04/23/2024 | News release | Distributed by Public on 04/23/2024 14:21
Advancements in artificial intelligence (AI) and machine learning have been transforming business operations across industries over the past three decades. Used responsibly, these technologies enable innovative solutions for evidence-based decision-making, predictive and prescriptive actions, intelligent automation and robotics to achieve trusted outcomes.
However, in applying AI, organizations face challenges in terms of usability, interpretability, and the end user experience. Such challenges require innovative approaches, and this is where digital triplets come into play.
A digital triplet extends the digital twin model to enable a decision-maker to use advancements in AI to interrogate the digital twin data. This includes the ability to request more situational information and to simulate and optimize outcomes under different scenarios.
The term digital triplet was first introduced in 2019 as a framework for combining the digital twin with two AI components-one for generating and comparing scenarios and another for explaining and justifying the recommendations. The concept was further developed in 2020 and applied in the context of precision medicine and chronic disease management.
CGI's digital triplet approach applies AI-driven analysis to increase the usability and interpretability of the insights. By synthesizing data quickly and communicating outcomes clearly, digital triplets help organizations improve decision-making.
The objective is to enhance both the AI capabilities and the human-AI interaction across multiple sectors. This allows for more personalized, evidence-based, and transparent decision-making and recommendations. In this way, the digital triplet serves as a virtual third-party advisor to the digital twin end user or decision-maker.
CGI's Digital Triplet Approach: Third-party advisor for decision-makers
As shown above, a digital triplet has three core components:
Today, digital twins help researchers conduct experiments and test hypotheses via computer simulation, without exposing the real entity to any risks or harm. Therefore, they are powerful tools for predictive maintenance, algorithmic operations, evidence-based decision-making, and more.
However, a digital twin alone may not be sufficient to provide optimal guidance for decision-makers who need to consider the implications of the information provided-not only the current and future state of a physical entity, but also the trade-offs, uncertainties, and preferences involved in making complex decisions related to that entity.
The digital triplet adds another layer of AI to generate and compare multiple scenarios, recommend the next best actions (options/advisor), interpret outcomes of scenarios in multiple states and contexts, and explain the reasoning behind digital twin interpretations. It can also provide more context for any resulting recommendations.
Additionally, the digital triplet enables interactions and scenario evaluations to be conducted in natural language through text or speech. It thus acts as an intelligent assistant, a virtual third-party advisor, that supports the human expert in making the best possible choices for any scenario.
Digital Triplet Interactions
While a relatively new concept, the digital triplet is not merely theoretical. It is a practical solution that has been implemented across multiple environments. For example:
The possibilities for using digital triplets to provide expert advice to business users is unlimited. The technology supports the analysis and investigation process and communicates the outcomes in a practical and conversational approach. This allows the user or decision-maker to vary the scenarios and ask validating and alternate criteria questions in natural language. The digital triplet contains the business context and reference information available and synthesizes the information quickly to explore options in partnership with the user.
Opportunities include:
The power of GenAI is becoming clear as virtual AI-powered assistants are entering the everyday lives of citizens, customers and employees-for example, Microsoft Copilot, image and video generators. CGI's digital triplet solution extends those capabilities to not just act as an advisor, but to also embody a multi-model ecosystem founded upon responsible AI principles to provide increased functionality and increase the value of existing and new digital twin investments.
A digital triplet presents a great opportunity for organizations to apply human-AI collaboration and create trusted outcomes at scale. Organizations must start envisioning, exploring, engineering and expanding their capabilities with digital triplets.
Want to start a conversation? Feel free to contact me for a discussion. I also invite you to read about a recent discussion my colleague Fred Miskawi and I had with Technology Business Research, Inc., about digital triplets and other GenAI topics in "Research firm TBR spotlights CGI's GenAI capabilities."
Back to topDiane leads the AI Research Center in CGI's Global AI Enablement Center of Excellence, responsible for establishing CGI's position on applied AI offerings and thought leadership.