Statistics.Data Mining.Data Science.Machine Learning.AI.
No matter what you call it, the goal is to turn data into insights and improve decision-making.
Proponents suggest that removing the human element from the equation can result in more efficient and transparent outcomes, but what happens when the models or training data are incomplete, poorly documented, flawed, or even unlawful?
Compliance and Documentation = IP Value
When valuation relies heavily on intellectual property, software, algorithms, and data should be compliant and well-documented. Non-compliance and IP uncertainty pave a path to lost deal value, lawsuits, regulatory fines, or even collapse of the company.
IS YOUR DATA COMPLIANT?
Most data science and machine learning projects require large amounts of data, and it’s essential that this data is obtained and used lawfully and ethically. When data is sourced or used illegitimately, your “AI” can become fruit of the poisonous tree, destroying company value and reputation. Our team can help your organization identify and mitigate the impact of risks related to data compliance.
IS YOUR MODEL COMPLIANT?
Even if your company’s data is not intrinsically non-compliant or unlawful, its usage in certain contexts may create risks. Certain modeling techniques may be either prohibited or required in certain contexts, either due to transparency requirements or IP restrictions. Our team can help your organization identify and manage risks related to machine learning models so that you can maximize your enterprise value and efficiency.
IS YOUR DATA SCIENCE POLICY RESPONSIBLE?
Data science is hard. Figuring out how to integrate data science into your risk management and compliance frameworks is even harder. Employees, customers, investors, and regulators, however, don’t care if it’s not easy; they just want to know that you have a responsible plan to make it happen. That’s why we’ve open-sourced a Responsible Data Science Policy framework to help organizations get started on this journey.
You can use the framework independently, or we can work with you to: