What is artificial
and how can it
What differentiates AI from predictive analytics is the ability to simulate the future and to learn faster than the pace of time. Daisy’s AI uses reinforcement learning so our technology continues to improve through trial and error to update its decision-making.
Theory of Retail™
We’ve created a set of mathematical laws that can help you better understand merchandising effectiveness and its impact on driving revenue.
Theory of Risk™
We have a proprietary approach to properly identify risk by measuring the causal relationships between all factors and the ripple effects that impact a business decision.
INSURANCE FRAUD IS GETTING MORE SOPHISTICATED –
LEARN HOW AI-POWERED TECHNOLOGY CAN FIGHT FRAUD
See what others don’t.
Embrace the power of AI to analyze all your data.
AI is powered by simulation or the ability to create possible business scenarios. To do simulations, you need a model of the environment in which these scenarios happen. Daisy has modeled the retail and insurance worlds, measuring the causal relationships between all factors and the ripple effects that impact a business decisions.
Our approach is based on a branch of artificial learning called reinforcement learning, which involves reinforcing good and bad decisions, and the process of trial and error – the same way that humans learn. AI-Powered simulations allow for the unknown to be known and for learning to happen faster than real time.
LEARN MORE ABOUT A:
WHAT IT IS, WHAT ISN’T, AND WHY NOW.
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