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Digitalisation

Digitalisation is one of the key factors in gaining a competitive edge and has become a natural part of a company’s daily operations today.

By digitalisation we mean the development of an organisation’s business processes through the use of information technology and innovative automation. This enables data-driven decision-making, greater efficiency, and increased flexibility in responding to market changes. Time saved from manual and routine tasks improves work quality and creates new valuable opportunities, making the company more competitive.

All companies face the stages of digitalisation – from service providers to industrial enterprises moving toward Industry 5.0 – regardless of their core activity, size, or type.

Industrial digitalisation goes beyond simply adopting new robots or software; it also involves the smart use of data and the creation of innovative solutions and technologies. Collecting and analysing data makes it possible to better understand customer needs, predict market trends, and implement new business models. Smart data management and cybersecurity ensure data reliability, enable the successful adoption of AI-driven solutions, and protect the company against cyber threats.

Why digitalise?

Increased productivity

Enables you to focus on more complex tasks, bring new products to market faster, and respond to market changes.

Reduced operating costs

Automated processes and smart inventory management help significantly reduce operating costs.

Faster, more reliable management decisions

Real-time data availability and analytics capabilities enable managers to make faster, more informed decisions.

Supports sustainable development goals

Digitalisation helps optimise resource use, reduce energy consumption, and lower the CO₂ footprint.

Examples of digital solutions

Challenge:
How to improve process efficiency, management quality, and make strategic, data-driven business decisions?

Solutions:

  • AI Trust, Risk and Security Management
  • AI-Augmented Development
  • Intelligent Applications
  • Democratized Generative AI
  • Customer Service (Chatbots or Virtual Assistants)

Benefits:

  • Ensures transparency and regulatory compliance of AI systems, reducing legal and reputational risks
  • Enhances development activities with AI support
  • Makes generative AI more widely accessible to different users
  • Delivers advanced capabilities (faster response times, higher availability, internal support or sales assistance) through AI solutions such as chatbots and virtual assistants

Challenge:
How to ensure data protection and security, while reducing data processing delays and server load?

Solutions:

  • Cybersecurity & Data Protection Systems
  • Biometric Authentication Solutions
  • Blockchain

Benefits:

  • Reduces data processing delays and eases the load on central servers
  • Ensures data protection and security
  • Improves safety and lowers the risk of unauthorized access
  • Increases transparency and security in business processes
  • Enables supply chain tracking, secure transactions, and guarantees data integrity

Challenge:
How to optimise industrial processes, production lines, and manufacturing flexibility?

Solutions:

  • Industrial Internet of Things (IIoT)
  • Digital Twins & Simulations
  • Additive Manufacturing & 3D Prototyping
  • Robotic Process Automation (RPA)
  • Machine Customers
  • Collaborative Robots (Cobots)
  • Autonomous Intelligent Vehicles (AIV)
  • Augmented & Virtual Reality (Augmented Connected Workforce)
  • 5G Technology

Benefits:

  • Automates production lines and enables real-time process monitoring
  • Optimises industrial processes through data collection and analysis
  • Improves warehouse management, material flow, and asset performance with simulations
  • Enables rapid prototyping, including design and manufacturing
  • Reduces errors and frees employees’ time for more strategic tasks
  • Replacing manual labour with machine power for routine and heavy tasks boosts productivity and reduces human error and rework
  • Enhances employee training with virtual simulations in real environments
  • Supports broader adoption of IoT devices and enables large-scale data transmission

Challenge:
How to ensure real-time process monitoring and fast, secure data transfer for quicker management decisions? How to improve the quality of decision-making in real time?

Solutions:

  • Industry Cloud Platforms
  • Edge Computing
  • Sensor Fusion

Benefits:

  • Tailored cloud solutions designed for the specific needs of different industries
  • Improves real-time decision-making quality
  • More accurate measurements and process control by combining data from multiple sensors
  • Reduces data processing delays and eases the load on central servers

Challenge:
For every business leader, the daily challenge lies in planning, optimising, managing, monitoring, and controlling resources and processes across the entire supply chain.

Solutions:
Cyber-physical systems and integrated software systems are designed to create seamless data flow both within the company and across the supply chain. Integrated software solutions enable real-time information exchange and help eliminate duplicate data entry at different supply chain stages, thus improving data quality. Horizontal and vertical integration has been described as the “backbone of Industry 4.0.” Machines and companies communicate and constantly share data, supporting deeper analytics, greater transparency, and higher efficiency for all parties.

For example, if a company has multiple production sites, integration ensures smooth sharing of information such as inventory levels, delays, and more. This allows businesses to provide reliable information to clients and supply chain partners while making strategic, data-driven decisions at the management level.

Horizontally and vertically integrated systems are also the foundation for building a fully automated supply chain — from supplier to customer, and from top-level management to the production floor.

Examples of digital solutions

Challenge:
How to improve process efficiency, management quality, and make strategic, data-driven business decisions?

Solutions:

  • AI Trust, Risk and Security Management
  • AI-Augmented Development
  • Intelligent Applications
  • Democratized Generative AI
  • Customer Service (Chatbots or Virtual Assistants)

Benefits:

  • Ensures transparency and regulatory compliance of AI systems, reducing legal and reputational risks
  • Enhances development activities with AI support
  • Makes generative AI more widely accessible to different users
  • Delivers advanced capabilities (faster response times, higher availability, internal support or sales assistance) through AI solutions such as chatbots and virtual assistants

Challenge:
How to ensure data protection and security, while reducing data processing delays and server load?

Solutions:

  • Cybersecurity & Data Protection Systems
  • Biometric Authentication Solutions
  • Blockchain

Benefits:

  • Reduces data processing delays and eases the load on central servers
  • Ensures data protection and security
  • Improves safety and lowers the risk of unauthorized access
  • Increases transparency and security in business processes
  • Enables supply chain tracking, secure transactions, and guarantees data integrity

Challenge:
How to optimise industrial processes, production lines, and manufacturing flexibility?

Solutions:

  • Industrial Internet of Things (IIoT)
  • Digital Twins & Simulations
  • Additive Manufacturing & 3D Prototyping
  • Robotic Process Automation (RPA)
  • Machine Customers
  • Collaborative Robots (Cobots)
  • Autonomous Intelligent Vehicles (AIV)
  • Augmented & Virtual Reality (Augmented Connected Workforce)
  • 5G Technology

Benefits:

  • Automates production lines and enables real-time process monitoring
  • Optimises industrial processes through data collection and analysis
  • Improves warehouse management, material flow, and asset performance with simulations
  • Enables rapid prototyping, including design and manufacturing
  • Reduces errors and frees employees’ time for more strategic tasks
  • Replacing manual labour with machine power for routine and heavy tasks boosts productivity and reduces human error and rework
  • Enhances employee training with virtual simulations in real environments
  • Supports broader adoption of IoT devices and enables large-scale data transmission

Challenge:
How to ensure real-time process monitoring and fast, secure data transfer for quicker management decisions? How to improve the quality of decision-making in real time?

Solutions:

  • Industry Cloud Platforms
  • Edge Computing
  • Sensor Fusion

Benefits:

  • Tailored cloud solutions designed for the specific needs of different industries
  • Improves real-time decision-making quality
  • More accurate measurements and process control by combining data from multiple sensors
  • Reduces data processing delays and eases the load on central servers

Challenge:
For every business leader, the daily challenge lies in planning, optimising, managing, monitoring, and controlling resources and processes across the entire supply chain.

Solutions:
Cyber-physical systems and integrated software systems are designed to create seamless data flow both within the company and across the supply chain. Integrated software solutions enable real-time information exchange and help eliminate duplicate data entry at different supply chain stages, thus improving data quality. Horizontal and vertical integration has been described as the “backbone of Industry 4.0.” Machines and companies communicate and constantly share data, supporting deeper analytics, greater transparency, and higher efficiency for all parties.

For example, if a company has multiple production sites, integration ensures smooth sharing of information such as inventory levels, delays, and more. This allows businesses to provide reliable information to clients and supply chain partners while making strategic, data-driven decisions at the management level.

Horizontally and vertically integrated systems are also the foundation for building a fully automated supply chain — from supplier to customer, and from top-level management to the production floor.

In addition to integrating and adopting digital solutions, it is equally important to focus on the growth of IT solutions through continuous development activities. Enterprise Estonia aligns its actions with the Research, Development, Innovation and Entrepreneurship Strategy RDIE 2035, where one of the priority areas is the application of digital solutions across all sectors of life. The goal is to develop innovative, high value-added IT systems, products, and technologies that support sectoral growth and enhance business competitiveness. This focus area is strengthened by technological developments, where challenges and solutions are driven by research and development — including artificial intelligence, digital twins, and cyber-physical systems.

Supporting digital transition and knowledge transfer encourages the creation of solutions based on new technologies, while also fostering interest and readiness to engage in continuous research and development activities.

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