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IOT Trends for 2018

 

We spoke with a number of IT leaders and industry experts about what to expect from IoT in the coming year and what could be the latest trends for IOT which will dominate 2018.

Following are the Internet of things trends to watch out for in 2018.

1.The IOT industry will bring a changed awareness around security and risk:

Security concerns will be high on the list. We have reached a point in the evolution of IoT when we need to re-think the types of security we are putting in place. Have we truly addressed the unique security challenges of IoT, or have we just patched existing security models into IoT with the hope that it is sufficient?

IOT presents a different kind of risk. Businesses need to understand that sensors and machine-to-machine communications are also stored in the cloud. In particular, facilities implementing devices connected to the IoT need to think about communication and the security protocols between devices: sensor-to-sensor communication, sensor-to-gateway communication, and updating and maintaining all on-premise equipment to better secure their data.

Tom Smith is a research analyst for DZone.com and he queried these IT professionals to get their insights on predictions for 2018. Here’s what IOT experts shared their thoughts on IoT trends for 2018.

IoT security will continue to dominate as a major concern, and I would expect the rise of several IoT-driven platforms to rise to the surface in an attempt to address and manage this. Says Lucas Vogel, Founder, Endpoint Systems

My hope is that there will be some adopted regulations around IoT security and compliance, otherwise, there will undoubtedly be more frequent and massive attacks. The fully-connected home will move closer to being a reality, and there will be unique solutions that address actual needs instead of just being “internet-connected”. Says Mike Kail, CTO, CYBRIC

2. Businesses will need to embrace the implementation of edge and cloud computing: 

Edge computing, also known as fog computing, will continue to rise. The ability to run software at the edge is turning out to be one of the most promising accelerators of IoT adoption, given the cost savings and the ability to quickly achieve largescale systems.

3. Connectivity Management: 

Another exciting new area involves the management of whole IoT systems or solutions. Device management and connectivity management has been around for several years already, but now that the pieces of IoT systems are coming together to form whole enterprise-scale solutions, management of these solutions has become higher up on the “tech wish list” for organizations.

4. IOT vs IIOT:

In addition, the separation between consumer IoT and Industrial IoT is becoming clearer all the time. One key distinction that is now apparent is that consumer IoT can often focus on greenfield installations but IIoT must enable brownfield installations. The investments in systems and equipment that were made by industrial firms over the last decades will continue to be in place and will need to be incorporated into IIoT solutions.

We’re seeing a trend towards a lot more IIoT use cases. As we move into 2018, we will see a much higher adoption of industrial IoT where sensors are making a big impact in the manufacturing, automotive, aerospace and engineering sectors. Other areas where we expect greater uptake of IoT systems include shipping, retail, agriculture, and healthcare. This expansion will trigger a need to hire many more IoT professionals and will likely see the rise of many new types of IoT specific roles within companies.

Many verticals still have business operations that involve manual observation of equipment status, inventory levels, and other key metrics. Where there is currently manual observation, there may be a great opportunity for a high-ROI project involving IoT. Some verticals that have a lot of manual observations are Oil & Gas, Energy Distribution, Supply Chain, and Telecommunications. The repeating theme is high-value infrastructure that is spread out geographically.

Thanks Kilton Hopkins, IoT Program Director forNortheastern University-Silicon Valley and the CEO of IOTRACKS, for providing your inputs to this article.

 

 

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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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