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

5 Take Away points from Droidcon 2016

Droidcon is a global developer conference series focusing on the best of Android, supporting the Android platform and creating a strong network for developers and startups. Droidcon covers all aspects of the Android ecosystem from mobile devices, to TV, to cars, to gaming, and so much more.

The idea behind the droidcon conferences is to support the Android platform and create a global network for developers and companies. The platform offers high-class talks from leaders from different parts of the ecosystem, including core development, embedded solutions, augmented reality, business solutions and games.

The speakers of the conference were some of the leaders from Android space, Yigit Boyar- Google Express, Dario Laverde- HTC, Jenny Yuen- Software Engineering Manager – Android at Facebook, Evelio Tarazona Caceres- Lyft, Israel Ferrer Camacho- Twitter, Christina Lee- Hightlights, Huyen Tue Dao- Trello and many others, who spoke about Android Development and the future of Android.

The 5 take away points from this conference were:

  1. Application Architecture:
    An application architecture describes the behavior of applications used in a business, focused on how they interact with each other and with users. It is focused on the data consumed and produced by applications rather than their internal structure.Yigit Boyar explained the need and necessity of Application architecture in developing mobile applications that can work offline as well. Mobile networks are unreliable and if the application does not account for it, your user suffers from the worst user experience, which would in return affect your application; this motivates developers to design an application that can work offline and improve user experience with better architectural decisions from online behavior.
  1. Auto Profiling Apps on Every Build:
    Evelio Tarazona Caceres of Lyft highlighted, not only Architecture alone, but performance also is always a concern when working with resource constrained environments like Android. In addition to that, developers also have to deal with another limited resource: time. It is quite common that adding new features or fixing bugs is way more relevant than ensuring the application works smoothly. Just measuring the performance of certain view takes a good amount of time, so why not automate it?“At Lyft we found that gathering data with every continuous integration build would help us to not only detect regressions but also to ensure a smooth ride for all our users.”, He added.

  1. Borrowing The Best of the Web to Make Native Better:
    Christina Lee while addressing conference, said, “The fast iteration of the web has yielded several very promising paradigms to mitigate problems by thoughtfully separating concerns.” She spoke about how they are exploring ways to borrow principles from React, Flux, Redux and Cycle. JS to bring the best of web data flow management to Android Applications. She provided an overview of the relevant principles, including samples from apps in production.
  1. Fluid Gesture:
    Material design on Android
    has ushered an age of delightful animation and meaningful transition leading to more engaging and sophisticated Apps. Eric Leong laid emphasis on examples of unique, but effective gestures, especially those unique to certain App Categories. To demonstrate the ease of developing a gesture-based interface, even in a production application. Eric used Tumbler Gestured, to show how important is implementing gestures using a backboard and rebound, libraries that help tie user interaction to on-screen motion.
  1. Loving Lean Layouts:
    XML Layouts are a fundamental part of android development at all levels. Getting started is a straightforward but creating an efficient layout while still achieving a high level of control, takes some practice and few tricks

Android powers more than 80% of smartphones worldwide and shipped on over 1 billion devices. However, Android forks now account for over 20% of the global Android ecosystem and 41% of new devices. The Droidcon covered all aspects of the Android ecosystem, provided overview of future of android and revealed statistics and introduced specific strategies to help developers reach a wider audience with their applications.

 

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