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5 Key Takeaways for iOS Developers from WWDC20

3 minutes, 21 seconds read

Apple WWDC20 brings together the global Apple developer community of more than 23 million in a phenomenal and virtual way. Kicking off the 31st edition of their flagship WWDC conference as the biggest WWDC to date; Tim Cook, Apple’s CEO said “Today we’re announcing our transition to Apple silicon, making this a historic day for the Mac” 

Last year, at the WWDC event, Apple announced some fine machine learning and artificial intelligence updates and demonstrated how the developers can benefit from the customization. This year, on Day 1 of WWDC 2020, Apple made some landmark announcements unveiling a smorgasbord of updates for the iOS Developers community. 

5 key takeaways from WWDC 2020 for iOS Developers

1. New Depth API in ARKit 4

ARKit 4 introduces new ways to capture information about the real world using a new Depth API. This API is designed to work with the LiDAR sensor in iPad Pro. It enables entirely new types of apps, such as on-site architecture, design, landscaping, and manufacturing. 

2. Simplified Core ML

Machine learning development in Core ML is now easier and more extensive. With the introduction of additional tools for model deployment and encryption, new templates in Create ML, and more APIs for vision and natural language, Core ML is capable of fine-tuning models and making predictions on user’s devices. 

Core Machine learning forms the fundamental building block of any domain-specific framework and functionality. With Create ML and API’s for vision and NLP, one can build models for sound activity and object detection; and transfer learning for text classifications.

With over 100 model layers now supported with Core ML, the ML, it is believed that models can be built that deliver experiences that deeply understand the vision, NLP and speech like never before.

Also read: Speech is the next UX

3. Extended Touch Gesture Control in PencilKit

PencilKit now features Scribble, which makes it easy to create apps with text entry fields that users can write in with Apple Pencil, handwriting for any UITextField. Developers will also have access to stroke data using PencilKit as stroke API gives access to the strokes as the user draws. It seamlessly handles both Apple Pencil input and system touch gestures.

Also read: How does AI recognise your hand gestures and movements?

4. Extensions in SwiftUI

Apple added no breaking changes to SwiftUi but just extensions. Swift Package Manager adds support for resources to easily share Asset Catalog bundles and localizations. 

New open-source packages have been introduced for Numerics, ArgumentParser, and System making Swift a great language for more use cases. SwiftUI now contains app-structure APIs for all Apple platforms, e.g. @main, @SceneBuilder, Settings etc. Now developers can write an entire app in Swift UI using the life cycle API and share it across all Apple platforms. 

5. Wider Scope of Testing in TestFlight 

TestFlight has been helping developers in testing beta versions of their apps. In the WWDC 2020 announcement, it will now support up to 100 team members for fast build distribution. Moreover, iOS Developers can Invite up to 10,000 external testers through email address or by sharing a public link.

Wrapping-up

During the WWDC 2020, many new APIs were announced that can enable iOS Developers to create amazing app-experiences. It also includes the AirPods Motion API that gives developers access to movement data in real-time. Also, Developers can now enable users to upgrade existing third-party app accounts to Sign in with Apple accounts.

Apart from Apple’s updates and releases, it is also creating an additional channel for developers to share feedback on developer’s forums. Developers are encouraged to share their feedback on the forum so that the team at Apple continues to update on the fixes and enhance the App Store experience for the entire developer’s community. 

Check out – 1-on-1 Developer Labs

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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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