The chatbot market is predicted to reach a whopping 1.25 billion US dollars by 2025. These figures are not just mind-boggling, but they are proof that shows the relevance of chatbots today. Also, 45% of end users have already got comfortable with chatbots, and they prefer chatbots over other media for communication.

So, we can expect that by 2019 chatbots will reach another level of accuracy and efficiency. Here are the trends to watch out for chatbots in 2019:

1. Intelligent systems:

Chatbots are the future of impeccable customer service. But to make it at par with human customer support it needs to be super interactive and smart. Companies deploying chatbots are continually working on optimizing their bots so they could be an equal replacement for a human counterpart. It is predicted that in the next few years conversational AI-first” user experience, or CUX, will become mainstream in most organizations. CUX is an advanced version of UI which is designed to help and improve the user experience so that they can reach their end goals faster.

2. The rise of website chatbots:

By the next year, one can expect that several small, as well as medium-sized businesses who have not yet implemented chatbots, will look forward to adopting it. The emergence of third-party companies that help the organization to develop and build the industry-specific chatbots at affordable prices has made the adoption of bot technology easier. Chatbots are a great source to enhance the user experience and provides a 24*7 customer support as such all businesses need it.

3. Stricter guidelines:

The crux of chatbots is DATA and more data. The introduction of GDPR guidelines this year has made the usage of data restricted. Even with stricter guidelines, the importance of data will not plummet, and it will only increase. The companies will need to find responsible methods of data processing so that they adhere to the new guidelines and develop GDPR-compliant solutions.

4. Chatbots beyond customer support:

The coming year will witness the use of chatbots for several more processes such as the B2B and B2E business workflows. Some existing examples include the chatbots for CRM, Intranet and IT help desks. As cited by a leading company Juniper Networks that chatbots can reduce the business costs by $8bn by 2022 and 2019 will witness some fantastic advancements in that direction.

5. Mobile app saturation:

The mobile app market is saturating, and in the coming years, it is said that 50% of companies will focus their resources and finances on chatbots rather than mobile apps.

Reasons why chatbots are more preferred than mobile apps:

• Chatbots are more efficient and intelligent and are a better way to reach customers.

• Smartphone users do not want to exhaust their limited memory space with unlimited applications.

• 75% of Smartphone users use some messaging app.

• The UI elements of an application or a website is a collection of information. If all of this can be packaged together and provided in a messaging app, it will be much easier for the users. Wouldn’t it be great if you can manage everything from booking a movie ticket to buying groceries through a single interface?

• Also, chatbots do not need a download you need to message them through a messaging app and ask them to perform a function.

We cannot ignore the immense benefits that chatbots have to offer. The exploration around chatbots is unlimited, and we will see them unravelling one at a time. The experience that chatbots provide whether it is finding a travelling location or getting information is super smooth and comfortable. The personal touch that chatbots offer is another plus point that makes chatbots a perfect fit for businesses.

Smart Machines & Smarter Humans: AI in the Manufacturing Industry

By : Sampada S M

Published on Feb 19, 2025

AI Artificial Intelligence Manufacturing

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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