IoT & AIoT: From Sensor to Use
In a few figures...
20%
cost reductions in maintenance observed in certain industrial IoT projects, depending on the use cases and maturity level.
15%
Productivity gains can be achieved when field data is better leveraged in operations.
Up to 30%
reduction of carbon footprint can be targeted through certain energy and operational optimisation devices.
Our approach to Industrial IoT and AIoT
Capturing data from the field is essential in many industrial, technical, and operational contexts. However, simply collecting data is not enough. To generate real business value, sensor data must be cross-referenced with other company data, integrated into processes, and made actionable by teams. It is fundamental to converge Industrial IoT, data platform and AIoT to go from sensor to use, with an approach designed for service optimisation, resource management, maintenance, energy performance and carbon footprint reduction.
Connecting field data to the data heritage
The first challenge is not only to deploy connected objects, but to prevent IoT data from remaining locked away in technical silos or proprietary platforms. We help companies connect telemetry from the field to the rest of their data assets, so that they can feed dashboards, advanced analytics, algorithms, and concrete business use cases. This is one of our real differentiators: To make IoT data a fully exploitable component of the company's data strategy.
Design IoT architectures suitable for the field
We are involved in the study, scoping, and implementation of IoT architectures adapted to the real constraints of sites and equipment. This covers sensors, actuators, gateways, connectivity, networks, core networks, IoT platforms, dashboards, and data exposure interfaces. The challenge is to build an architecture capable of lasting over time, despite the heterogeneity of protocols, the age of certain equipment, coverage constraints, or scalability limitations.
From raw data to operational value
We help companies transform IoT data into practical applications: predictive maintenance, energy optimisation, quality improvement, operational management, better resource management, or delivery reliability. The market clearly shows that the most value-creating use cases are those that link sensor data to operational decisions and actions.
This is why we conceive of the IoT with data and AI, and not as an isolated layer.
To make IoT, data, and AIoT converge
AIoT truly comes into its own when data collected from the field is enriched, cross-referenced, and utilised in models capable of detection, recommendation, or automation. We integrate this logic into a progressive trajectory, which can range from intelligent dashboards to more advanced mechanisms for detection, alerting, and decision support. In some cases, this logic can also be combined with AI agents to trigger, guide, or prioritise actions according to the operational context.
Industrialise without losing control
We rely on proven delivery methods, edge computing where relevant, DevOps, CI/CD and MLOps practices, as well as a security-by-design approach. The objective is to make IoT and AIoT deployments more robust, more maintainable, and easier to scale, without hindering the ability to experiment. This is particularly important in environments where devices, firmware, protocols, and use cases are evolving rapidly.
Solutions tailored to your context
Depending on requirements, we can build tailored solutions from off-the-shelf components, or leverage pre-configured business solutions, for instance on topics of GTB (Energy Management) or industrial maintenance. Our ecosystem relies on several recognised technologies, such as ThingsBoard, IoThink, Nomosense, RabbitMQ, HiveMQ, ReQUEA or AVEVA.
The key deliverables
- Study and framing of industrial IoT architectures
- Design and implementation of complete IoT solutions
- Integration of sensors, gateways, networks and platforms
- Data presentation via tailored dashboards and interfaces
- Connecting IoT data to a data platform
- Implementation of AIoT bricks according to use cases
- Recommendations on edge, scalability, and security
- Deployment and industrialisation support
The benefits
Better use of field data
We help businesses transform raw technical flows into actionable insights for decision-making.
Reduce operating costs
Better exploited IoT data allows for optimisation of maintenance, energy, resources and certain operational processes.
Make operations reliable
We are implementing systems that help to detect earlier, better manage, and better anticipate deviations or incidents.
Breaking the IoT out of its silo
We connect sensor data to the information system, the data platform and business uses to create more value.
Prepare concrete AIoT use cases
We are creating the conditions to enrich IoT devices with advanced analytics, AI, and more intelligent automation mechanisms.
Our 5-step approach
The expert's word
Christophe LEDREUX
Practice Manager IoT/Data/IA – JEMS
«The real challenge is no longer just about connecting sensors. It's about transforming field data into decisions, automations, and sustainable operational gains.»
Christophe LEDREUX
Practice Manager IoT/Data/AI – JEMS
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JEMS IoT & AIoT OFFER
At JEMS, we help businesses connect the IoT to data and AI to transform field data into concrete drivers for optimisation, reliability, and operational performance.
Our additional services
AI for Business
Deploy a useful, measurable AI in your business, fully integrated into its operations.
Agent-based AI
Deploy AI agents capable of automating, orchestrating, and adapting business processes, with a progressive, interoperable, and value-oriented approach.
IA Act compliance
A structured offering to help frame, steer and operationalise the AI Act requirements with a regulatory, technical and data-driven approach.
Data governance
To help data leadership make data governance more accessible, through an AI agent capable of querying existing catalogues in natural language.
Data Platform
A key, secure, and scalable all-in-one data platform, designed for SMEs and mid-sized companies that want to take action without embarking on a long, costly, and complex project.
Examples of achievements
Transform your IoT data in operational value
Connect with a JEMS expert to link your field data to data and AI, and structure an IoT & AIoT roadmap that benefits your operations.
