Replacing man with machine, and the Age of Data 3.0 | #MITCDOIQ
by Brittany Greaner | Jul 14, 2016
Could Artificial Intelligence (AI) take over more than just factory jobs? There are some who believe AI could take over many of the white-collar jobs as well, including IT. Today’s guests on theCUBE, from the SiliconANGLE Media team, will talk about all the issues surrounding AI, the role of the chief data officer (CDO) and much more.
Discussing the conference events were Stu Miniman (@stu) and Paul Gillin (@pgillin), hosts of theCUBE, who were live from the MIT CDOIQ Symposium taking place at the MIT Campus in Cambridge, MA.
“There’s a coffeehouse of ideas that happen in the Symposium because it’s so small,” Miniman said.
Defense and offense
Yesterday’s talks at the Symposium focused a lot on governance, which is generally a form of defense, and internal operations. In contrast, looking at today’s talks reveals a theme of offense with startups, innovations and external relations. Neither offense or defense works well without the other; it has to be a balance, according to theCUBE hosts.
The Age of Data 3.0
Another theme of today’s talks was set by the keynote speaker, Tom Davenport, professor at Babson College, research fellow at MIT Center for Digital Business and senior advsior at Deloitte Analytics. His talk centered around what he calls the “Age of Data 3.0.” In this new age of data, everyone will have to become some kind of data analyst.
With this kind of trend on the horizon, Gillin pointed out that it will have to be more than just dispersing technology; we have to teach people how to use the tools and keep up with the new innovations. Hadoop, a Java-based programming framework that supports the processing of large data sets in a distributed computing environment, is an example where this seems to be failing a bit, with people having trouble acclimating to yesterday’s updates while implementing today’s.
Cooperation instead of competition
As for being replaced by machines, Miniman said instead of racing with the machine, we’ll need to work together. Combining that automation with human creativity and knowledge is the best way to work — and better than either computers or humans on their own.
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MITCDOIQ Day Two Kickoff
Replacing man with machine, and the Age of Data 3.0 | #MITCDOIQ
by Brittany Greaner | Jul 14, 2016
Could Artificial Intelligence (AI) take over more than just factory jobs? There are some who believe AI could take over many of the white-collar jobs as well, including IT. Today’s guests on theCUBE, from the SiliconANGLE Media team, will talk about all the issues surrounding AI, the role of the chief data officer (CDO) and much more.
Discussing the conference events were Stu Miniman (@stu) and Paul Gillin (@pgillin), hosts of theCUBE, who were live from the MIT CDOIQ Symposium taking place at the MIT Campus in Cambridge, MA.
“There’s a coffeehouse of ideas that happen in the Symposium because it’s so small,” Miniman said.
Defense and offense
Yesterday’s talks at the Symposium focused a lot on governance, which is generally a form of defense, and internal operations. In contrast, looking at today’s talks reveals a theme of offense with startups, innovations and external relations. Neither offense or defense works well without the other; it has to be a balance, according to theCUBE hosts.
The Age of Data 3.0
Another theme of today’s talks was set by the keynote speaker, Tom Davenport, professor at Babson College, research fellow at MIT Center for Digital Business and senior advsior at Deloitte Analytics. His talk centered around what he calls the “Age of Data 3.0.” In this new age of data, everyone will have to become some kind of data analyst.
With this kind of trend on the horizon, Gillin pointed out that it will have to be more than just dispersing technology; we have to teach people how to use the tools and keep up with the new innovations. Hadoop, a Java-based programming framework that supports the processing of large data sets in a distributed computing environment, is an example where this seems to be failing a bit, with people having trouble acclimating to yesterday’s updates while implementing today’s.
Cooperation instead of competition
As for being replaced by machines, Miniman said instead of racing with the machine, we’ll need to work together. Combining that automation with human creativity and knowledge is the best way to work — and better than either computers or humans on their own.
