The best way to spread data-driven thinking through an organization is by proving that you can use data to solve a real business problem.
Archive for the ‘Interview’ Category
In this interview, Paco Nathan discusses making life more livable, AI fears, and more.
Business leaders cannot afford to ignore their organization’s data—rather, that data should be used to make informed decisions. In this post, Principal Data Scientist Tom Fawcett and Professor of Data Science Foster Provost discuss how businesses can make the most of their analytical teams. Tom and Foster are the authors of Data Science for Business. What aspect […]
Making truly data-driven decisions can be a daunting task. Learn the first steps businesses can take, and why the effort is worthwhile.
In this interview, we talk about extending the concept of interoperability between multiple libraries in Python into other programming languages, and the pain points this will address.
A quick overview of the motivation behind our instant and repeatable data platform tool.
In this interview, Travis talks about how to balance enterprise and open source, as well as what it takes to build a community.
Travis and I discuss breaking down silos, the importance of effectively communicating about cutting-edge technology, and where Anaconda is going next.