In continuation of the last two days the IO event became more detail oriented with deep dive technical sessions covering various aspects of the improvements in Google products and enhanced capabilities that developer can access.

Here is our summary of some important discussions.

1.Improved sign-in, payments and forms in Apps

Google is trying to tackle the challenges of critical flows like login, payments and forms by using new APIs. Android now has Autofill, Google Smart Lock, and Backup and Restore APIs for your apps. These new APIs will help users

1) The login and payment experience,

2) Seamlessly syncing logins between your website and mobile app, and

3) Preventing users from getting locked out when they switch devices.

Watch the complete video here Link

2. Android meets TensorFlow

TensorFlow is powering google AI. A detailed session on AI technology for production Android apps was conducted. One of the main benefits of TensorFlow is Portability. You can easily move the neural network model to Android and run the prediction inside mobile phones, to do many AI tricks things like image recognition, motion recognition and etc.

Google provided the tips and tricks to overcome the challenges of the model size and CPU consumption for neural network prediction.

Watch the complete video here Link

3. Performance and Memory improvements in Android Run Time

Android Run Time (ART) is getting major improvements like the new concurrent copying garbage collector (GC) based on read barriers, and improvements to the ahead-of-time (AOT) and just-in-time (JIT) compiler. The new GC will reduce pause times and heap sizes compared to its predecessor.

Watch full video here Link

4. Kotlin

Kotlin is now an officially supported language for Android. Kotlin is a language that runs on the JVM (Java Virtual Machine), and it’s already possible to use Kotlin and many other JVM languages for Android development. This is the Link https://youtu.be/X1RVYt2QKQE to know the tips for developers to get started with it.

5. Machine Learning APIs

Google has introduced new machine earning APIs that provide access to pre-trained machine learning models with a single API call. Now you can make use of Google’s machine learning expertise to power your applications. Google Cloud Platform (GCP) offers five APIs that provide : Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. Using these APIs, you can focus on adding new features to your app rather than building and training your own custom models.

watch full video here Link

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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