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The Importance of Data Ethics in Insurance

4 minutes, 38 seconds read

In a world where digitization is rapidly making its way into our everyday life, challenges come as an add on package. Amongst many others, Data and Privacy are the most raised concerns. Be it any sector, consumers need assurance that their data is safe with the company. Insurance is one of the sectors that banks highly sensitive data of its customers. Data breaches, wrongful processing of customer data, using the personal information of customers without consent, etc. puts a dent in the company’s image. We have seen the scandal caused by the data breach at Facebook. 

In September 2018, Facebook announced that an attack on its computer network exposed the personal data of over 50 million users. According to Facebook, hackers were able to gain access to the system by exploiting a vulnerability in the code used for the ‘View as’ feature. The attackers stole the ‘access tokens’, which took over the user’s accounts and got access to other services. 

The need for data protection in Insurance

‘Trust’ is an essential part of the Insurance industry, failure of which can lead to loss of customer loyalty and subsequently loss of business. Insurance companies need to process customer data for calculating premiums, customized policies, claims, etc. 

In India, The Information Technology Act, 2000 (IT Act) and the Information Technology (Reasonable Security Practices and Procedures and Sensitive Personal Data or Information) Rules, 2011 (SPDI Rules) set out the general framework for data protection. However, given the nature of the Insurance business and intermediaries, the Insurance Regulatory and Development Authority of India (IRDAI) has prescribed an additional framework for the protection of policyholder information and data, which Insurers need to follow in addition to the general framework under the IT Act. 

As India moves towards digitization, the IRDAI and IT Act are not enough to ensure proper compliance of data. The nation needs a comprehensive Data Protection law along with a governing body to oversee the implementation of the law. A draft of the Data Protection Bill was introduced in July 2018 which later was tabled on 11th December 2019 by the Indian Parliament. However, the Bill is being analyzed by a Joint Parliamentary Committee (JPC) in consultation with various groups. Indeed a groundbreaking step for our country, but it might have dangerous implications. The bill gives power to the government to access customers’ private data or government agency data on grounds of sovereignty or public order. 

The question is that will the government adhere to data ethics while processing this private data? The answer is unknown, but this step puts Insurance companies and TPAs under pressure to take steps towards data protection.

How can Insurers ensure data ethics

To ensure the privacy of customers and use data effectively, Insurers and intermediaries can adhere to the following measures-

Implementing risk management and IT security policies

Insurance is the most targeted industry by hackers. Also, with a lot of mobile workforce handling portable devices, monitoring data can be challenging. Companies need to protect data on the endpoint. The software should be installed on the systems directly and encrypting the data on portable devices such as USBs and hard drives. Growing risks in cybersecurity increased demand for Cyber Insurance policies. Cyber Insurance products are another such medium which helps in mitigating risks in the event of a cyber attack or a breach. 

According to a report by Data Security Council of India on Cyber Insurance in India, the Cyber Global Insurance market is prone to grow from a CAGR of 27% from 4.2 Bn to 22.8 Bn from 2017 to 2024. Insurers can also take measures such as setting-up internal policies and regular audits to keep a check on the data compliance. 

Consent mechanism for using policy holder’s data

A company might need data for internal purposes such as upgrading services for its customers. In such cases, companies should mention the purpose and set-up a proper mechanism for taking consent. Insurers can also give a status update on the project for which they used the customer data to keep the trust factor intact.

Using data-centric technologies

Human errors are unavoidable. But a second step validation can be set-up using disruptive technologies such as quantum computing, blockchain, Artificial Intelligence. These technologies not only ensure data security but also help in utilizing the customer data most efficiently.

[Related: 5 Proven Strategies to Break Through the Data Silos]

Ensuring transparency with customers.

In the event of a data breach, the company must inform the customers and take steps to contain the damage. In 2014, Anthem Healthcare was attacked which led to a data breach. They immediately sent out alerts to their customers informing of the possibility of their data leak. Subsequently, they also informed the media after 8 days. Furthermore, they contacted the FBI regarding the attack and hired Mandiant, a cybersecurity firm to assess the level of damage. As an essential part of data ethics, it is equally important to own the mistake and take appropriate measures.

[Related: AI in Insurance: Takeaways from AI for Data-driven Insurers Webinar]

Merits of the case: data ethics in Insurance

Data breaches can occur due to superficial monitoring of data flow; lack of accurate privacy design; poor internal audits; failure in conducting resistance tests; use of outdated security systems. 

The present crisis of COVID-19 has made data all the more vulnerable. As many employees are working from home, data security compliance has been an issue. Data protection bills and authority can act as watchdogs in the Insurance sector to avoid breaches. The Insurance sector should not see the law as a burden for additional compliance but rather an opportunity for long term customer trust. 

If you want to know more about the importance of data, and how to prevent data loss in other organizations that provide financial services, do read Financial services businesses must protect PII. DLP can help.

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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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