Theses and Main Ideas

  • Digital Twins will provide the most business value while introducing new technology, data and complexity: you will use them to test designs, perform thousands of hours of simulation (including error simulations), plan your project upfront virtually, based on concrete specifications.
  • Digital Twins will allow you to share easily all this digital information, across the creation process, with every stakeholder involved in it: designers, budgeting personnel, project managers, builders, suppliers and process managers.
  • It can be applied to engineering, construction, medical research, manufacturing
  • Thus, companies need to start talking about Digital Twins in board meetings.
  • Digital Twins require communicating more data, as an enormous amount of data will already be contained in the digital model.
  • Digital twins are meant to be shared with stakeholders who design, test and build the real objects. For example, more than 100,000 people working in 57 different countries, in the design and building of a new commercial aircraft.
  • So we need a new communication technology/infrastructure: 5G
  • Telecom companies are responsible for deploying 5G networks.
  • 5G is necessary and a great advantage, as it allows stakeholders to transmit quickly all needed data at an adequate speed, helping businesses move forward.
  • Edge Computing arrives as another enabler: all that vast volume of data is processed both in the cloud and in local nodes, where data is produced (e.g.: Digital Twins simulating real objects), sharing processing power.
  • Prioritizing Edge Computing is required, beyond these new communication needs, also because of:
    • IoT
    • Real-time customer engagement
    • Augmented and Virtual Reality technology in media
  • Some data communications are not necessary any more: between local nodes and the cloud.
  • Quantum Computing (QC) will accelerate the entire process. But it is not yet a reality…
  • This exponential data growth makes companies focus on improving their security and compliance.
  • Automated robots are equipped with AI capabilities that allow them to adapt in real time.
  • This can only happen with AI applying Edge Computing for data collection and processing: some processing work is carried out by the processors in the robot. Only data that needs to be shared with other robots (or people) flows through the network.
  • As this data tends to grow, 5G is crucial in making possible this fast and remote communication.
  • But automated robots will not do all the job by themselves: the most successful sales & marketing teams find a balance between automation and personalization (the human input).
  • Cobots (collaborative robots) are already in place: they make processes more accurate and efficient. They do not curtail human intervention, but take advantage of both human creativity and robot’s effectiveness.
  • Cobots require learning how to boost mutual cooperation between both, at very short time intervals, thus applying improvements continuously.
  • Artificial Intelligence is not a “future technology, but a present and maturing one.
  • Internet of Everything (IoE) is a better concept than Internet of Things (IoT).
  • Currently not only “things” are connected, but also people (through wearables, Artificial Intelligence systems and Digital Twins (before becoming real objects or “things”) also produce and launch data into the network.
  • In projects both small (designing a simple piece of machinery) or huge (a new aircraft model), the management approach must be Agile:
  • Working by iterations, increments, without micromanagement.
    • Transparency in communication and information.
    • Empowerment of people
    • Looking for the quick win in each iteration of the investment.
    • The traditional “waterfall methodology is not efficient any more in a situation of uncertainty and lack of time: waterfall implies a lifecycle (plan-analyze-design-build-deploy-operate).
  • The issue is: admitting that uncertainty exists, what is the best way to manage it, since we are unable to obtain upfront all the information needed (to finish a 12-month project or investment, for instance)?
  • Agile is the suitable approach: it aims to obtain only the information needed to start; and then launch the work without delay (before the competition).
  • It allows for quick wins, to learn in every short period of time (called “iterations” or “sprints”) and to apply the new knowledge and information immediately for the next sprint.
  • In his way, the outcomes from every sprint tends to be optimal.
  • This approach generates the maximum value of any investment, within budget and timeline.