How to scale the use of AI within your organisation
How you safely run hundreds of AI and ML models driving better customer outcomes and growth.
- AI in business
- AI implementation
- digital strategy
- Machine Learning
About Stephen Hardy
Stephen 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.
GitHub: github.com/sjhardy
Author's posts
How to detect algorithmic bias in production
Sometimes, algorithms look biased but might not be, and other times algorithms look unbiased but may be - how can you tell?
- AI Ethics
- Experimentation
- Machine Learning
- Artificial Intelligence
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.
- Machine Learning
POWERful Contextual Bandits
Real-time personalized recommendations in enterprises with contextual bandits. Keep your automated recommendations relevant in a post COVID-19 world.
- IBM
- Contextual Bandits
Next-Best-Action Recommendation
Reinforcement learning, supervised learning, contextual bandits, active learning – how do they all fit together to make better customer outcomes?
- Continuous Intelligence
- Experimentation
- Machine Learning
- Artificial Intelligence
Turning an AI strategy into an AI plan
You have set strategic goals for AI in your organisation, but how do you turn a strategy into a successful implementation plan?
- experimentation
- AI roadmap
- AI in business
- AI implementation
Experimentation - the hidden layer in the data science pyramid
Why experimentation is required for a good return on your data investment.
- experimentation
- digital strategy
- AI in business
Introducing Atmosphere
Here we introduce Atmosphere – Ambiata’s new continuous intelligence service – and explain how it fits into our renewed values and purpose.
- Product
- Continuous Intelligence
- Experimentation
- Machine Learning
- Artificial Intelligence