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Our presenters

Display profiles of your presenters [trainers, coaches, facilitators] within this section of your website. It’s simple to add a profile, just open your presenter record in Arlo and from the presenter tab, add their profile content, then tick ‘Show this presenter on the website’.

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Klaus Leopold

Dr. Klaus Leopold is computer scientist and Kanban pioneer with many years of experience in helping organizations from different industries on their improvement journey with Lean and Kanban. He is author of the book Practical Kanban and co-author of the book "Kanban Change Leadership”. Klaus is one of the first Lean Kanban trainers and coaches worldwide. He was awarded with the Brickell Key Award for “outstanding achievement and leadership” within the Lean Kanban community in San Francisco, 2014. His main interest is establishing lean business agility by improving organizations beyond the team level, especially in large environments from 50 to 5000 people. Klaus speaks regularly at renowned Lean and Kanban conferences worldwide. He publishes his current thoughts on his blog www.LEANability.com and you can follow him on Twitter at @klausleopold.

Troy Magennis

Troy has been involved with technology companies since 1994, fulfilling roles from QA through to VP for multinational companies. Troy speaks at many Agile conferences and has played an Agile training and mentoring role for executives in small and large organizations. Previous clients include: Walmart, Microsoft, Skype, Sabre Airline Solutions, Siemens Healthcare.Troy currently consults and trains organizations wanting to improve decision making on software portfolio and project questions through Agile and Lean thinking and tools. Applying Scrum and Lean techniques appropriately and where they are going to make this biggest benefit through quantitative rigor. Troy has many books and articles on software development and practices, his most recent is “Forecasting and Simulating Software Development Projects: Effective Modeling of Kanban & Scrum Projects using Monte Carlo Simulation”.

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