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
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- AI Ethics (1)
- AI implementation (2)
- AI in business (3)
- AI roadmap (1)
- Artificial Intelligence (3)
- bandits (2)
- Contextual Bandits (1)
- Continuous Intelligence (4)
- digital strategy (2)
- ethics (1)
- Experimentation (8)
- fairness (1)
- IBM (1)
- Machine Learning (6)
- mlops (2)
- Next Best Actions (2)
- Product (1)
- Statistics (1)
- transparency (1)
- Uncategorized (1)
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
Data access patterns in next-best-action systems
A system for next-best-actions needs to resolve several challenges related to data access.
- Machine Learning
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
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
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