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Key Takeaways of Indian Insurance Summit & Awards 2019

India, despite being the 2nd most populous country on the planet, accounts for only 1.5% of the World insurance premiums, and 2% of World life insurance premiums. But, with the increasing numbers to serve, the insurance market in India promises huge growth and exciting potential – were only about 20% of Indians were insured last year.

Key challenges like market penetration, product innovation, risk and fraud need to be mitigated, for insurance players to achieve better growth, customer satisfaction and profitability.

The recently concluded Indian Insurance Summit and Awards 2019 aimed at having robust and key focused area discussions on these challenges, brought together the entire insurance industry network in front of a global audience.

Here are some of the highlights and takeaways from the two-day conference:

Key takeaways of India Insurance Summit and Awards 2019

  • Application of AI beyond claims and underwriting:

AI has paved its way far beyond claims and underwriting policies. The rising InsurTech wave is marking this change by tailoring solutions for individual customers and replacing the one-size-fits-all type of product that is currently available. AI also plays a major role in fraud detection and risk management strategies.

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.

Although, India represents a smaller share of this market, in terms of revenue in comparison to the North American region; India, (along with the rest of Asia) is expected to outperform Europe over the next five-year period.

  • Product innovation for the ease of insurance processes:

While the insurance landscape is experiencing radical changes in product innovation; innovation in technology is the next frontier.

Predicting the probability of future losses can help insurers improve pricing and accuracy; which precisely can be useful in case of risk, with little historical data from which estimates have to be drawn. Around 44% of the insurers say that they have started deploying predictive analytics solution.

California based InsurTech, Carpe Data, has fully automated systems that leverage social media to detect claim frauds and ease out specific insurance processes. Allstate insurance partnered with Carpe Data to generate meaningful insights and help them to mitigate risks in insurance processing.

“The insurance industry is used to working with historical data—the most important                challenge before them is to move from that model to a predictive one.”

Gilles Ferreol, Managing Director, CNP Partners

Bajaj Allianz introduced usage-based auto insurance called ‘DriveSmart Service’. The service monitors the car through a vehicle tracking-device and provides relevant diagnostics data on the performance of the driver.

  • Cognitive Insurance is a new wave of innovation:

Data is a vital ingredient for going Cognitive. The cognitive insurance business is one that allows underwriters to be equipped with a repertoire of AI enabled tools, empowering them to make better and more informed decisions about their customer.AXA Insurance has implemented a Google Tensor Flow-based application to optimise pricing by predicting large-loss traffic accidents with over 78% of accuracy. By leveraging a deep analysis of their customer profiles, AXA was able to understand which clients were are at a higher risk of large-loss cases requiring payment of more than 10,000 – which means, they were able to optimize the pricing of its policies.

Cognitive computing is at the “peak of inflation” on the Gartner Hype Cycle. The Cognitive approach to insurance business after the digital insurance business is the new wave to bring innovation and transformation purpose of going cognitive was created solely with the purpose of reducing human effort and refining the existing process across various insurance verticals.

  • Use a Sandbox approach to test customer’s interest:

To keep pace with the fast-evolving world of InsurTech, insurance companies should consider testing their products in a controlled environment or a “Sandbox”. This approach can provide certain advantages such as allowing insurers to launch unconventional products on a pilot-basis before seeking necessary approval.

The first insurance plan launched under this method, called “Insurance Khata” was directed towards those with seasonal incomes, mostly belonging to the underserved sections of Indian society. The buyers can pool multiple single plans in one account.

 “We want insurers to think out-of-the-box,” said Nilesh Sathe, a member at the IRDAI.

This rather unique proposition encourages insurance companies to place the policyholder right at the front of their approach, consequently not allowing regulation in being a constricting force in their innovation journey.

Data, by its very nature, is both an asset and a liability, which presents inherent risks in its handling and management. Risks that can be quite severe, in a business foundationally based on dealing with uncertainties.
Insurance is one of the richest data-driven businesses, and the consequences of a data breach extend far beyond the reputational damage that results from negative news headlines.

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

In the past couple of years, the insurance industry has fallen short, by being on the defensive, of handing cyber-attacks and cyber-frauds. The industry cannot afford to take be reactive for much longer – at some point, they need to be thinking ahead of their adversaries.

The non-partisan agenda of the Summit was to explore challenges and their deterrents like market penetration, product innovation, risk, and fraud. The discussions were designed to draw out clear outcomes for the industry together – in order to realize growth, customer satisfaction, profitability and deliver definitive business value. Mantra Labs was proud to sponsor the successful Summit and partake in the insightful conversations held between insurance leaders from all corners of the industry.

We hope to see you all again, in the next edition!

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

Together Towards AI: Notes from InsureTech Connect 2017

Strategic Technology Trends in Insurance

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Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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