According to experts, the world is generating around 2.5 million terabytes on a daily basis and 90 percent of the data in the world today has been created in the last two years alone. Public and private enterprises are drowning in data. In spite of this explosion in data generation and collection organizations are struggling to analyze this data for actionable insights.
Data mining techniques are helping enterprises analyze data from commercial and scientific databases to discover previously unknown and hidden knowledge for predictive analytics. Big Data technologies enable organizations to collect, store and manage massive volumes of data and information. Organizations worldwide are already using data mining and big data technologies for smart decision making, cost and time savings, new product development, and innovation. This talk will present the latest trends and innovations within data mining and big data analytics and highlights best practices in the field while discussing successful real world cases.
About the speaker
Dr. Murli Viswanathan is an Associate Professor of information technology with Carnegie Mellon University, where he has been full-time faculty since 2007. He is also a Subject Matter Expert in Analytics with Accenture. Since 1996, he has accumulated diverse global experience in the field of information technology at various universities, including education, research, curriculum development, and project management. He holds senior membership with the Australian Computer Society and is a certified professional.
At Carnegie Mellon, Murli’s primary focus areas are lecture delivery, curriculum design, industry-student project management, and research activities. He trains students in business intelligence/analytics, data mining, enterprise architecture, information systems, and Object-Oriented Programming in JAVA. Since 2007 he has managed/coordinated many student projects with South Australian government departments and industry partners. In addition, he has substantial experience with research projects, course and curriculum design, and lecturing. Murli’s primary research interests include machine learning, big data, enterprise, architecture and philosophy of mind.
11:00am : Registrations
11.30am: Welcome and introductions
12.00pm: Seminar presentation by Prof Viswanathan