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Use Cases

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.
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Use Cases

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.
READ MORE

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Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

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Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

Read more

Load More

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

Read more

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TELECOMMUNICATION

According to sources, 19% of Telecom companies are adopting AI by 2023 and 58% of Service providers see AI crucial for Network Management.

ANALYSE PERFORMANCE DATA
AUTOMATION OF NETWORK MANAGEMENT
SPOT ANOMALIES IN NETWORK TRAFFIC
IMPROVE NETWORK CAPACITY PLANNING

OIL & GAS

Oil  & gas is one of the most lucrative industries, it is also one of the most dangerous. According to experts, 50% of Oil & gas industries say they have already begun AI to help solve challenges at their organisations.

OPTIMIZE PRODUCTION AND MAINTENANCE COST
ENHANCE QUALITY ASSURANCE
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DEFECT DETECTION
ABILITY TO MAKE BETTER DECISIONS

REAL ESTATE

Experts believe that 16% of the Real Estate companies are adopting AI in their businesses by 2023 and are expected to see a marginal profit of around 50%

IMAGE RECOGNITION & ANALYSIS
ANALYSE PATTERNS
RISK FORECASTING
OPTIMIZE SCHEDULES
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What we do.

We craft unisex leather bags and accessories for those, who appreciate premium handmade products, durable quality and urbane style.

AI for Healthcare

In the complex world of Healthcare, AI tools can support healthcare providers to provide faster service, diagonse issues and analyse data to identify trends or genetic information that would predispose someone to a particular disease.

AI ASSISTED MEDICAL DIAGNOSIS
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MEDICAL RISK PREDECTION
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AUTOMATED WORKFLOW ASSISTANCE
MEDICAL IMAGE ANALYSIS
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Use Case

Aircrafts require a vast spectrum of parts to operate ranging from high cost repairable parts to low cost fast moving consumables Apart from the fact that certain parts are highly expensive, failure to have the necessary part readily available can also translate into expensive AOG (aircraft on ground) incidents.

Manufacturing

Experts believe that about 40% revenue boot will be there upon adopting to AI in Manufacturing. Around 50% of the manufacturers are planning to Invest on AI for their processes.

DETECTS FAULTS
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REDUCE UNPLANNED DOWNTIME
PREDICTIVE MAINTENANCE
Quality control

Retail

According to sources, 85% of customer interaction in retail will be managed by AI by 2023 and a revenue growth of 10% on adopting AI in the business process.

DEMAND FORECASTING
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SUPPLIER PERFORMANCE PREDECTION
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OPTIMIZE INVENTORY
ROUTE OPTIMIZATION