Innovation to Impact

Deep Tech in Action

Tuesday, 16 June 2026

Divani Caravel Hotel

Innovation to Impact: Deep Tech in Action is co-organized by the Industrial Systems Institute of the Athena Research Center, OTE Group, Intracom Telecom, and Smart Press, with the goal of highlighting how advanced technologies transition from the research and pilot stage into real-world economy, public administration, and operational business practice. This collaboration combines the Industrial Systems Institute’s research expertise in information technologies for industrial systems, OTE’s experience in telecommunications infrastructure, digital services, and technological transformation, Intracom Telecom’s know-how in advanced networking solutions and cutting-edge technologies, as well as Smart Press’s experience in creating specialized conferences, thematic media, and networking environments for technology and business.

At a time when AI, next-generation networks, cloud computing, edge computing, cybersecurity, and smart infrastructures are transforming the way organizations operate, the challenge is no longer limited to technological innovation itself, but rather to turning it into measurable value. This event focuses on how cutting-edge technologies can become operational tools for businesses, public sector organizations, research ecosystems, and infrastructure providers, shifting the discussion from “what is possible” to “what can be implemented, scaled, and generate impact.”

At the heart of the event lies the connection between research and the market. Innovation to Impact: Deep Tech in Action explores how emerging technological ecosystems can support smarter services, more efficient infrastructures, more flexible business models, and more resilient digital operations. At the same time, it highlights the importance of collaboration among research institutions, technology companies, public organizations, and institutional stakeholders, ensuring that technological progress does not stagnate at the level of experimentation, but instead leads to practical solutions.

The main idea of the event is that deep tech gains real significance when it is put into practice – when networks become smarter, when AI is integrated into services and decision-making, when cloud and edge computing bring processing power closer to where it is needed, and when innovation gains a clear operational, social, and economic orientation. This is precisely what Innovation to Impact: Deep Tech in Action seeks to illuminate: the journey from technological capability to real-world implementation.

Pillar 1 – Smart Networks, Smarter Applications

One of the themed sessions focuses on how next-generation networks can reduce barriers to entry for new services, applications, and business models. The discussion highlights how smarter, more flexible, and more reliable infrastructures can support use cases that today struggle to operate reliably or at scale, ranging from smart manufacturing and Industry 4.0 to immersive environments, virtual worlds, and high-precision industrial applications. The core message is that the evolution of networks is not only about higher bandwidth, but also about the reliability, quality of service, and flexibility required by tomorrow’s applications.

Pillar 2 – Governing the Digital Future with AI

Another themed session highlights the role of artificial intelligence in the next generation of digital governance and advanced infrastructure management. It is linked to the need for smarter, safer, and more adaptive public services, as well as national priorities such as AI, digital infrastructures, educational technologies, and cybersecurity. The key message is that the next phase of digital transformation will not rely solely on the digitization of processes, but on infrastructures and systems that leverage data, automation, and AI in order to operate more efficiently and dynamically adapt to real-world needs.

Pillar 3 – Deploying Intelligence Anywhere

Another focus area explores the ability to develop AI applications across different environments, from private cloud and centralized cloud infrastructures to edge and far-edge computing, drones, robots, and field devices. The main idea is that businesses do not necessarily need to invest from the outset in exclusive infrastructures in order to take advantage of advanced applications. Instead, they can utilize existing infrastructures and deploy intelligent applications wherever there is an operational need. The message is both practical and commercial: the value of AI increases when it can operate close to the data, close to the action, and close to decision-making.