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Speech is the next UX

“We’ve seen more progress in this technology in the last 30 months than we saw in the last 30 years. Ultimately vocal computing is replacing the traditional graphical user interface.” -Shawn DuBravac

Interface design enables humans to experience and interact with technology. Interestingly, Voice User Interface (VUI), is the ability to speak to devices and its capability, in turn, to understand and act upon users’ commands. 

Voice user interface: the next-gen of UX

Augmenting human intelligence is a lot more daunting than it looks. The difficulty of mimicking human cognition with software is showing Artificial Intelligence researchers that there’s more than one way to be “intelligent”. The rise of voice can be mainly credited to the evolution of AI and cloud computing capabilities. With machine learning and natural language processing, technology now has the ability to interpret human speech more accurately and in real-time, while also taking note of individual users’ speech tendencies.

This sans-hands method of interaction is rapidly gaining traction. With an approach that is more convenient and human-like, VUI is becoming the next generation of human-computer interaction. From asking Siri to book your appointment with the doc next Monday to asking Alexa to play your favourite show on Amazon Prime; the act of using voice commands has become increasingly natural for users.

At the Google I/O 2018 event, CEO Sundar Pichai demoed Google Duplex: A.I. Assistant calling a local business to make an appointment. The eerily lifelike phone call triggered a wave of intrigue and laughter in the 7,000-strong audience. 





Designing a Voice User Interface

Accurate natural language processing has until now existed only in the realm of science fiction. Voice represents the new pinnacle of intuitive interfaces that democratize the use of technology. However tech is still in its nascent stages and not the ultimate incarnation of the medium, but yet it’s currently a strong favourite.

For web and application designers, voice interaction, perhaps, is the biggest UX challenge since the dawn of the touchscreen age. Every voice recognition platform has a unique set of technological constraints. It is essential that you embrace these constraints when architecting a voice interaction UX.

The basic voice UX flow

Speech is the next UX the basic UX flow.

UX was always designed to make interactions as similar to the real world as can be and voice has the potential to make that a reality. UX designers must make sure they’re asking the right questions to elicit the appropriate verbal responses from users. Gender, age, inflexion, tone, accent, cadence and pace are all elements that can be used by UX designers seeking to craft a particular customer experience with their brand.

Below is the sample flow demonstrating the process of speech recognition

A more viable approach could be to prioritize and summarize the information based on known user preferences, prior to delivering an answer – in other words, doing what a normal person would naturally do in a conversation

More complex queries, at times, fall further off the cliff. Risking unpleasant interactions is something brands can rarely afford. Keeping this in mind, error messages could be crafted in a way that’s not only less annoying but also gets users back on track while presenting additional options.

Can we expect a ‘humane’ VUI?

In this age of expected instant gratification, it’s hard to imagine an average user patiently listening to their AI assistant as it narrates a laundry list of all continental restaurants one by one. We want our voice interactions to be as immediate as human alternatives.

VUI’s are extremely complex, multifaceted, and often hybrid amalgams of interaction. Voice interaction may not have garnered the same fanfare just yet. However, for the time being, the creation of a multi-model interface can ignite the furnace for an all-voice controlled interface. 

Will VUIs eventually become our primary means of interaction?

Let us know your views by commenting.

Fun fact

Celebrities are likely to find a brand new income stream from licensing not just their voices, but entire personalities as AI assistants. Sounds ridiculous? It does, but you can already pay about $10 to make your TomTom GPS nav unit speak like Snoop Dogg. Go for it!

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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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