ODSC East 2018 Preview - A Q&A with ODSC Founder and CEO Sheamus McGovern

April 3, 2018

Data science. It’s a sector of technology that encompasses quite a lot of favorite topics including AI, machine learning, and deep learning analytics. It is also a field that, from an academic standpoint, is incredibly intriguing to anyone with even a passing interest in those technologies mentioned.

The Open Data Science Conference (ODSC) is a worldwide organization that brings experts in this field together to foster knowledge and development in all of these open source technologies.

In the first week of May, the Boston Exhibition & Convention Center will host the ODSC East 2018 event. The four-day event will have a myriad of speeches, panels, and workshops devoted to all things that fall under the data science umbrella.

In order to get a closer look at what attendees can expect to see at this year’s conference, we had a chance to speak with ODSC Founder and CEO Sheamus McGovern. During our conversation, McGovern explained how the conference came together and talked at length about who some of the guests are.

Also, if you are interested in attending the conference, you can receive 40% off your ticket using the code VENTUREFIZZ. Although you might want to sign up fast...tickets do sell out.

Colin Barry: The Open Data Science Conference is one of Boston tech’s premier events. What was the catalyst for the founding of ODSC?

Sheamus McGovern: There’s incredible demand for data science skills, but it's an increasing broad field.  We saw the need for a conference that allowed someone to quickly grasp the latest data science techniques and tools regardless if they were just starting their data science career or already had a Ph.D.

The conference has two main areas.  One deals with learning and applying data science languages, tools, topics, and models across the industry and in the real world. The second is around innovation in artificial intelligence and its impacting on business and society.  We have companies ranging from startups to fortune 500 including Algorithmia and DataRobot to IBM and Microsoft.

Finally, it needed to be an event welcoming to both data scientists and business professionals, where one could network, learn and perhaps collaborate. A place where insight from a five-minute conversation could save weeks of work or research.

CB: What kinds of technology encompass the term ‘open data science’?

SM: We call the conference Open Data Science since it refers to the open exchange of ideas around data science. Technology topics encompass deep learning, machine learning, predictive analytics, conversational AI, machine vision, and autonomous machines.

Many of the most important breakthroughs in data science and AI were openly shared by academics, labs, and others. We want to encourage and help grow that open exchange.
Hundreds of open source data science projects such as Python, R, scikit-learn, and Tensorflow have fueled the rapid growth of data science and artificial intelligence.  Anyone seeking to work on deep learning, machine learning, predictive analytics, autonomous machines and more has dozens of free and open source tools to choose from.

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