Driving Innovation

The concept of a digital twin has been around for many years. The goal of a digital twin is to improve prediction by simulating actions before putting them into operation. Financial institutions have used simulations (complex algorithms) to anticipate market and portfolio changes before making investment decisions.

 

Most organizations are pursuing digital transformation initiatives to build more responsive "experiences" with their customers. These are useful exercises to learn how to use RPA, AI, & ML tools before embarking on developing a digital twin. 

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Designing and building a digital twin is an order of magnitude more complex than current digital transformation initiatives. You can't just build a set of algorithms to model all of the options and possibilities to predict impact of change across an organization.

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Contact us so we can help you answer the following questions:

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• Where do I begin ?

• How do I approach something this complex ?

• How much will this cost ?

• How many resources will it take and how long ?

• What is the impact on existing operations ?

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We offer companies an alternative approach that leverages their investments in systems and new technologies (RPA, AI, ML, NN) so they can design and build their digital twin using our Biz:DNA model. This approach combined with a progressive roadmap will provide the following benefits:

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• Minimal impact on existing resources

• Leverages existing infrastructure and systems

• Provides immediate benefit (which grows) as each piece of the Digital Twin is put in place, evolving your Biz:DNA

• Provides natural integration points for new technologies to help grow the Digital Twin, which accelerate the development

• Improves decision making across the organization

• Improves measurement of causality and prediction

• Reduces cycle time for sensing and responding to change

• Accelerates Enterprise Agility