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A Day with Artificial Intelligence

Although buzzwords like Artificial Intelligence, Machine Learning, Deep Learning are loud enough. Many of us still believe AI synonym to Robots. As stated by ZDNet – In one of the surveys conducted by Hubspot of more than 1,400 people from Ireland, Germany, Mexico, Colombia, UK, and the US, they found that many respondents did not know that they were already using AI.

However, of the respondents who said they had not used AI, 63 percent were using it. They just were not aware that they were.

Image Source ZDNet

And if you also thought that you are not using an Artificial Intelligence tool, lets sail through your daily activities to help you in figuring out AI tools that are now a necessity.

Google Maps/ Google Search/ Google Photos/ Google Translate

Yes, all of these default apps on your smartphone uses artificial intelligence and machine learning. As you start typing into the search field, the box responds with some of the search terms as suggestions. The suggestions shown are derived from looking for similar words you types, what is trending or your location.
Google photos, on the other hand, scan and identifies similar images and group them/animates based on date/occasion or people. It again uses artificial intelligence and is driven by robust algorithm to locate/group similar stuff.

With individuals sailing on foreign land, Google translate is another handy tool that was built using Artificial intelligence technology. Algorithms/programs used to read and analyze millions of existing translated documents and built specific vocabulary for a particular language. While a user types in a word in his preferred language, the programs look for the most suitable match and provides a translation in the desired language.

Email Filters

Ever wondered how an email lands into the spam folder when a user hasn’t manually selected it? Or why some emails are under promotions? It is again the magic woven by machine learning. The spam filter analyses the sender’s address tracks the network address maintain a list to be referred later,and as an email hits the recipients server, it scans against its data center and labels it appropriately.

Fraud Prevention

I remember when I was making a transaction through my credit card and twice entered incorrect CVV number. Within minutes I got a call from my bank asking if I am the one making a purchase or is it someone misusing the card. In fact, another incident when I was at my native place and logged into my bank account from a new IP, I was alerted via an email and an SMS – there is a new login from an unknown IP.
All of these fraud prevention techniques are possible because of Artificial intelligence as a monitoring tool.

Social Media

Social Media viz Facebook, Instagram, Twitter, Snapchat, Pinterest that are a lifeline to many uses Artificial Intelligence extensively. Facebook or FB uses AI to present you a personalized newsfeed,and even alters the post that you see on your page.
Instagram recently used AI to replace slang with emojis; just for e.g., if you type rofl it would suggest you emojis or hashtags and make emojis more meaningful.

AI is everywhere and expanding its reach on a daily basis. Although all of this is running in the background, we would love to see self-driving cars and kitchen appliances communicating to Siri, Cortana or Alexa. Possibilities are limitless.

 

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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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