Build vs Buy: What to Consider for a Data Science Platform

Let's talk Data!

Build vs Buy: What to Consider for a Data Science Platform

November 14, 2019 Podcast Archives 0

DATE: November 14th, 2019
TIME: 3 PM Eastern / 12 PM Pacific

The Guests

  • Micheal Grant, Anaconda
  • Stanley Seibert, Anaconda

About the Discussion

If you build it, they will come; however, if you buy it, you could save some funds. Every project is different; otherwise, buying the finished project would be the way to go. However, there are out of the box open source data science platforms but typically they, require some degree of understanding and are insufficient for large complicated projects. On the other hand, when looking to build large data science projects, depending on the complexity, feature creep, integration issues, etc, projects can quickly exceed estimated costs. The good news is, it doesn’t have to be one or the other. With proper planning, needs assessment, and specific goals, both large and small projects can be achieved efficiently and cost-effectively. We will explore these issues in this episode of DM Radio!

About the Host

Eric Kavanagh

CEO, The Bloor Group

Eric has nearly 30 years of experience as a career journalist with a keen focus on enterprise technologies. He designs and moderates a variety of New Media programs, including The Briefing Room, DM Radio and Espresso Series, as well as GARP’s Leadership and Research Webcasts. His mission is to help people leverage the power of software, methodologies and politics in order to get things done.