
An architecture for enabling next-best-actions for your customers
At Ambiata, we have built a next-best-action system for automated decisioning which is currently used in production on a variety of use cases.
Read moreStephen is a data science thought-leader and CEO of Ambiata.
Stephen’s success has been built around strong leadership in the application of data science to solve business challenges through the application of data science and data techniques. Over the years, he has built and led highly capable data science teams at CSIRO/Data61, NICTA and Canon, and has over 20 years of experience in the data science field, particularly in the areas of the ethical use of personal information and of data privacy.
Stephen has a strong technical background, including algorithm design and implementation, machine learning, data wrangling, data security, cryptography and privacy. He has designed and delivered major data analytics projects for corporate and government clients alike.
Stephen has a PhD in Physics, is an author on over 20 academic publications and an inventor on over 20 US patents and applications.
At Ambiata, we have built a next-best-action system for automated decisioning which is currently used in production on a variety of use cases.
Read moreReal-time personalized recommendations in enterprises with contextual bandits. Keep your automated recommendations relevant in a post COVID-19 world.
Read moreReinforcement learning, supervised learning, contextual bandits, active learning – how do they all fit together to make better customer outcomes?
Read moreYou have set strategic goals for AI in your organisation, but how do you turn a strategy into a successful implementation plan?
Read moreWhy experimentation is required for a good return on your data investment.
Read moreHere we introduce Atmosphere – Ambiata’s new continuous intelligence service – and explain how it fits into our renewed values and purpose.
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