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The growing impact of Artificial Intelligence in mobile apps

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2 minutes, 41 seconds read

Change is the need of time and advancement in technology is instrumental to drive innovation. Mediums of interaction with machine changes and calls for developers to be on edge to facilitate digital transformation. By the end of 2020, there’ll be over 6.1 billion smartphone users in the world, which will support almost every cutting-edge technology. In this article, we’ll discuss the growing impact of Artificial Intelligence on mobile apps.

Businesses around the world need a dynamic approach to ensure the best customer experience and AI is helping facilitate this strategy. Whether it is the health or manufacturing industry or logistic processes, Artificial intelligence is making operations and personalization a lot more convenient.

The impact of Artificial Intelligence in mobile apps

Extensive use of AI in mobile applications is becoming a new trend. Artificial intelligence is enabling mobile apps with precise, convertible, accessible, and customized options; thus, enhancing the functionalities and performance.

To avail the maximum benefit of AI in mobile technology, one needs a deeper understanding and right approach to improve mobile app user experience. The following are ways to leverage AI in mobile applications.

1. Accurate results

Artificial intelligence works on large data sets, considering every possibility and mapping. Industries like healthcare, which requires a high degree of precision, can harness AI to deliver accurate results. AI promises greater accuracy in medical diagnosis than traditional manual processes. Thus, while building mobile apps where accuracy is prime, AI can bring many positive solutions.

Also read: The Next Big Thing for Big Tech: AI as a Service 

2. Real-time forecasting

The integration of AI in mobile apps can help in real-time predictions. There can be multiple activities in a day, which are difficult to keep track of. By keeping track of the schedule, finding a correlation with external environments like traffic, weather, etc. a lot of time and energy can be preserved.

This attribute can be used in education applications to predict current affairs. Not only this, but AI can also help in correcting and formulating emails.

3. Customer experience

Most of the mobile apps are exclusively targeting customers and are designed according to the respective business modules. But, when it comes to customer behavior, every single individual is different from the other. AI can add the advantage of personalization in customer-facing mobile applications. Moreover, this is achievable at scale; i.e. the technology accommodates itself to individual user preferences.

More: AI in Mobile Development 

4. Personalized experiences

Search engines are becoming smarter and they’re incorporating AI and NLP to understand user intent and behavior on their platforms. Similarly, mobile apps can also leverage AI to understand their user and optimize search results based on their objectives. Users need not remember what they searched for a week ago because their app will do it for them. 

AI coupled with augmented reality is the next revolution in mobile apps. Users can get visual causes about the objects in a real-life situation. Apparel, cosmetics, and home decor industries are already deploying this technology to enhance customer experiences.

Final Words

The integration of AI in mobile apps is the need of the hour. The system will take time to evolve, but when it will, we’ll be dwelling into a whole new world of digital experiences. 

This article is contributed to Mantra Labs by Tayla Scurry. 

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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