PPT-Big data and predictive analytics – a scientific paradigm

Bo Sundgren Senior professor Dalarna University Keynote speaker NTTS 2017 mailto bosundgrengmailcom website httpssitesgooglecomsitebosundgren Contents Three examples of applications. Authors: Yoane Lopes and Victor . Mudarikwa. Big Data Analytics. Introduction. Authors: Yoane Lopes and Victor . Mudarikwa. Big Data Analytics. What is Big Data?. Authors: Yoane Lopes and Victor . Mudarikwa. San Francisco. , February 19, 2009. The Unrealized Power of Data. Andreas Weigend. people & data. Outline. Q: Current bottleneck for you in your business? (Scarce . vs. abundant)?. Historical perspective. Brian Z. Brown, FCAS, MAAA. Principal and Consulting Actuary. Stan Smith. Predictive Analytics Consultant . April 29, 2016. Advancements In Reserving. Use of stochastic methods.. . Advancements in computing power have allowed for more sophisticated reserving methodologies. December 2013, Jakub Miarka, University of Leeds. RapidMiner. Formerly called . YALE. (Yet Another Language Environment). Environment for . machine learning, data and text mining, predictive and business analytics. Class 5. Tony Cox. tcoxdenver@aol.com. . University of Colorado at Denver. Course web site: . http://cox-associates.com/6330/. . What is a predictive model?. “The probability that X will happen is p” is a predictive model. Federal Big Data Working Group Meetup. November 3, 2014. Dave Vennergrund. Director Predictive Analytics and Data Science. David.Vennergrund@salienfed.com. 571 766 2757. Salient Data Analytics Center of Excellence. Distraction?. Mark Birkin. Professor of Spatial Analysis and Policy,. School of Geography, University of Leeds. Director, ESRC Consumer Data Research Centre. Director, Leeds Institute for Data Analytics. is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . Industry Landscape. BIG. DATA. Data that is . TOO LARGE . & . TOO . COMPLEX . for conventional data tools to capture, store and analyze.. Shares traded on US Stock Markets each day:. 7 Billion. Data generated in one flight from NY to London:. C. ultural . E. ntrepreneurship. @. andyhamflett. WHY AM I HERE?. DATA = BAD. DATA = BAD. DATA = BAD. DATA = MISUNDERSTOOD?. SESSION OUTLINE. SESSION OUTLINE. SESSION OUTLINE. BIG DATA – QUÉ?. @AAM_Associates @andyhamflett . NIH – Project Management Community Meeting – . November 9, 2011. Contact Information. Jon . Desenberg. Policy Director. The Performance Institute . 805 15. th. Street N.W. 3. rd. Floor. Washington, DC 2005. CLASS : III MCA - V SEM. DATE : 10.08.2020. PRESENTED BY. PROF. M. ABDULLAH. ASSOCIATE PROFESSOR. DEPT. OF COMPUTER SCIENCE,JMC,TRICHY - 20 . Studying. By . Shepherd Fungura, . BCom. , FASSA, FIA. President of Actuarial Society of Zimbabwe . Group Chief Risk Officer at Old Mutual Zimbabwe. @. Insurance Institute of Zimbabwe Winter School – Monday 22 August 2016. IOT. Under Guidance : . . Prof. B.A.Khivsara mam. Presented By: . Monali Chavan. . TE Computer,. . Late Sau. Kantabai Bhavarlalji Jain, .