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How to Get the Best of Artificial Intelligence (AI) with Lean/Agile?

During the last few years, we have seen that nearly all technology based products and services must learn to leverage AI in order to compete effectively in the marketplace. We recommend adopting Lean/Agile principles and practices for this purpose. In this manner, organizations can continuously improve time to market and realize exceptional value early and often. In this post we’ll describe the top challenges that we see in the field as well as tips and tricks for applying Agile to get the best of AI. These are all patterns that we’ve applied successfully at AgileSparks in our work with a diverse set of clients. What are the top challenges that we’ve seen in the field regarding AI in the organization?

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Insights

Getting Real About Your Values – The Values Retrospective

Bringing values down to earth
Values and principles can often seem lofty and intangible so many agile practitioners prefer to focus on tools and practices. That’s understandable but unfortunate. Because values and principles have the potential to provide us with clarity and guidance that transcends what practices and frameworks can achieve. Ideally – part of your empiric inspection and adaptation process should explore whether you are living according to your values/principles. To achieve that you can try a value-based retrospective.

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Getting Started

Kanban Basics Reading List

Kanban 101 2014 02 kanbans not-so-hidden agendas 2 Kanban: Is it in the cards? – SD Times: Software Development News Crisp’s Blog » Kanban kick-start

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Agile Israel

Software Craftsmanship

Practicing Agile at the process level yields a great performance boost to development teams. In order to be able to persist a fast going pace, it is imperative to craft the code in a way that will support Agile. Embracing change in the process level without supporting it in the code level could bring a project to a total disaster.

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