PPT-AIMLsys KI#7 discussion: OAM inputs for the E2E data volume transfer time analytics

OAM inputs for the E2E data volume transfer time analytics A potential issue with some of the proposed inputs 3GPP TSG SA WG2 premeeting 156e Emeeting 17 th 21 st April 2023 Agenda 992. Keeping up with the Quants & Lifting the mist.. Dr Andrew McCarren. What we start with?. Getting a clear picture. What is the question?. No exact answers?. Assumptions?. Variation (the same inputs don’t always give us the same answers). Stephan . Birkmann. / Jeff Valenti. 2. Simulator uses. Create. simulator. Performance. Description. Release. simulated. data. Organize. data. challenge. Release. simulator. 3. Agree on simulation . g. Cary Moretti, CTO | . HockeyTech. Ottawa . Hockey . Analytics, Carleton . University, Ottawa. the world’s premier provider of digital tools, analytics and data services for . the elite level of hockey. Philip Kim. Senior Director, Big Data and Analytics. UNDER ARMOUR. ®. pkim@underarmour.com. Overview. OPPORTUNITY. CENTER THE VISION. TECHNICAL ARCHITECTURE. USER STORIES. ENGAGEMENT MODEL DESIGN. TEAM STRUCTURE. Overview . of Spatial Big Data and . Analytics. (8:40-9:15am). James B. Pick. University of Redlands School of Business. James_pick@redlands.edu. . Pre-ICIS Workshop on Locational Analytics, Spatial . Remco Chang. Assistant . Professor. Department of Computer Science. Tufts University. Big Data Visual Analytics:. A User-Centric Approach. “The . computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation. Yair . Levy, Ph.D.. Graduate . School of Computer and Information . Sciences . Michelle M. . Ramim. , Ph.D.. Huizenga School of Business and Entrepreneurship . “Procrastination . is the art of keeping up with yesterday. 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 . Dr. Brett M. Baker, AIG for Audit, NRC OIG. Manuel J. Mireles, Forensic Auditor, NGA OIG. Shiji S. Thomas, Forensic Accountant, NSF OIG. Analytics 101 Outline. At the end of this session you will be able to understand:. 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 . James Pick and Namchul Shin. 1. Definition of Spatial Big Data. Big Data . are “data sets that are so big they cannot be handled efficiently by common database management systems” (Dasgupta, 2013).. New CCC Admissions Directors Training. September 2018. Bob Quinn. This Hour…. Role of the Transfer & Articulation Unit. Vision for Success - Transfer. New and Not So New Transfer-Related Initiatives. How real time dashboards can help you make better decisions.. @. thisistonylu. www.thisistony.com. . https://goo.gl/WrCDuv. No need to take notes! . We live in a world occupied by numbers. There is no escape. . anauctioncontractonEthereum,howdobiddersdeposittheirbidswiththecontractgiventhatalltransactionamountsinEthereumarepubliclyvisible?Thereareseveralwayspeopledealwiththisprobleminpractice.EthereumNameSer