01. Mykola Hayvanovych, Intel, Visits #theCUBE. (00:20)
02. Intel Is Not Just a Hardware Company. (00:38)
03. Advanced Analytics to Improve Healthcare. (02:17)
04. Intel Earning It's Right to Be a Trusted Advisor in the Market. (04:16)
05. Accumulo and Sqrrl. (06:17)
06. Enabling Customers from a Variety of Perspectives. (07:48)
07. Pushing Intensive Jobs Down to the Silicon. (08:45)
08. How Spark Is Useful and New Intel Memory Project. (10:18)
09. Moore's Law and Volume, Velocity, Variety and Value. (13:24)
10. Spark and Hadoop Complement Each Other Well. (16:04)
11. Will Data Scientists Become Obsolete. (16:48)
12. Machine Learning: Learning and Understanding Patterns. (22:12)
13. Hayvanovych's Role at MIT CDOIQ Symposium. (23:13)
Track List created with http://www.vinjavideo.com.
--- ---
Big Data volume, velocity and variety continue to grow; but what about value? | #MITCDOIQ
by Betsy Amy-Vogt | Jul 22, 2015
Intel Corp. is constantly earning it’s right to be a trusted advisor in the data management marketplace, according to Mykola Hayvanovych, global director of Data Science with Intel. Hayvanovych joined theCUBE, SiliconANGLE’s Media team, during an interview at the MIT CDOIQ Symposium 2015 event in Cambridge, MA.
Referring to a healthcare and life sciences use-case scenario to be discussed in his upcoming speech at MIT CDOIQ, Hayvanovych describes how advanced analytics and enriched data sources have been used to build an analytical model to predict and reduce patient re-admissions, saving the healthcare provider costs and increasing patient care standards. Hayvanovych believes that Hadoop’s ability to ingest and analyze heterogeneous data sources will “continue to change business and how it is done.”
Hayvanovych also discusses current projects, including Intel’s own Project Rhino, where features now enable cell-level security, and a new project to push intensive jobs typical of Hadoop down to the silicon level.
Maintaining a competitive edge
Applying Moore’s Law to software, Hayvanovych sees the three V’s of Big Data – Volume, Velocity and Variety – as continuing to grow exponentially. However, a fourth V – Value – is different. He believes that as data keeps growing exponentially, organizations will be forced to go through ever-increasing data faster and faster to maintain a competitive edge.
Wrapping the interview, Hayvanovych explains why he believes the role of the data scientist will remain relevant as the industry evolves. “There still will be the need for the person who will know which algorithm to take in specific context and apply to data to bring value to enterprise,” he says.
According to Hayvanovych, the key to being a great data scientist is not just the applied math knowledge, but knowing the context of the business and being able to think outside of the box. “It’s not about doing different things but doing things differently,” he says.
@theCUBE
#MITIQ
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01. Mykola Hayvanovych, Intel, Visits #theCUBE. (00:20)
02. Intel Is Not Just a Hardware Company. (00:38)
03. Advanced Analytics to Improve Healthcare. (02:17)
04. Intel Earning It's Right to Be a Trusted Advisor in the Market. (04:16)
05. Accumulo and Sqrrl. (06:17)
06. Enabling Customers from a Variety of Perspectives. (07:48)
07. Pushing Intensive Jobs Down to the Silicon. (08:45)
08. How Spark Is Useful and New Intel Memory Project. (10:18)
09. Moore's Law and Volume, Velocity, Variety and Value. (13:24)
10. Spark and Hadoop Complement Each Other Well. (16:04)
11. Will Data Scientists Become Obsolete. (16:48)
12. Machine Learning: Learning and Understanding Patterns. (22:12)
13. Hayvanovych's Role at MIT CDOIQ Symposium. (23:13)
Track List created with http://www.vinjavideo.com.
--- ---
Big Data volume, velocity and variety continue to grow; but what about value? | #MITCDOIQ
by Betsy Amy-Vogt | Jul 22, 2015
Intel Corp. is constantly earning it’s right to be a trusted advisor in the data management marketplace, according to Mykola Hayvanovych, global director of Data Science with Intel. Hayvanovych joined theCUBE, SiliconANGLE’s Media team, during an interview at the MIT CDOIQ Symposium 2015 event in Cambridge, MA.
Referring to a healthcare and life sciences use-case scenario to be discussed in his upcoming speech at MIT CDOIQ, Hayvanovych describes how advanced analytics and enriched data sources have been used to build an analytical model to predict and reduce patient re-admissions, saving the healthcare provider costs and increasing patient care standards. Hayvanovych believes that Hadoop’s ability to ingest and analyze heterogeneous data sources will “continue to change business and how it is done.”
Hayvanovych also discusses current projects, including Intel’s own Project Rhino, where features now enable cell-level security, and a new project to push intensive jobs typical of Hadoop down to the silicon level.
Maintaining a competitive edge
Applying Moore’s Law to software, Hayvanovych sees the three V’s of Big Data – Volume, Velocity and Variety – as continuing to grow exponentially. However, a fourth V – Value – is different. He believes that as data keeps growing exponentially, organizations will be forced to go through ever-increasing data faster and faster to maintain a competitive edge.
Wrapping the interview, Hayvanovych explains why he believes the role of the data scientist will remain relevant as the industry evolves. “There still will be the need for the person who will know which algorithm to take in specific context and apply to data to bring value to enterprise,” he says.
According to Hayvanovych, the key to being a great data scientist is not just the applied math knowledge, but knowing the context of the business and being able to think outside of the box. “It’s not about doing different things but doing things differently,” he says.
@theCUBE
#MITIQ
