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A Reactive Approach to Security can Catch Insurers Off-guard.

On July 2018, SingHealth, the largest network of healthcare institutions in Singapore, had been under a severe cyber-attack and the personal data of around 1.5 million patients, including those of Prime Minister of Singapore, Lee Hsien Loong, was stolen. – Straits Times reports

The insurance industry is one of the richest data-driven business, and the consequences of a data breach extend far beyond the reputational damage that results from negative news headlines.

Insurance companies: An appealing target to hackers

Data is both, asset and liability, and the business of insurance is based on dealing with various uncertainties. In the past couple of years, the insurance industry performed badly in the cyber-battle. Despite having collected all the sensitive information, technology innovations and new business models caught insurers off-guard.

In September 2017, AXA suffered a cybersecurity breach in Singapore, in which the data of 5,400 of its customers were compromised. Such recent attacks highlight the fact that the companies which collect individual personal data are attractive prey for the cybercriminals.

A single security breach could cost more than a company earns in a year, however many organizations still don’t recognise the vitality of investments to combat the potential data security incidents.

Prevention of Data Breach:

Eugene Lee, director of business development at Connectivity Global, while sharing his insights to Insurance Business; on measures to be taken to mitigate cyber risks said:
“Companies which collect individuals’ personal data are an attractive target for cybercriminals and these companies should ensure that necessary steps are taken to mitigate these cyber risks.”

The insurance industry cannot afford to take a reactive approach. The insurance industry is entrusted by the customers with a vast array of non-public, personally identifiable information. By securing the customer and their financial data will not only protect the brand reputation but also add to the profitability.

To combat with the incidents of a security breach, the insurance firms must ensure that the policy and procedures relating to cybersecurity are clearly communicated to the workforce. They must formulate a sound response plan to recover their assets in case of an event of a breach.

According to the World Insurance Report 2018, Apple is partnering with CISCO, Aon and Allianz on cyber risk management solutions to protect the middle market and other enterprises from malware and ransomware.

The insurance company should prioritise its investment in efficient, professional, and specialized IT teams and consultants, to deal with new emerging threats.

A digital committee is the need of the hour for every Insurance organization.The Insurance Regulatory and Development Authority of India is requiring all insurance companies to appoint a full-time CISO. The CISO helps to understand the IT infrastructure and operations and build effective security in IT across the organization in support of business requirements and objectives.

Effective E-mail security solutions should be adopted, as over 90% of the malware are transmitted over this most common channel for business communication.
An AI approach for security in insurance is the new wave of innovation. AI adds to the power and speed required to tackle huge volumes of attacks of countless variety. One such application is Connectivity Global’s Receive Guard product, which is an AI-enabled email security solution.

No one has a crystal ball this accurate, to make future predictions as to how many data breaches we will see in the not so distant future, and how big are they going to be.
However, Insurance firms must rapidly increase their agility to adopt these new business models; to cater to the security breaches in insurance, evolving customer preferences and to deliver definitive business value.

https://www.insurancebusinessmag.com/asia/features/interviews/protecting-the-insurance-sector-from-cyber-threats-109124.aspx

https://www.businessinsurance.com/article/20180205/NEWSO6/912318975

World Insurance Report 2018

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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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