AI and automation form the backbone of digital twins. By feeding the digital twin with data, enterprises can test the physical manifestation of the product, thus fast-tracking innovative, smart, and resilient product design. This expedites the product delivery to the supply chain and eventually the customer, thereby shrinking manufacturing cycles from months to weeks. This helps power customer-led, design enabled, and agile product development.
Hyper-personalisation and hyper-automation are enabling the customer data to be applied to the design process
This opens a whole new world of opportunities where customer data and customer's voice are not saved for future product development. Instead, product update or re-invention is ongoing and agile.
This is a completely new frontier and re-orchestrates the traditional R&D and manufacturing model. By leveraging digital twins organisations can deliver richer and more personalised experiences to their customers, that were previously reserved for luxury brands.
Scaling digital twins
After experimenting at the testing or validation phase, scaling digital twin technologies helps organisations reap tremendous value.
The 3 benefits these presents are:
Understanding consumer needs and aspirations for new products and/or features
Translate consumer behavior into actionable insights that drive product design, manufacturing and revenue growth
As AI and digital twin capabilities mature, it allows the creation of a completely automated design, thus providing first-mover-advantage through agile manufacturing and route to market
Data, AI, IA maturity will accelerate digital twins
Intelligent data feeds to the digital twin offers an advanced way to leverage varied data streams for critical insights and delivering enterprise-wide gains.
A mature, automated enterprise already has a wealth of data (from machinery such as logging tools, sensors, geophones and products such as feedback, design realignment, experiences) to create comprehensive information sets that provide automation value.
When this data feeds to the digital twin it offers an advanced way to leverage these data streams for critical insights and deliver enterprise-wide gains.
How to get AI and IA accelerating digital twins?
Most innovative enterprises commence their digital twin journey with a pilot. Subsequently, they expand while drawing self-learning by:
Incorporating artificial intelligence and machine learning architecture
Inserting layers of cross data utilisation and governance Integrating functional and industry knowledge into automation and digital twin initiatives
AI and intelligent analytics allow the business leaders to comprehend the benefits obtained from efficient and effective feedback of design, asset allocation, increase in production, and higher ROI.
Intelligent analytics is the gamechanger for organisations and is a perfect way to commence the digital twin journey.
It provides a unified view of different processes to internal stakeholders thus enabling effective decision making. This helps augment product development, reduce downtime, optimize production efficiencies amongst others.
AI systems allow organisations to apply judgements and reasoning to the sophisticated knowledge base that is developed.
This enables organisations to harness untapped capabilities, that can be leveraged for intelligent automation, full process automation and user-driven product development. For ongoing gains organisations must continue to invest in capturing varied data and adding layers of intelligence in order to unlock value and continue to gain competitive advantage.
Intelligent automation and digital twins
As companies prioritise digital twins and AI they will progress towards maturity in intelligent automation, intelligent analytics and intelligent process automation thus embedding the full capabilities of an AI and digital twin solution.
IA systems extract data and precise data insight regeneration, resulting in efficient business processing. When further leveraged by digital twins it offers key advantages including:
Cost savings and improving productivity: IA runs with background data and evaluates the scale quickly without increasing risk, compromising quality, or straining the existing workforce. This reduces the waste of business resources such as time and human resources. Business leaders now have designated objectives on maximizing production and improving projected ROI.
Consistent accuracy through predictive operations: IA has a massive benefit in constructing valuable data insight where the system pushes high probability decision-making. Also, AI is the system that can handle large volumes of tasks without hesitation, freeing up trained employees to focus on cutting edge innovation
Enhance customer experience: Providing high business value, product add-services such as more reactive to market quicker, response answers to queries that create a positive customer experience and advance a competitive advantage around the point of differentiation.
Increased scalability, agility, and continuity of service: IA automation can perform operations without time lags or demand shortage, continuously.
When done well, digital twins will enable companies to reimagine growth, capabilities and product development. But the true value gain and transformation will be much larger. Ultimately, through these new capabilities, the organization will break the barriers of existing in the past and sprint into a hyper-personalised, evolving enterprise of the future.