We all have our own personal biases. The question is how do you keep them out of your data so that you can create better products for your customers? In this episode of the Impact Podcast, we welcome renowned mathematician and author Cathy O’Neil to the show. Cathy has long called for an end of conditional trust in big data, and shares her views on why data is so vulnerable to bias, the massive implications this can have and what your business needs to do to avoid it. You’ll learn about: - How personal bias affects data - Developing a data strategy to avoid bias - How to communicate bias to end users - Creating a data Bill of Rights - The risks to companies of having biased algorithms Access the show notes here: http://bit.ly/2lzzD5m