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Infovista Launches TEMS for Industry 4.0

Infovista announced TEMS for Industry 4.0 – a range of new solutions that address the lifecycle needs and challenges of industries as they move towards wider use of connectivity enabled applications and processes.

Built on a core platform trusted by over 1700 wireless network operators globally, TEMS for Industry 4.0 provides an advanced set of tools for network deployment, optimization and operations for connected applications across public and private 3G, LTE and 5G networks.

“The push towards Industry 4.0 is bringing new verticals into the realm of wireless connectivity and with it a need for skills and tools to ensure everything works as expected for a next generation of connected applications,” says Steve Bowker, SVP Global Networks for Infovista.

“TEMS has been trusted by network operators for over 20 years and our Industry 4.0 solution has been designed to help industrial customers design, deploy and scale reliably without performance issues while minimizing business disruption by finding and fixing problems quickly.”

Aimed at a broad spectrum of industrial users including mining, ports, agriculture, transit, safety, rail, transportation and fleet operations; TEMS for Industry 4.0 maximizes the benefits, in terms of reliability, efficiency, total cost of ownership, agility and accuracy to offer true end-to-end wireless connectivity testing and monitoring. The TEMS for Industry 4.0 solution offers a diverse set of elements to meet the needs of different use cases and includes:

- Data Collection Hardware: Probes, phones and custom-designed hardware on which the active test and monitoring software runs are available in different form factors to support various test environments and use cases.

- Data Collection Software Clients: Active test and monitoring software clients that can be embedded to test and monitor connectivity of connected industrial applications.

- Active Testing: Active testing software enabling layer 1 to 7 end-to-end network and application testing, supporting attended and unattended use cases.

- Connectivity Test and Monitoring Orchestration: Centralized platform enabling management, control and real time reporting & analysis of the connectivity testing and monitoring data.

- Connectivity Data Analytics: Insightful Post processing & analysis of collected data using the TEMS products or 3rd party solutions.

- Predictive Connectivity: Analytics and data used to de-risk mission critical application design and increase reliability and performance during operations.

TEMS for Industry 4.0 solutions are in trials with a number of automotive manufacturers, ports and mining companies today and will be generally available July 2020.

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Infovista Launches TEMS for Industry 4.0

Infovista announced TEMS for Industry 4.0 – a range of new solutions that address the lifecycle needs and challenges of industries as they move towards wider use of connectivity enabled applications and processes.

Built on a core platform trusted by over 1700 wireless network operators globally, TEMS for Industry 4.0 provides an advanced set of tools for network deployment, optimization and operations for connected applications across public and private 3G, LTE and 5G networks.

“The push towards Industry 4.0 is bringing new verticals into the realm of wireless connectivity and with it a need for skills and tools to ensure everything works as expected for a next generation of connected applications,” says Steve Bowker, SVP Global Networks for Infovista.

“TEMS has been trusted by network operators for over 20 years and our Industry 4.0 solution has been designed to help industrial customers design, deploy and scale reliably without performance issues while minimizing business disruption by finding and fixing problems quickly.”

Aimed at a broad spectrum of industrial users including mining, ports, agriculture, transit, safety, rail, transportation and fleet operations; TEMS for Industry 4.0 maximizes the benefits, in terms of reliability, efficiency, total cost of ownership, agility and accuracy to offer true end-to-end wireless connectivity testing and monitoring. The TEMS for Industry 4.0 solution offers a diverse set of elements to meet the needs of different use cases and includes:

- Data Collection Hardware: Probes, phones and custom-designed hardware on which the active test and monitoring software runs are available in different form factors to support various test environments and use cases.

- Data Collection Software Clients: Active test and monitoring software clients that can be embedded to test and monitor connectivity of connected industrial applications.

- Active Testing: Active testing software enabling layer 1 to 7 end-to-end network and application testing, supporting attended and unattended use cases.

- Connectivity Test and Monitoring Orchestration: Centralized platform enabling management, control and real time reporting & analysis of the connectivity testing and monitoring data.

- Connectivity Data Analytics: Insightful Post processing & analysis of collected data using the TEMS products or 3rd party solutions.

- Predictive Connectivity: Analytics and data used to de-risk mission critical application design and increase reliability and performance during operations.

TEMS for Industry 4.0 solutions are in trials with a number of automotive manufacturers, ports and mining companies today and will be generally available July 2020.

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...