It is time for companies to move their data science efforts out of the basement lab and into production applications and strategic decision-making.

For most organizations, data science is employed to transform data into value in the form improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose.

As a data scientist, you will often have to use a variety of different methods to extract data sets. You might be using open-data, data available via an API, data found in a database or in many cases a combination of these methods. In this Keynote Carlos will share learnings and guidance on how to extract value from Data Science initiatives.