IT/OT/ET convergence

Intelligent industry requires connecting people and technologies

What if the technologies and systems used by information management, production and product development formed a seamless whole, where digital threads weaved opportunities for new business and operation systems?

Convergence –⁠the connection of people and technologies

What are the benefits of convergence?

Increasing demands for efficiency, automation and security, as well as the necessity to modernise systems drive industrial companies towards convergence. Traditional industrial companies must modernise, digitalise and reform their processes comprehensively to maintain their competitiveness and operate more cost-effectively.

People, processes and technology are equally affected by this change. Convergence lays the foundation for the full utilisation of digital twins and AI. It is therefore essential that the top management of an organisation understands the opportunities and challenges of convergence so that their organisation can meet the change with a successful strategy. We at Gofore specialise in human-centred technological development.

Convergence is essential for companies that want to remain competitive, improve their efficiency and innovate in the digitalising and connected business environment of today. Impactful change starts with business needs.

Identify your digital potential service

  • Target setting. What does convergence mean for people, processes and business?
  • Identifying potential. We create a description of your baseline situation, which serves as a backdrop for assessing future change.
  • Implementation planning. We create a long-term roadmap and plan the first phase of implementation.
  • Option: Change execution. We provide you with expert services to successfully carry out, manage and guide implementation.
  • Verification of results. We analyse the impact of the changes from the point of view of the set goals.

The prices for the Identify your digital potential service starts at €19,000.

The future of intelligent industry lies in software solutions –⁠ We have over 20 years of experience in them

Architecture and data

Enterprise Architecture design ensures the compatibility, efficiency and scalability of the technologies and data for modernisation.

  • Defining the target state of the Enterprise Architecture, including organisation, processes and systems
  • Defining value streams
  • Planning the modernisation of technology
  • Planning the management of the data platform and master data based on value streams
  • Harmonisation of the data model and data
  • Harmonisation of information security

Implementation and convergence

Agile modernisation of technology and systematic change management are prerequisites for cost-effective reform.

  • Establishment of a modernisation team (centre of excellence)
  • Change management
  • Constant monitoring of the realisation of benefits
  • Upgrading technologies to support value streams
  • Implementation of system integrations
  • Data normalisation

Knowledge-based management

Convergence brings aggregated data from different sources into people’s daily lives, nourishing innovation and improving decision-making and operational efficiency.

  • Implementation of modern analytics and reporting
  • Development and deployment of AI solutions
  • Knowledge-based optimisation of operations and simulation of decisions
  • Utilisation of normalised data to develop digital twins
  • Leveraging data to create value-based digital services

Our lenses for success

Human Centricity

Products are designed and used by people.

The benefits of your renewal effort are capitalised only when people in various roles adopt the new mindset. The increasing complexity of modern intelligent machines requires new ways of working and thinking. This concerns not only people in management, R&D, and production, but also the end-customers.

Business-wise

Understand the entire lifecycle of your machine from the 1st idea to its life as part of your customers’ business.

​The transformation from traditional product development to digitalised machine lifecycle needs to be planned and led carefully to minimise business risks and to maximise the positive impact of faster development cycles and reduced time to market costs – and ultimately on future business performance.

Ethically balanced

Ensure ethical and environmentally responsible decision-making throughout the entire lifecycle of your machine.

Recognise the diverse needs of machine users and the impacts on our environment, and take appropriate actions beforehand than too late.

Tech-savvy

Technologies and systems act as enablers in your renewal.

Replacing the separate R&D and combining work in a form of a digital twin disrupts the way of designing, maintaining and recycling machines. With the help of model-based design and testing, it is possible to connect product management and engineering disciplines for achieving best results.

Contact us

Ari Hirvonen

Intelligent Industry

ari.hirvonen@gofore.com

+358 40 5662133

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