We are under the spell of the Fourth Revolution or the digital revolution. The ability of technology to help the humankind is empowering each day. With AI, Machine Learning, IoTs, and Virtual Reality we are witnessing a diminishing line between man and machine. While the machine is helping man to live luxuriously, it has also extended its help in saving lives.
The use cases of Artificial Intelligence[AI] in healthcare are fascinating – be it Robotic Surgery, digital consultation, managing medical records over a blockchain network or a virtual nurse assisting you. AI in health is assisting machines to sense, analyze, act, diagnose and help in the clinical and administrative task in a hospital.

Let’s explore in detail on how AI is helping humans to stay healthy and save lives.

Assisting Patient at Every Step

An AI app/product could effectively scan the medical records and help in diagnosing the particular disease, minimizing chances of human error. Based on the prescriptive analysis, the AI software could aid real-time case prioritization. It can precisely analyze actions and predict the risk associated with specific clinical procedures.
AI programs could also help in providing personalized services based on patient data and moods. In fact, an AI app can also recommend the best doctor as per your medical record. AI can be a helping hand for many expectant mothers, with continuous monitoring and ability of early diagnosis.

Several wearable devices and health apps are assisting customers in keeping track of their health. Health apps like Cure.fit help customers to order healthy food and keep tabs on their daily workouts. People can also book appointments and buy medicines through apps like Practo.

Reaching New Heights in Research and Development

Collecting data samples of all the patient in a clinic/hospital, applying big data techniques and deep learning technology could help in extracting meaningful information. Such information could be used to study pattern for a disease or about an individual.
Genetics and study of genes are one of the most crucial jobs in healthcare, with AI the study could be exhaustive and precise resulting in impactful drugs and medicine. Applying medical intelligence could help in understanding the connection between drug and disease at the root level.

Helping Hospitals with Pricing, Risk, and Operations

In need of a marketing strategy that highlights the pain points, lessons learned, target segment and market perception? AI could help you. It can present you a unique strategy that helps in modeling competitive pricing charts,understanding market risk and structuring market data into meaningful actions. Rehauling of your repetitive tasks or back office could be achieved by implementing Robotic Process Automation[RPA] into your system.

With voice-enabled chatbots and video conferencing chatbots, customer queries and appointment booking can be facilitated in private clinics and healthcare sectors

Virtual Nurses, Healthcare Bots

Are you in need of the second opinion from the country’s best doctor at the convenience of your home? AI can help you with Digital Consultation. Or you need a nurse who helps in keeping track of your medicines and food; Virtual Nurse is on his way. Or you need help in picking the best diagnostic center based on your health records? Or you need help in what are the side effects of a drug? Healthcare bots are in for the rescue.

All of this may sound like a sci-fi movie being watched, but now is a possibility with AI and machine learning technology.

Other significant innovation is the chatbot. Chatbots help in raising alarms during life-threatening incidents and save the needful. During an emergency situation, a call made by the chatbot to the needy’s family/ friends or a health center can help the suffering person.

Write us at hello@mantralabsglobal.com to know how we are helping healthcare businesses through AI technology.

Check out the webinar on ‘Digital Health Beyond COVID-19: Bringing the Hospital to the Customer’ on our YouTube channel to know more about how the digital health industry is disrupting the traditional ways of healthcare.

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

By : Divyanjali Gupta

Published on Jul 31, 2025

Data Science Manufacturing Analytics Smart Manufacturing

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

Aspect	What You Should Know
1. Why Static Reports Fall Short	Delayed insights after issues occur Disconnected systems (ERP, MES, sensors) No real-time alerts or embedded decision logic
2. What Real-Time Dashboards Enable	Track OEE and downtime in real-time Predictive maintenance using sensor data Dynamic inventory heat maps Quality linked to operators
3. Dashboards That Drive Action	Role-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 Dashboards	Unified 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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