IoT as Operational Infrastructure: From Data to Automated Decisions

The real value of IoT is concrete and measurable — reducing operational costs, increasing efficiency, enabling real-time control, and supporting data-driven decisions, according to Hannelore Valkanov, an expert in IoT solutions and digital transformation with more than a decade of industry experience.

“In regulated industries, compliance becomes an additional critical component, where it is essential not only to declare what you do, but to be able to prove it,” she explains.

For Hannelore Valkanov, IoT should not be approached simply as a collection of connected devices or isolated software applications, but as a complete operational infrastructure.

“The real challenge is to build end-to-end systems where all essential components — from field devices to data-processing platforms — work together reliably. This is what creates stability and predictability, not just functionality.”

How did your professional journey evolve toward your current role in IoT solution development?

Hannelore Valkanov: My professional journey has been built around solving real industry problems, rather than following a purely theoretical direction. I started from the technical side, but quite quickly I understood that value does not come from isolated software or hardware development, but from the ability to build complete systems that function reliably in real operational environments.

My transition into IoT came naturally, driven by the need for visibility and operational control. My experience began with real-time monitoring systems and gradually evolved toward platforms capable of collecting, processing, and transforming data into actionable insights.

Today, my focus is on aligning technology with real business needs and developing systems that can scale and generate long-term value.

What are the most important lessons learned during more than 10 years of experience in IoT?

Hannelore Valkanov: After more than a decade in this field, the lessons are quite clear.

Hardware is often the component that defines risk and cost, not software alone. Stability is more important than complexity, especially in systems that operate continuously and manage critical data.

At the same time, I learned that data has no value by itself — it becomes valuable only when it is used to improve a decision or a process.

Perhaps the most important lesson is that execution makes the difference, not the idea itself.

How do you define the “real value” of IoT for companies today?

Hannelore Valkanov: The real value of IoT is very concrete and measurable.

We are talking about reducing operational costs, increasing efficiency, enabling real-time control, and making decisions based on data rather than assumptions.

In regulated industries, compliance becomes an additional critical component, where it is essential to prove what you do, not only to declare it.

If a solution does not generate a measurable impact in these areas, its operational maturity remains limited.

What distinguishes a mature IoT solution from a conventional technology product?

Hannelore Valkanov: The main difference is the approach to IoT as an operational infrastructure rather than an isolated product.

A mature IoT solution must integrate all essential components — from field devices and communication technologies to data processing, analytics, and user applications.

The objective is not simply to connect devices or display information, but to create systems that deliver stability, predictability, and measurable operational value.

In industries where continuous operation and critical decisions are essential, reliability and long-term scalability become just as important as the technology itself.

How can hardware, firmware, and software be integrated into a single scalable platform?

Hannelore Valkanov: Integration is not the result of a single isolated solution, but of an architecture designed with long-term operational requirements in mind.

A scalable architecture requires standardized communication between devices, consistent data-processing mechanisms, and applications designed to work together.

Each layer should be independently manageable while remaining optimized for integration.

Scalability comes from modularity and from eliminating critical dependencies. In practice, systems should be designed to grow without requiring a complete redesign whenever operational needs change.

What types of organizations currently demonstrate the highest demand for IoT solutions?

Hannelore Valkanov: The highest demand comes from organizations facing real operational pressure.

On one side, there are private companies that need to optimize costs and increase efficiency. On the other side, there are regulated industries where transparency, monitoring, and control are essential requirements.

In both cases, adoption is driven not by interest in technology itself, but by operational necessity.

What makes large-scale IoT projects particularly complex, and what are the main challenges involved?

Hannelore Valkanov: The most complex projects are those where systems must operate continuously and under imperfect conditions.

Challenges come from real operational environments: unstable connectivity, integration with existing systems, environmental variations, or legislative changes. Technology itself is only one part of the problem.

At the same time, complexity does not come only from collecting data, but from what happens afterward.

In practice, operational teams cannot be expected to continuously interpret large volumes of raw data. That is why IoT platforms must function as decision-support systems, automatically transforming collected information into clear insights and actionable recommendations.

The real complexity is actually double: on one hand, maintaining consistency and reliability over time, and on the other hand, delivering information in a form that can be directly used in decision-making without additional interpretation.

What are the main barriers to wider IoT adoption in Romania?

Hannelore Valkanov: One of the main barriers is the lack of trust in the results.

The market has been exposed to many pilot projects that were never scaled further or failed to generate measurable business value.

In addition, there is still a perception that IoT solutions are complex, expensive, and difficult to maintain.

I believe adoption will accelerate as solutions become easier to implement, simpler to operate, and more predictable in terms of results.

The key is to demonstrate tangible benefits and long-term operational reliability, rather than focusing exclusively on technological capabilities.

Which industries do you see growing the fastest over the next 3–5 years?

Hannelore Valkanov: Growth will come primarily from industries facing increasing economic, operational, or regulatory pressure.

Agriculture, logistics, energy, and regulated industries are areas where the need for data and operational control is becoming increasingly evident.

In these sectors, limited visibility into operations can generate direct costs, reduce efficiency, and increase operational risks.

As a result, IoT adoption is increasingly becoming a strategic necessity rather than an optional technological investment.

What mistakes do companies make when implementing IoT solutions?

Hannelore Valkanov: The most common mistake is starting from the technology instead of the problem.

Another frequent issue is treating pilot projects as isolated experiments without clearly defined business objectives.

Without measurable KPIs and a realistic implementation strategy, even technically successful projects may never scale.

In reality, a pilot should be the first step toward a fully operational system, not an isolated test.

In precision agriculture, where does the greatest economic impact appear? What about regulated industries or smart cities?

Hannelore Valkanov: In agriculture, the impact comes from optimizing resources — particularly water and fertilizers — and supporting the management of climate-related risks, which can directly influence yields and operational costs.

Real-time monitoring and data analysis provide farmers with additional information to support their existing expertise and make better-informed operational decisions.

In regulated industries, the value lies in transparency, traceability, and the ability to demonstrate compliance using reliable, continuously collected data. This can help reduce operational and legal risks.

In smart city environments, some of the fastest and most visible benefits appear in applications that directly affect everyday life, such as parking management, traffic optimization, and environmental monitoring.

Across all these sectors, the common objective is the same: transforming data into practical operational value.

How do you see the evolution of IoT over the coming years, and what will define the next stage of technological maturity?

Hannelore Valkanov: I believe the next stage of IoT development will focus on consolidation, scalability, and greater operational autonomy.

The industry is gradually moving away from fragmented implementations toward integrated infrastructures capable of supporting multiple applications and operational needs.

International scalability will also become increasingly important. This requires solutions that can adapt to different markets, regulations, connectivity environments, and operational requirements.

At the same time, advances in data analytics and interpretation will enable a higher level of decision automation, reducing the need for manual intervention and improving operational responsiveness.

The direction is clear: fewer fragmented systems, more integrated infrastructures, and increasingly intelligent platforms capable of operating reliably and autonomously.