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

Can NFTs be insured, and who carries the risk?

Nike and RTFKT launched Nike CryptoKicks in the beginning of the year which is a collection of NFT sneakers called the “RFTKT X Nike Dunk Genesis,”. Owners can personalize these sneakers using ‘skin vials’ from different designers by adding new patterns and effects such as flashing lights and floating swooshes. Some of the NFT sneakers have already fetched more than $100,000. With so much spending in the NFT space, the biggest question that needs to be answered is ‘Can NFTs be insured?’

Nike CryptoKicks

The Past and Present

The first NFT-Quantum was published in 2014, but the NFT world has gained a lot of traction in the past year. The Merge created by an anonymous digital artist Pak was sold for a record-breaking $91.8 million in December’21, making it the most expensive Non-Fungible token (NFT) transaction to date. Beeple’s latest masterpiece artwork was sold for $69 million. 

The Merge

According to NFT stats compiled by Chainalysis Inc., the NFT marketplace grew to almost $41 billion in 2021, closing in on conventional art sales. 

The Scam Game

According to a report in Decrypt, the designers of the Big Daddy Ape Club scammed investors out of $1.13 million, making it the largest ‘rug pull’ in Solana blockchain’s history.

Recently, an attacker hacked into the Instagram account of the Bored Ape Yacht Club (BAYC) and stole about $3 million in NFTs. The hacker used a phishing link to steal tokens from victims’ cryptocurrency wallets. 

Non-Fungible Tokens can’t be traded interchangeably due to their unique numbers and codes. Because NFTs are so expensive, hackers and scammers have been actively eyeing the NFT world for their monetary gains. For buyers, digital security has become a serious concern.

Ensuring digital assets is an absolute necessity now, so the question here is whether NFTs can also be insured? The answer is, yes. Buyers may get compensated for fraudulent activities in the following situations:

a)In case, the private key is lost by the owner.

–When an NFT is created, it has dual keys: private and public. The blockchain ledger maintains the public key whereas the private key acts as proof of ownership.

b)When scammers sell replicas and fake digital assets.

c)Damages caused by intervention on the blockchain.

What’s happening in the NFT Insurance space?

Coincover provides corporate and consumer protection for NFTs through an insurance-backed solution. The company protects its partners’ wallets and the NFTs they possess from hacking, phishing, and other illegal activity, while also providing an insurance-backed guarantee in the event that something goes wrong. This is in addition to their disaster recovery service, which is a backup key recovery service that allows NFTs to be recovered in the event of lost passwords.

Due to increased demand from NFT holders seeking security against hacking and theft, Hong Kong-based virtual insurer OneDegree has teamed up with Munich Re to insure digital assets.

Recently, Amulet has secured $6m in its first funding round to provide insurance coverage in the Web 3.0 world which includes NFTs as well. The first Rust-based decentralized finance (DeFi) insurance protocol will utilize Solana’s PoS network to provide insurance service and stable returns. Using its unique Protocol Controlled Underwriting and Future Yield Backed Claim mechanisms, the firm will reduce the risk for underwriting capital providers.

The Challenges

A report by Technavio predicts that the NFT market will grow by $147.24 billion from 2021 to 2026 at a CAGR of 35.27%. With this growing demand for NFTs, there is a pressing need for NFT protection in the virtual world. Ensuring an NFT would be very different from insuring a conventional product or service. Insurers have three key challenges that they need to address when it comes to insuring NFTs:

  1. Uncertainty is involved in the valuation of NFTs since there isn’t any fixed market price. 
  2. Lack of structured and unified legal framework for ensuring NFTs.
  3. Ambiguity in the scope of the risks associated with NFTs is compounded by the fact that technology is evolving at a rapid pace.

The Road Ahead

The dynamics of the NFT market has changed in the past few months. After witnessing a fall in the NFT prices, user expectations have also changed dramatically where NFT utility is the latest lookout for the NFT customers. One of the most common utility is NFT being used as a gaming asset. Be it an art NFT or utility NFT, its loss may have serious repercussions not just for the owner, but also for the entire ecosystem, as NFT may lose its value if it is not secured. Open Sea – the world’s largest NFT marketplace lost $1.7 million worth of NFTs due to a phishing attack. A Bengaluru-based caricature artist found that one of his artworks was listed on Open Sea, without his knowledge. The media and insurance companies have been paying close attention to massive losses like these. NFT owners and creators will seek insurance to protect them as they become more aware of the risks involved in owning digital assets. With pioneers such as Coincover and Amulet leading the way, it’d be intriguing to see how the development unfolds in the NFT insurance space.

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