Jojo Moolayil - Smarter Decisions - The Intersection of Internet of Things and Decision Science

Jojo Moolayil is a data scientist, living in Bengaluruthe silicon valley of India. With over 4 years of industrial experience in Decision Science and IoT, he has worked with industry leaders on high impact and critical projects across multiple verticals. He is currently associated with GE, the pioneer and leader in data science for Industrial IoT.

Jojo was born and raised in Pune, India and graduated from University of Pune with a major in information technology engineering. With a vision to solve problems at scale, Jojo found solace in decision science and learnt to solve a variety of problems across multiple industry verticals early in his career. He started his career with Mu Sigma Inc., the world's largest pure play analytics provider where he worked with the leaders of many fortune 50 clients. With the passion to solve increasingly complex problems, Jojo touch based with Internet of Things and found deep interest in the very promising area of consumer and industrial IoT. One of the early enthusiasts to venture into IoT analytics, Jojo converged his learnings from decision science to bring the problem solving frameworks and his learnings from data and decision science to IoT.

To cement his foundations in industrial IoT and scale the impact of the problem solving experiments, he joined a fast growing IoT Analytics startup called Flutura based in Bangalore and headquartered in the valley. Flutura focuses exclusively on Industrial IoT and specializes in analytics for M2M data. It is with Flutura, where Jojo reinforced his problem solving skills for M2M and Industrial IoT while working for the world's leading manufacturing giant and lighting solutions providers. His quest for solving problems at scale brought the 'product' dimension in him naturally and soon he also ventured into developing data science products and platforms.

After a short stint with Flutura, Jojo moved on to work with the leaders of Industrial IoT, that is, G.E. in Bangalore, where he focused on solving decision science problems for Industrial IoT use cases. As a part of his role in GE, Jojo also focuses on developing data science and decision science products and platforms for Industrial IoT.

I would like to sincerely thank my employers Mu Sigma, Flutura and GE for all the opportunities and learnings I got to explore in decision science and IoT. I would also like give deep thanks and gratitude to my mentors Mr. Samir Madhavan and Mr. Derick Jose, without their efforts this book quite possibly would not have happened.

Anindita Basak works as Azure and big data consultant for one of the global software giant and helps partners/customers to enablement of Azure SaaS solution architecture development, data platform & analytics guidance implementation. She is an active blogger, Microsoft Azure forum contributor and consultant as well as speaker. In her 8+ years of experience lifecycle majorly worked in Microsoft .Net, Azure, Big Data and Analytics. Earlier in her career, she worked with Microsoft as FTE as well as v-employee for various internal Azure teams. She recently worked as technical reviewer for the following books from Packt Publishing: HDInsight Essentials First Edition, HDInsight Essentials Second Edition, Hadoop Essentials, and Microsoft Tabular Modeling Cookbook.

I would like to thank my mom and dadAnjana and Ajit Basakand my loving brother Aditya. Without your help and encouragement I can't reach the goal of my life.

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The Internet of Things and decision science are among the most trending topics in the industry right now. The problems we solve today have become increasingly ambiguous, uncertain and volatile, and therefore the means to solve them. Moreover, problem solving has evolved from solving one specific problem using data science to the art of problem solving using decision science. The Internet of Things provides a massive opportunity for business to make human life easier which can only be leveraged using decision science.Smarter Decisions The Intersection of Internet of Things and Decision Science, will help you learn the nuances of IoT and Decision and practically aid you in smarter decision making by solving real-life Industrial & Consumer IoT use cases. The book gives paramount focus on solving a fundamental problem. Therefore, the entire journey of addressing the problem by defining, designing and executing it using industry standard frameworks for decision science is articulated through engaging and easy-to-understand business use cases. While solving the business use cases, we will touch base with the entire data science stack that is descriptive + inquisitive + predictive + prescriptive analytics by leveraging the most popular and open source software 'R'. By the end of this book, you'll have complete understanding of the complex aspects of decision making in IoT and will be able to take that knowledge with you onto whatever project calls for it.