All Things Data

Nagaraj Srinivasan is Senior Vice President of Landmark and Halliburton Digital Solutions. We discuss Data Science applied to best practices with regards to digital and data needs for driving a huge organization like Halliburton from a geophysical point of view, environmental health and safety, etc.

Srinivasan joined Halliburton in 2011, focusing on product strategy and delivery of Landmark software. Since then, he has been responsible for the design, build, commercialization and implementation of the DecisionSpace® suite of applications and platform technologies.

Srinivasan has extensive experience leading teams in developing and delivering enterprise-class software solutions. Prior to joining Landmark, Srinivasan had a successful 18-year career with Oracle, where he was vice president for Supply Chain Products. He also served as Oracle’s senior director of Advanced Planning for Applications and director of business development for Supply Chain. He holds several patents in technology and supply chain management.

Srinivasan serves on the MS Analytics Advisory Board of the Texas A&M University.

He holds a master’s degree in business management from the University of California, Los Angeles and a M.S in engineering from the University of California, Berkeley. He obtained his bachelor’s degree in technology from the Indian Institute of Technology, Madras.

Nagaraj Srinivasan is Senior Vice President of Landmark and Halliburton Digital Solutions. We discuss Data Science applied to best practices with regards to digital and data needs for driving a huge organization like Halliburton from a geophysical point of view, environmental health and safety, etc.

Srinivasan joined Halliburton in 2011, focusing on product strategy and delivery of Landmark software. Since then, he has been responsible for the design, build, commercialization and implementation of the DecisionSpace® suite of applications and platform technologies.

Srinivasan has extensive experience leading teams in developing and delivering enterprise-class software solutions. Prior to joining Landmark, Srinivasan had a successful 18-year career with Oracle, where he was vice president for Supply Chain Products. He also served as Oracle’s senior director of Advanced Planning for Applications and director of business development for Supply Chain. He holds several patents in technology and supply chain management.

Srinivasan serves on the MS Analytics Advisory Board of the Texas A&M University.

He holds a master’s degree in business management from the University of California, Los Angeles and a M.S in engineering from the University of California, Berkeley. He obtained his bachelor’s degree in technology from the Indian Institute of Technology, Madras.

Dr. Krishna is a Managing Director in KPMG LightHouse, KPMG’s Data & Analytics Center of Excellence. He specializes in helping KPMG clients innovate around Big Data Machine Learning, and next-generation Knowledge Management.

Previously he worked at Microsoft Bing as a Senior Researcher, before which, he held the position of Assistant Research Technologist with Arizona State University.

He has published over 40 technical journals and conference papers in leading Academic Venues and continues to promote Industrial Machine Learning in various industries.

Dr. Krishna is a Managing Director in KPMG LightHouse, KPMG’s Data & Analytics Center of Excellence. He specializes in helping KPMG clients innovate around Big Data Machine Learning, and next-generation Knowledge Management.

Previously he worked at Microsoft Bing as a Senior Researcher, before which, he held the position of Assistant Research Technologist with Arizona State University.

He has published over 40 technical journals and conference papers in leading Academic Venues and continues to promote Industrial Machine Learning in various industries.

Dr. Krishna is a Managing Director in KPMG LightHouse, KPMG’s Data & Analytics Center of Excellence. He specializes in helping KPMG clients innovate around Big Data Machine Learning, and next-generation Knowledge Management.

Previously he worked at Microsoft Bing as a Senior Researcher, before which, he held the position of Assistant Research Technologist with Arizona State University.

He has published over 40 technical journals and conference papers in leading Academic Venues and continues to promote Industrial Machine Learning in various industries.

Dr. Krishna is a Managing Director in KPMG LightHouse, KPMG’s Data & Analytics Center of Excellence. He specializes in helping KPMG clients innovate around Big Data Machine Learning, and next-generation Knowledge Management.

Previously he worked at Microsoft Bing as a Senior Researcher, before which, he held the position of Assistant Research Technologist with Arizona State University.

He has published over 40 technical journals and conference papers in leading Academic Venues and continues to promote Industrial Machine Learning in various industries.

Daniel Elizade is founder of TechProductManagment.com with the goal of demystifying IoT and providing a real-world guide to Product Managers wanting to build IoT products at scale.

He has an online class as well as a course at Stanford sharing product management specifically for IoT. You can find him on LinkedIn at https://www.linkedin.com/in/danielelizalde/ and Twitter at @delizade.

Daniel Elizade is founder of TechProductManagment.com with the goal of demystifying IoT and providing a real-world guide to Product Managers wanting to build IoT products at scale.

He has an online class as well as a course at Stanford sharing product management specifically for IoT. You can find him on LinkedIn at https://www.linkedin.com/in/danielelizalde/ and Twitter at @delizade.

We have the pleasure of speaking with Angela Zutavern, author of the Mathematical Corporation and Booz Allen Hamilton Vice President. Angela has pioneered the application of machine intelligence to organizational leadership and strategy. She is an inventor of the machine intelligence and data science strategies that are now helping business and government organizations make better decisions and gain competitive advantages.

Angela led Booz Allen’s most advanced data science R&D efforts, including in the areas of deep learning and quantum machine learning. She has worked with clients in every major U.S. cabinet-level department as well as in sublevel agencies. In addition, she has advised many Fortune 500 companies and led teams across every major industry. She is passionate about data science for social good and helped create the Data Science Bowl, a first-if-its-kind, world-class competition that solves global issues through machine intelligence.

A frequent industry, academic, and media speaker on the power of data science, Angela convenes the Chief Data Officer (CDO) Council for the U.S. federal government community. In addition, she is actively involved in strengthening diversity and inclusion, especially in technology, and is an enthusiastic champion of women in data science. Angela also serves on the board of directors of the U.S. Immigration and Customs Enforcement (ICE) Foundation, a nonprofit organization that supports ICE employees in their homeland security and public safety missions.

Angela can be found on Twitter: https://twitter.com/angelazutavern

Video: https://www.youtube.com/watch?v=1D69aQbPQF4

The Mathematical Corporation Book: https://www.amazon.com/Mathematical-Corporation-Intelligence-Ingenuity-Impossible/dp/1610397886/ref=sr_1_1?ie=UTF8&qid=1513702054&sr=8-1&keywords=The+Mathematical+Corporation

We have the pleasure of speaking with Angela Zutavern, author of the Mathematical Corporation and Booz Allen Hamilton Vice President. Angela has pioneered the application of machine intelligence to organizational leadership and strategy. She is an inventor of the machine intelligence and data science strategies that are now helping business and government organizations make better decisions and gain competitive advantages.

Angela led Booz Allen’s most advanced data science R&D efforts, including in the areas of deep learning and quantum machine learning. She has worked with clients in every major U.S. cabinet-level department as well as in sublevel agencies. In addition, she has advised many Fortune 500 companies and led teams across every major industry. She is passionate about data science for social good and helped create the Data Science Bowl, a first-if-its-kind, world-class competition that solves global issues through machine intelligence.

A frequent industry, academic, and media speaker on the power of data science, Angela convenes the Chief Data Officer (CDO) Council for the U.S. federal government community. In addition, she is actively involved in strengthening diversity and inclusion, especially in technology, and is an enthusiastic champion of women in data science. Angela also serves on the board of directors of the U.S. Immigration and Customs Enforcement (ICE) Foundation, a nonprofit organization that supports ICE employees in their homeland security and public safety missions.

Angela can be found on Twitter: https://twitter.com/angelazutavern

Video: https://www.youtube.com/watch?v=1D69aQbPQF4

The Mathematical Corporation Book: https://www.amazon.com/Mathematical-Corporation-Intelligence-Ingenuity-Impossible/dp/1610397886/ref=sr_1_1?ie=UTF8&qid=1513702054&sr=8-1&keywords=The+Mathematical+Corporation