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Strategic Technology Trends in Insurance

3 minutes, 47 seconds. read

“Strategic technology trend is one with substantial disruptive potential, that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years”, says Gartner.

These technology trends shall enable insurers to expand into more ecosystems than ever before. Let us explore such strategic technology trends, which will impact the insurers in the near future.

1. AI & RPA helps insurance find a digital edge:

AI and RPA are already a reality for insurance. AI has found its way into vehicles, homes, and businesses and in the Insurance industry as well, it solves the necessary day-to-day tasks of running a business by the automation of routine patterns. It is able to tailor solutions for individual customers and replace the one-size-fits-all products currently available.AI in insurance will allow carriers to deliver scalable and customized solutions for members and policyholders,” says Ramon Lopez, Vice President of Property & Casualty Claims and Innovation at USAA.

RPA tools currently occupy the Peak of Inflated Expectations in the Gartner Hype Cycle for Artificial Intelligence, 2018. RPA is widely adopted in various industries, insurance included. “End-user organizations adopt RPA technology as a quick and easy fix to automate manual tasks,” said Cathy Tornbohm, vice president at Gartner. In the insurance industry automation of the day-to-day tasks would potentially reduce cost, time consumption and increase accuracy, quality and competency.

2. Augmented Analytics- future of data analytics:

One of the latest advancements for business development tools is the advent of augmented analytics. As per a report from Deloitte “Augmented analytics marks the next wave of disruption in the data analytics market”. It is an approach that automates insights using machine learning and natural language generation. Gartner predicts “by 2020, more than 40% of data science tasks will be automated”, resulting in increased productivity and broader use by data scientists. According to Accenture, “1 out of 3 insurers globally now uses Big Data from IoT technologies, such as Fitbit, Samsung Gear or Apple watch to collect lifestyle data from insureds”. Augmented Analytics will help reap business value from those data by automating Big Data insights. The insurance industry is expected to be the biggest beneficiary as it will help increase the accuracy and end the traditional “gut-feeling” decision-making approach.

3. Blockchain for war on fraud:

Blockchain is one of the biggest fourth industrial revolutions for many industries, including insurance. Insurance fraud costs more than $40 billion a year. The insurance companies can use “the distributed ledger” to potentially lower fraudulent claims, cost, transaction settlement time and improve cash flow.EY, Guardtime, A.P. Møller-Maersk, Microsoft, and ACORD collaborated and launched blockchain-powered marine hull insurance platform Insurwave in 2018. The platform is now in commercial use and handled risk for more than 1,000 commercial vessels and 500,000 automated transactions in its first twelve months of operation. More than 38 insurance companies have embarked on an initiative called the B3i to explore Blockchain applications in insurance.In the past decade, technological advances from artificial intelligence to Blockchain have transformed business models in every sector and insurance is no exception. Dubai World Insurance Congress embraced the future of the industry with insights from the sector’s most established and innovative leaders,” said Arif Amiri, Chief Executive Officer of DIFC Authority.

International Data Corporation (IDC) analysis shows “worldwide spending on Blockchain solutions could reach $11.7 Bn in 2022”. Blockchain gives the insurance company an independently verifiable data set so they don’t have to rely on the customer’s version. It is emerging as the central repository of truth for many blockchain use-cases. According to Gartner reports, “Blockchain will create $3.1T in business value by 2030”.

4. Quantum Computing:

Quantum computing is rising on the Gartner Hype Cycle. It is expected to become one of the greatest disruptions of the age. Quantum computing has the ability to process huge datasets and models that would have previously taken days and weeks. It can help calculate risks, of almost any nature, such as the impact of an approaching hurricane on a specific region.

According to a recent Novarica executive report, “Quantum Computing and Insurance: Overview and Potential Players,” by Mitch Wein and Tom Kramer offer various use cases of quantum computing. However, not many insurers are working with quantum algorithms. They are still seen as technologies that are on the distant horizon and not in their face like artificial intelligence.

The insurance industry has a complex infrastructure and legal restrictions. However, with investments in these Strategic Technology trends, insurers can become more customer-centric, achieve growth and lower cost.

https://www.futureblockchainsummit.com/news/dubai-world-insurance-congress-calls-for-faster-digitisation

https://www.gartner.com/en/newsroom/press-releases/2018-10-15-gartner-identifies-the-top-10-strategic-technology-trends-for-2019

https://www2.deloitte.com/content/dam/Deloitte/it/Documents/technology/09%20-%20Dataviz%20-%20Qlik%20proposition_Deloitte%20Italy.pdf

https://www.gartner.com/en/newsroom/press-releases/2017-01-16-gartner-says-more-than-40-percent-of-data-science-tasks-will-be-automated-by-2020

https://www.linkedin.com/pulse/case-study-insurance-industry-denis-mwarania

https://tractable.ai/blog/together-towards-ai-notes-from-insuretech-connect-2017

https://www.dig-in.com/list/top-5-insurance-quantum-computing-use-cases

https://www.cbinsights.com/research/blockchain-insurance-disruption/

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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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