Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decisio

Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decisio - Opis

With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. This book helps you to understand Internet of Things in depth and decision science, and solve business use cases. With IoT, the frequency and impact of the problem is huge. Addressing a problem with such a huge impact requires a very structured approach. The entire journey of addressing the problem by defining it, designing the solution, and executing it using decision science is articulated in this book through engaging and easy-to-understand business use cases. You will get a detailed understanding of IoT, decision science, and the art of solving a business problem in IoT through decision science. By the end of this book, you’ll have an 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 Spis treści: 1. IoT and Decision Science2. Studying the IoT problem universe and Designing a Use case 3. ‘The What & Why’: Using Exploratory Decision Science 4. Experimenting Predictive Analytics 5. Machine Learning for Predictive Analytics6. Fast track Decision Science7. Prescriptive Science & Decision Making 8. Disruptions in IoT 9. A promising future O autorze: Jojo Moolayil is a data scientist, living in Bengaluru—the silicon valley of India. With over4 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, (...) więcej 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 amajor 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 solvingexperiments, he joined a fast growing IoT Analytics startup called Flutura based inBangalore and headquartered in the valley. Flutura focuses exclusively on Industrial IoTand specializes in analytics for M2M data. It is with Flutura, where Jojo reinforced hisproblem solving skills for M2M and Industrial IoT while working for the world's leadingmanufacturing giant and lighting solutions providers. His quest for solving problems atscale brought the 'product' dimension in him naturally and soon he also ventured intodeveloping 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 forIndustrial IoT use cases. As a part of his role in GE, Jojo also focuses on developing datascience and decision science products and platforms for Industrial IoT. mniej