Turn your data into new business opportunities
How DSM works
Three steps to trust-worthy AI
The three components of our DSM each play an integral role in ensuring your company’s safe, efficient use of AI and data.
Rapid Data Valuation
Rapid Data Valuation uncovers the predictive potential of a dataset, empowering you to be more proactive in your journey towards machine learning. With the help of Rapid Data Valuation, you gain adapted quality measures and targeted recommendations to improve the utility of your data and to increase its predictive power.
The Optimisation Engine is able to perform model benchmarks and provides you with the best machine learning model to tackle a business question. It generates thousands of models within minutes, offering model comparison, hyperparameter optimization and feature engineering. This quality control is absolutely key in guaranteeing the delivery of the best solution possible to you.
Black Box Illuminator
Last but not least, the Black Box Illuminator provides you the opportunity to shed light on and audit the underlying decision-making processes of your machine learning model. The Black Box Illuminator allows you to gain valuable understanding of your AI solution and at the same time increases trust in your chosen model.
AI is a part of the present, not just the future. This requires AI to be transparent and understandable.
Making AI intelligible can foster trust, enable control and make the results produced by machine learning more actionable. Enhancing the public’s trust also requires being able to audit AI models and gain valuable understanding of what's behind a given model. DSM does all this and much more.
Are you interested in how PwC’s Data Science Machine can help you on each step of the AI journey?
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