Speaker at MIT CDOIQ 2018 on Machine Learning

The 12th Annual MIT Chief Data Officer and Information Quality Symposium

2018 Theme: “Exploiting Data Capital for Organizational Performance”

Date: Wednesday, July 18, 2018 – Friday, July 20, 2018

Location: Massachusetts Institute of Technology

Tang Building (E51), MIT East Campus

70 Memorial Drive, Cambridge, MA, USA 02142

Title: Machine Learning RosettaStone – A Premier for CDOs who intend to enable its use

Speaker: Ra’ad Siraj, Director, Data Management at MITIMCo (MIT Investment Management Company)

Abstract: Machine Learning is currently the state of the art in predictive technology and has substantially reduced the cost of prediction allowing many problems across all industries to be reframed as prediction problems.

What is it? Are there different types of Machine Learning? Is it the same as AI or Data Science? Is it another way of coding or something new? What is the learning in Machine Learning? What does data have to do with Machine Learning? How can CDOs enable use of this technology? What are the implications to data management, architecture, and technical debt? Is Big Data useful for Machine Learning? What about Small Data? How does DataOps fit in? Are there limits? What are some key measurements that are used? What are the ethical issues that are highlighted by using this technology?

While answering the questions above, we will demystify the unique terminology surrounding Machine Learning and map it to traditional Data Management terminology – hence the Rosetta Stone metaphor.