing, predictive analytics, computer vision, and machine learning. These technologies enable mobile apps to learn user behavior, interpret complex data, and make decisions.

Importance of Artificial Intelligence in Enhancing Mobile App Experiences

Artificial intelligence has improved the performance of mobile apps, delivering unprecedented levels of convenience, usability, and personalization. Some of the key ways artificial intelligence enhances mobile app experiences include:

Personalization

AI analyzes user behavior, interactions, and preferences to deliver personalized content, services, and recommendations. AI-powered mobile apps adapt to individual user preferences, making the user experience more engaging. Whether it’s suggesting workouts, curating menus, or recommending relevant products and services.

Predictive insights

AI enables apps to anticipate user needs and tailor proactive solutions. By analyzing past behavior and contextual data, AI-powered mobile apps can predict user behavior, automate tasks, suggest next steps, and streamline user experience. All while saving valuable time for other tasks.

Natural language understanding

Natural language processing algorithms enable mobile apps to understand and respond to human language inputs like text inputs, voice commands, and conversational interactions. Virtual assistants like Google Assistant and Siri leverage natural language processing algorithms to understand and respond to human language inputs and commands. This offers an intuitive and natural interaction model.

Enhanced functionality

AI enables mobile apps to perform functions and tasks that were once impractical. From image recognition and real-time translation to augmented reality and sentiment analysis. AI-powered features expand the capabilities of mobile apps, allowing them to address a broader range of user scenarios and needs.

Continuous improvement

Machine learning algorithms allow mobile apps to learn and improve based on user feedback and data insight. AI-powered apps can adapt to changing user preferences, technological advancements, and market trends. This is done by iteratively refining their algorithms and models. By its adaptive model of continuous improvement ensures that the user experience remains valuable and relevant.

10 Kinds of Mobile App with Artificial Intelligence

1. Personal Assistant Apps

Personal assistant apps have become commonplace on mobile devices. Their popularity is fueled by their ability to offer users a more convenient way to interact with smartphones, perform certain tasks, or access certain information through voice commands and text inputs. Examples of popular personal assistant apps include Google Assistant by Google, Siri by Apple, and Cortana by Microsoft.

These apps serve as virtual assistants, capable of performing a wide range of tasks, including sending messages, setting reminders, checking the weather, searching the web, and making calls. They utilize AI technologies such as natural language processing, machine learning, and speech recognition. This is done to understand voice commands and message inputs.

How AI Powers These Apps to Understand and Respond to User Requests

AI lies at the core of personal assistant apps, allowing them to understand and respond to user requests intelligently.

Here’s how AI powers personal assistant apps:

  • Natural language processing. Personal assistant apps leverage natural language processing to analyze and understand human language inputs, including voice commands and text inputs. These algorithms parse the syntax and semantics of user queries. They extract keywords, phrases, and entities to infer user intent accurately.
  • Machine learning. Personal assistant apps utilize machine learning algorithms to improve their understanding and response over time. These apps can learn to recognize speech patterns, understand context, and predict user intent more accurately. This is done by analyzing vast amounts of user data, including past interactions, preferences, and behavior patterns.
  • Speech recognition. AI-powered speech recognition algorithms allow personal assistant apps to transcribe words accurately into text. These algorithms can recognize and differentiate accents, languages, and dialects. They allow users to communicate with their devices effectively through voice commands.
  • Contextual understanding. AI-powered apps allow devices to interpret user queries within the appropriate context. They do this by taking into account factors such as time of the day, location, and user history. This contextual understanding allows the apps to provide more relevant and personalized responses, enhancing the overall user experience.

3. Virtual Health Assistants

AI-powered health apps have emerged as valuable tools for individuals willing to check and monitor their health and wellness. Additionally, these apps leverage machine learning and artificial intelligence to provide personalized insights, recommendations and support across a wide range of healthcare spectrum. They offer users convenient access to health information, monitoring capabilities, and proactive interventions. This helps empower users to take control of their well-being.

Features of Virtual Health Assistants

Symptom checker

AI-powered health apps often include symptom checker functionalities. These functionalities allow users to input their symptoms and receive potential diagnoses or recommendations. These apps rely on machine learning algorithms fetched from a large medical dataset to analyze symptoms. These algorithms further help determine severity and provide guidance on the next steps, such as seeking medical attention or self-care measures.

Medication reminders

Most AI-powered health apps come with medication reminders to help users adhere to their medication regimen. These apps send reminders based on individual medication schedules, dosage instructions, and refill dates. They help reduce the risk of missed doses and medication errors.

Fitness tracking

AI-powered health apps often include fitness tracking capabilities. These capabilities enable users to monitor their exercise routine, physical fitness, and overall fitness levels. These apps may utilize wearable devices or built-in sensors to track metrics such as calories burnt, heart rate, steps taken, and sleep patterns. AI algorithms analyze this data to provide insight into users’ activity levels, progress toward fitness goals, and recommendations for optimizing their workouts or lifestyle habits.

3. AI-Powered Navigation Apps

Navigation apps have emerged more significantly with the integration of artificial intelligence to provide users with more accurate and efficient route guidance. These apps utilize AI algorithms to analyze vast amounts of data, including real-time conditions, historical traffic patterns, and road closures. These apps provide users with the fastest and most reliable directions.

AI-powered navigation apps leverage machine learning techniques to continuously learn and adapt to changing traffic conditions, environmental factors, and user preferences. By processing and interpreting this data in real time, these apps can dynamically adjust routes, and predict traffic congestion. These apps offer alternative paths to help users reach their destinations with ease.

Benefits of AI in Improving Navigation Accuracy and Efficiency

Enhanced Accuracy

AI-powered navigation apps utilize advanced algorithms to analyze and interpret complex data. This leads to more accurate and reliable route guidance. By considering factors such as traffic conditions, road infrastructure, and user behavior, these apps can provide precise directions tailored to individual needs and preferences.

Improved Efficiency

By providing real-time traffic updates and optimizing routes, AI-powered navigation apps help users save time and fuel. This helps minimize vehicle emissions and reducing travel time. In addition, users can avoid unnecessary delays and congestion, resulting in more efficient and environmentally friendly transportation.

Enhanced User Experience

AI-powered navigation apps offer a seamless and intuitive user experience. They do this with features such as interactive maps, voice-guided navigation, and personalized recommendations. These apps make it easy for users to navigate unfamiliar territories, explore points of interest, and plan for multi-stop trips. They help enhance the overall travel experience.

4. Language Learning Apps

Language learning apps have undergone a massive transformation following the infusion of artificial intelligence. These apps offer learners personalized and adaptive learning experiences tailored to their individual needs and proficiency levels. Language learning apps leverage AI algorithms to track progress, analyze user behavior, track progress, and deliver targeted content that’s designed to optimize learning outcomes.

AI-powered language learning apps use machine learning techniques to adapt to each learner’s learning style, pace, and preferences, offering personalized learning to each student or learner. These apps can dynamically adjust lesson plans, provide customized feedback, and recommend supplementary resources. They do this by simply analyzing data such as performance metrics, user interactions, and proficiency levels.

5. AI-Enhanced Photo Editing Apps

Photo-editing apps have evolved with the integration of artificial intelligence, offering users the ability to edit apps with unprecedented ease and precision. These apps leverage artificial intelligence, machine learning, and AI algorithms to analyze images, identify scenes and objects, and automatically apply enhancement and corrections to achieve professionally-quality results.

AI-enhanced photo editing apps employ a wide range of techniques, including image recognition, semantic segregation, and neural style transfer to streamline and automate the editing process. By analyzing vast amounts of datasets and learning from professional editing techniques, these apps can intelligently enhance photos and provide users with creative tools to express their artistic vision.

6. AI-Powered Virtual Shopping Assistants

Virtual shopping assistants leverage AI to provide users with personalized recommendations, guidance, and support. These AI-powered assistants analyze user preferences, browsing behavior, and purchase history. Essentially, they mimick the role of an in-store shop associate in the digital realm.

By using predictive analytics and machine learning algorithms, virtual shopping assistants can understand individual user preferences. Additionally, they can identify browsing patterns, and anticipate user needs and preferences. These assistants use this information to recommend products that align with users’ tastes, preferences, and needs. In short, they enhancing the relevance and effectiveness of product recommendations.

7. AI-Based Financial Management Apps

AI-based financial management apps revolutionize the way people manage their finances by using artificial intelligence to provide personalized budgeting, financing, and savings advice. These apps analyze users’ spending data, income sources, and financial goals to offer tailored advice and recommendations aimed at improving the users’ financial health.

AI-based financial management apps utilize predictive analytics and machine learning algorithms to forecast future cash flows, identify trends in spending behavior, and optimize budget allocations to help users achieve their financial goals. These apps may also provide investment advice based on users’ investment objectives, risk tolerance, and market trends, enabling them to make informed decisions about their finances and investments.

8. AI-Driven Entertainment Apps

Entertainment apps have optimized artificial intelligence to deliver personalized and immersive listening experiences to users. These AI-driven apps leverage sophisticated algorithms to analyze user preferences, and user behavior, enabling them to recommend content, customize experiences, and enhance engagement across various forms of entertainment, including video streaming, music streaming, and gaming.

By harnessing data analytics and machine learning techniques, AI-driven entertainment apps can understand users’ tastes and preferences, enabling them to curate personalized content recommendations, tailor user interfaces, and optimize user experiences. These apps strive to create a more engaging and enjoyable entertainment ecosystem by leveraging AI to anticipate and fulfill entertainment needs and preferences.

9. AI-Powered Security Apps

AI-powered security apps leverage artificial intelligence to help with threat detection and intrusion prevention, safeguarding users’ digital information and sensitive financial information against cyberattacks or unauthorized access. These AI-powered technologies employ advanced algorithms to detect anomalies, analyze patterns, and identify potential security threats, enabling proactive mitigation measures and ensuring the integrity and confidentiality of users’ data.

By using natural language processing, machine learning techniques, and behavioral analysis, AI-powered security apps can identify emerging threats and detect suspicious activities. These apps provide users with comprehensive security solutions that combine malware detection, threat intelligence, encryption control, and encryption, and access control to protect digital assets and identities.

10. AI-Powered Mental Health Apps

Mental health apps leveraging artificial intelligence have emerged as valuable tools for providing emotional support and cognitive therapy to individuals coping with mental health problems. These apps offer a wide range of features and functionalities tailored to individuals suffering from mental health problems, including stress management, mood tracking, cognitive behavioral therapy, and personalized interventions.

By using AI models and algorithms, AI-powered mental health apps can analyze users’ behaviors and emotions, and provide personalized recommendations, coping strategies, and therapeutic interventions tailored to their unique needs. These apps offer a convenient and accessible way for individuals to manage their mental health and track their progress over time.

What’s The Future of AI-Powered Mobile Apps?

Looking ahead, it’s clear that the future of AI-enabled mobile experiences is boundless. As AI technologies continue to evolve and mature, we expect to see even more innovative advancements and innovations in mobile app development. From more sophisticated personalization and predictive capabilities to seamless integration with IoT and augmented reality (AR) experiences. AI-driven mobile apps will continue to push the boundaries of what’s possible, revolutionizing the way we talk, work, communicate, interact, and entertain ourselves on the go.

NS804 – Delivering Superior, AI-Powered Apps

NS804 is a leading provider of custom-built mobile app solutions. The company understands the changing landscape of mobile app development and offers superior AI-powered apps designed to suit your business needs. Whether you’re a small start-up or a large organization seeking a robust app with AI capabilities, we have you covered. We offer superior, excellent, and affordable mobile app solutions that are tailored to your individual needs. Our commitment to service excellent and unwavering dedication to customer service ensures that we offer a timeless app that solves real problems.

Contact us today for inquiries and questions about our AI-powered mobile apps.