Data science has emerged as a new powerhouse for organizations. It has turned mountains of data into actionable business insights that can impact every part of the business. However, not all data science platforms and methodologies are created equal. The ability to use data science to make business decisions with transparency and accountability comes down to many factors. These may include whether the platform uses a Black Box or White Box model.
Once the industry standard, Black Box models offer high degrees of accuracy. Neither the transparency nor features required for accountability and actionable insights are provided. White Box models offer accuracy while also explaining how they behave, how they produce predictions and what influencing variables are available.
Read the full article “Mobile Apps That Use Big Data Better Do the Data Science Too” in App Developer Magazine featuring Ryohei Fujimaki, dotData CEO and founder.
