Artificial Intelligence – Futuristic technologies like Machine Learning (ML) and Artificial Intelligence (AI) are integrated into mobile apps to enable effective and automated solutions with enhanced user experiences. With immense potential, like understanding speech, discerning images, interpreting gestures, etc., AI/ML is transforming mobile app development.
Artificial Intelligence and Machine Learning use cases have spread in many industry sectors. It includes a wide array of applications, such as digital voice assistants in our smartphones, customer support chatbots, and industrial robots.
The global AI software market is expected to generate over $126 billion in revenue by 2025. Many well-established brands like Microsoft, IBM, Google, and Samsung are investing heavily in AL and ML research and development. Introducing AI/ML enhances processes and minimizes human error in many business sectors. Consequently, a customer-centric mobile app development company leverages intelligent technologies to provide users with seamless, advanced mobile app solutions.
Benefits of Creating AI/ML Integrated Mobile Applications
Artificial intelligence and machine learning are transforming mobile app development by introducing features that enhance the personalized user experience. Popular modern-day features, such as emotion sensing, voice search, etc., can be implemented using AI/ML technologies.
1. Data Security
Data security is critical for business since the world is becoming more intelligent and connected. As cyberattacks and data breaches grow more tenacious over time, AI solutions will be needed to protect data and systems.
AI can be used to encrypt personal data, reduce human error, and detect potential cybersecurity incidents. You can ensure the optimum security level of your application with advanced AI solutions like facial expressions analysis, biometric data, monitoring social media activities, etc.
2. Personalization
AI/ML applications use real-time data to analyze customers’ behavior, comprehend their preferences & needs, and offer tailored solutions accordingly. With predictive analysis, you understand future trends and provide your audience with advanced app solutions to excel your business.
3. Threat Identification and Prevention
AI and ML algorithms can detect patterns in data to identify suspicious behavior and malicious activities online. This can help you flag potential threats and alert security teams to take action immediately.
4. User Behaviour Analysis
Using AI Analytics based on ML algorithms, applications can analyze different patterns to trace out meaningful data. This data can help you map out customer journeys to build applications tailored to the audience’s needs. Many industries like eCommerce, healthcare, banking, insurance, and cybersecurity use AI/ML technologies to offer seamless user experience and secure applications.
5. Search Enhancement
You can hire a machine learning development company to create more efficient, accurate, and personalized apps for the user. By utilizing AI techniques, businesses can optimize content for voice search queries. Moreover, you can analyze speech patterns, language preferences, search history, etc., to present users with more accurate and applicable search results.
How can Artificial Intelligence and Machine Learning Elevate Mobile Applications?
Artificial Intelligence is becoming increasingly popular with a number of advantages, such as natural language processing (NLP), robotic process automation (RPA), etc. Integrating intelligent technologies facilitates the application’s ability to think and learn from experience, making the app smarter over a period.
1. Applications of AI and ML in eLearning Apps
Artificial intelligence in eLearning apps assists faculties in managing repetitive office or administration tasks like grading paperwork, arranging guardian meetings, regular issue feedback, managing enrollment, courses, etc.
In eLearning apps, AI/ML technologies are used to create a rich learning experience by generating innovative video/audio lectures. Moreover, it can be used to monitor students’ data thoroughly, improve learning habits, set reminders, track the frequency of revision, etc., to facilitate personalized learning experiences.
2. AI and ML in eCommerce
Personalized Shopping Experience
In eCommerce applications, AI/ML can be used to create recommendation engines that provide shoppers with personalized experiences. Hence, this can improve your app’s user engagement and enhance their loyalty toward your brand.
AI-Powered Assistants
Artificial intelligence uses natural language processing (NLP) to make advanced chatbots that handle real-time customer engagement. AI-powered chatbots assist users in improving their online shopping experience.
Fraud Prevention
eCommerce industries face significant issues like credit-card fraud and fake reviews. AI analyzes the transaction data to identify any suspicious activity or unauthorized use of credit cards. Moreover, AI can identify and filter out fake reviews, promising a reliable eCommerce application.
3. Applications of AI and ML in Navigation
GPS technology uses AI algorithms and machine learning to provide users with accurate, timely, and detailed information. Online navigation combined with Convolutional Neural Networks and Graph Neural Networks can automatically detect road obstructions, number of lanes, road traffic, etc. Hence, it can make navigation systems more reliable.
4. AI and ML in Gaming
AI/ML are heavily used to train gaming applications and improve their functionality. Using AI, game developers create intelligent, human-like NPCs to interact with the players. It can also be used to predict human behavior to enhance the overall gaming experience.
5. AI and ML in Social Media
Well-known social media applications like Instagram, Facebook, Twitter, etc., use AI/ML technologies to carry out various tasks like organizing feed posts, post translation, sorting hateful/ sensitive content, etc.
6. AI/ML Applications in Travel Industries
Artificial intelligence facilitates effective transportation systems by developing innovative app solutions. This helps to improve the travel and logistics industries’ operations significantly. For instance, Uber and OLA use AI technology to enhance user experiences with better communication, optimized decision-making, and seamlessly connecting riders & drivers.
AI/ML Applications to Give Competitive Edge to Your Business
The AI/ML market is advancing expeditiously, with well-known brands widely using its applications, including Hubspot, Microsoft, Nike, and Netflix.
You can use artificial intelligence (AI) and machine learning (ML) to make intelligent apps for your business. At the same time, these advanced technologies can help you manage operations with insightful information. You can hire a reliable artificial intelligence development company to develop an AI-driven enterprise app.
You can empower your business to offer improved customer services with user-friendly and excellent-performing apps. AI/ML technologies provide various benefits like real-time assistance, interactive UX, higher security, and more, giving a competitive edge to your business.
Author Bio
Helen Ruth is a Sr. AI/ML developer at SparxIT, a customer-focused mobile app development company. In her 8+ years of career, she has worked on 100+ projects with advanced technologies like AI, Blockchain, AR/VR, etc. In her free time, she loves to read about new technologies and share her knowledge with everyone.
The Impact of Artificial Intelligence (AI) and Machine Learning (ML) in Mobile App
