Inside Analysis

What Is Data Science?

It sounds so cool, and apparently, everyone’s doing it. But what, exactly, is data science? And how can your organization take advantage of this promising discipline? Check out this episode of InsideAnalysis to find out! Host Eric Kavanagh will interview Dr. Geoffrey Malafsky, CEO of Technik Interlytics. As a former scientist with the US Naval Research Center, Dr. Malafsky knows from experience about the necessary diligence required for conducting actual science.

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Eric Kavanagh

About Eric Kavanagh

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.

Eric Kavanagh

About Eric Kavanagh

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.

2 Responses to "What Is Data Science?"

  • Gannon (J) Dick
    January 18, 2021 - 4:02 pm Reply

    As Dr. Malafsky likely knows, on or about the 4th the CIA World Factbook “refreshed” their web presence. The new links include a valid sitemap.xml for ease of web crawler navigation. Sitemaps (and ccTLD schemes) still do not implement tax jurisdiction dependencies. They hide them in plain sight. Furthermore, the sitemap format discloses points of access privilege.

    Personally, I would appreciate it if Data Scientists would withhold comment until publication of my forthcoming book “The Coming Tax Avoidance Prosecution Apocalypse !!!” because it’s gauche to talk about money in far away places, especially mine, and downright nasty to doxx those places as if they were mere items on airline schedules.

    • Geoffrey Malafsky
      January 19, 2021 - 1:43 pm Reply

      Id love to learn more about your work. I have suspected the return to the 1960s era tax til they die mentality for awhile as it fits historical patterns of how democratic societies cycle between growth and decay. Im always interested, and read a lot, of how analysts conclude the likely near and mid-term scenarios and the role technology (inc practices) both influence these scenarios and fall prey to them as well (e.g. societal decay leads to technical decay in quality and trustworthiness). Since I am not currently familiar with your work, how is the Data Science issue incorporated?

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