Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Singapore

Making sense of the sensors: Connecting the IoT and analytics

2:35pm–3:15pm Wednesday, December 7, 2016
IoT and intelligent real-time applications
Location: 328/329 Level: Intermediate
Average rating: ***..
(3.00, 1 rating)

Prerequisite Knowledge

  • A basic familiarity with IoT concept and opportunities
  • A basic understanding of analytics (advanced analytics, data mining, data science, etc.)

What you'll learn

  • Understand the key success factors for generating value out of IoT initiatives
  • Explore real-life use-case examples from the manufacturing, telecommunications, and utilities industries

Description

Combining the power of the IoT and big data analytics opens the doors to a wide range of opportunities for organizations to solve new challenges that create an impact on the world that we live in. Innovation and revolution in technology have brought about a change in perspective of the problem of integrating the two wonders of science.

Frank Saeuberlich and Karthik Thirumalai explain why data management, data integration, and multigenre analytics are foundational to driving business value from IoT initiatives. Frank and Karthik share big data analytics use-case examples from manufacturing, utilities, and telecommunication, with a focus on how to identify patterns and signals in this new data to drive operational efficiencies and generate business value, outline best practices with respect to end-to-end architecture to implement big data analytics at scale, and provide an overview of state-of-the-art analytics applied in IoT initiatives.

Photo of Frank Saeuberlich

Frank Saeuberlich

Teradata

Frank Säuberlich is Teradata’s director of data science, a role that demands combining demand generation across EMEA and APAC with analytical innovation. Previously, Frank worked at Urban Science International, where he was regional manager responsible for customer analytics working with client teams around the globe to implement analytical solutions and pioneering new types of analysis to improve the efficiency of automotive clients’ marketing efforts, as well as a European customer solutions practice manager responsible for the Urban Science Customer Solutions practice in Europe. Before joining Urban Science, Frank was a senior technical consultant in data mining at SAS, Heidelberg, Germany, where he focused on e-intelligence and CRM in addition to data mining topics. Frank is a member of the German Classification Society. He holds a PhD in economics and a master’s degree in economic mathematics from the University of Karlsruhe.

Photo of Karthik Bharadwaj Thirumalai

Karthik Bharadwaj Thirumalai

Teradata

Karthik Bharadwaj is a senior data scientist in the Data Science Center of Expertise at Teradata, where he provides analytic thought leadership and generating demand for Teradata products. Karthik has seven years of experience in working in the data management and analytics industry. Previously, he worked as a researcher at IBM Research to develop smarter transportation systems that predict traffic on the Singapore road network. Karthik holds a master’s degree from the National University of Singapore.