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Agile2019 presentation
David Norton, Executive Director, CISQ
The human aspect that has been at the heart of agile success since its inception may well be its Achilles heel when it comes to scaling, and dealing with complex mission-critical environments; indeed, this sentiment has been used by many agile detractors. However, this does not have to be the case and could be the catalyst for an enhanced form of agile that combines the best of agile values and behaviour with modern systems engineering practices.
Next-generation agile will have to leverage unprecedented levels of automation from inception to implementation, and beyond. Techniques such as Model-Based Systems Engineering (MBSE), and Continuous Quality will enable digital twins augmented with AI and IoT sensor feedback, allowing developers to work with increasing levels of complexity in a safe and secure way - without sacrificing agile principles.
This interactive session will focus on a number of interrelated topics to help delegates formulate a strategy for next-generation agile engineering practices, including the following:
Tackling the problem of quality at speed, agile at scale with the correct application of relevant guidelines and standards to form a solid foundation to build on.
Re-evaluating MBSE in the context of agile and digital twins to support complex business ecosystems from strategy to implementation.
Dealing with human factors in the engineering process as we increase automation - when do we augment and when do we remove human actor.
Learning Outcomes:
How to maximise automation within agile and the DevOps toolchain with a strategy that takes advantage of emerging standards and best practices.
How to combine human-centric approaches such as design thinking and hypothesis- driven development with AI and IoT to improve the customer experience and innovation.
How to increase velocity and reduce lead time without sacrificing quality or generating high levels of technical debt.
How engineering methods such as Model-Based Systems Engineering and Systems of Systems Engineering combined with agile can tackle complex business ecosystems.
Agile2019 presentation
David Norton, Executive Director, CISQ
The human aspect that has been at the heart of agile success since its inception may well be its Achilles heel when it comes to scaling, and dealing with complex mission-critical environments; indeed, this sentiment has been used by many agile detractors. However, this does not have to be the case and could be the catalyst for an enhanced form of agile that combines the best of agile values and behaviour with modern systems engineering practices.
Next-generation agile will have to leverage unprecedented levels of automation from inception to implementation, and beyond. Techniques such as Model-Based Systems Engineering (MBSE), and Continuous Quality will enable digital twins augmented with AI and IoT sensor feedback, allowing developers to work with increasing levels of complexity in a safe and secure way - without sacrificing agile principles.
This interactive session will focus on a number of interrelated topics to help delegates formulate a strategy for next-generation agile engineering practices, including the following:
Tackling the problem of quality at speed, agile at scale with the correct application of relevant guidelines and standards to form a solid foundation to build on.
Re-evaluating MBSE in the context of agile and digital twins to support complex business ecosystems from strategy to implementation.
Dealing with human factors in the engineering process as we increase automation - when do we augment and when do we remove human actor.
Learning Outcomes:
How to maximise automation within agile and the DevOps toolchain with a strategy that takes advantage of emerging standards and best practices.
How to combine human-centric approaches such as design thinking and hypothesis- driven development with AI and IoT to improve the customer experience and innovation.
How to increase velocity and reduce lead time without sacrificing quality or generating high levels of technical debt.
How engineering methods such as Model-Based Systems Engineering and Systems of Systems Engineering combined with agile can tackle complex business ecosystems.
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