Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(6)

Manufacturing(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(41)

Insurtech(67)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(25)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(154)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(24)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

5 AI Trends Reshaping the Insurance Sector in 2019

NewVantage Partners Executive Survey 2019 report states- 92% of the C-Level Executives are increasing their pace of investment in big data and AI. Artificial Intelligence brings forth revolutionary benefits to enterprises like personalization, automating customer interactions, real-time assistance, and much more.

Here are 5 flourishing artificial intelligence trends in insurance.

Infographic for 5 AI trends in Insurance

#1 Data from Smart Devices

Smart devices like fitness bands, home assistants, smartwatches, etc. are meteorically becoming integral to our lifestyle. Smart clothing and medical devices are soon going to join the bandwagon.

The insurance sector can dive into the data generated by these smart devices to better understand their user preferences. This data can further help insurers create new and more personalized product categories. 

#2 UAVs for Extreme Surveillance

AI-driven unmanned aerial vehicles (UAV), also known as drones can examine sites, which are otherwise extreme for humans to visit. Using such technologies for geological surveys can make the underwriting process more accurate. Also, deploying drones and robots can revamp insurance risk management strategies. 

“It is estimated that by 2025 the number of autonomous vehicles will increase by 25%”

Source: doi.gov

#3 Channelized Data Sharing

Everyone needs data. Every industry is thriving to provide personalized products and services to its customers. Thus, one can expect private and public entities collaborating to create common platforms for data sharing. 

The data-sharing platforms are GDPR-compliant and adhere to a common cybersecurity framework. Tech giants like Google, Amazon, and Apple have already sailed into this venture. They are able to bond with the lifestyle of users through cloud connectivity and smart devices and wearables. Technology can track instances of customers’ life. Guided data sharing can enable insurance companies to provide real-time assistance to their customers.

#4 Evolution of Cognitive Technologies

Cognition is an important aspect of Artificial Intelligence. Cognitive technologies in AI mimics how the human brain works. The recent improvements in technology can provide a better framework for processing humongous data, specifically gained from active insurance products tied to definite individuals.

With cognitive technologies, carriers can constantly learn and adapt to the world around consumers. This can enable insurance companies to not bring new product categories and engagement techniques but also respond to changing underlying risks in real-time.

#5 Blockchains or Distributed Ledgers

Breaking the traditional barriers of silos and centralization, 2019 is leaping towards the combination of the best of AI and blockchain for businesses.

For example, Smart contracts can automatically determine whether an asset can be transferred to a nominee or back to the source, or a combination of both. Blockchain can also simplify claims management, reinsurance, and underwriting.

Here’s more about how distributed ledgers can accelerate insurance workflows.

Well, the benefits of blockchain are not limited to large-scale insurance companies. Any InsurTech or FinTech firm or even e-commerce marketplaces can use blockchain to distribute micro insurances. The following infographic illustrates the projects successfully harnessing AI and blockchain.

Source: LiveTiles

We help startups and enterprises, build & scale AI-driven products and solutions for last-mile environments. Reach out to us on hello@mantralabsglobal.com to learn more.

Contributing Authors: Nidhi Agrawal (Content Writer @Mantra Labs)

Cancel

Knowledge thats worth delivered in your inbox

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot