BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20191103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190608T200224Z UID:06551992-723D-43D0-8369-FE53B923B17A DTSTART;TZID=US/Pacific:20190604T180000 DTEND;TZID=US/Pacific:20190604T200000 DESCRIPTION:Speaker Bio\nIgor Prislin\, PhD www.bmt.org\n\nDr Prislin has e arned his PhD in Ocean Engineering at Texas A&M and MS in Naval Architectu re at University of Zagreb\, Croatia. His professional interests have been oriented towards oil and gas energy sector.\n\nHis experience ranges from teaching\, hydrodynamic model testing\, numerical simulations\, field dat a analyses\, and more recently data analytics\, all related to ships and o ffshore platforms.\n\nAbstract\nIn today’s technical and digital revolut ions\, ocean industries are more than ever affected by the data\ntransform ation paradigm shift. A paradigm shift can be defined as a fundamental cha nge in the basic\nconcepts and experimental practices of scientific and pr actical disciplines. The data transformation\nparadigm shift occurring tod ay\, is associated with moving from a collection of relatively large volum es of\ndata that\, in the past\, have rarely been used in day to day opera tions\, to the present day case of\ncontemporary big data analytics that a im not only to merge historical data with even larger volumes and\nvarieti es of near real-time data\, but also to analyze all these data sets to unc over patterns and\nconnections that might otherwise be invisible.\n\nData analytics resides on Artificial Intelligence (AI) and its subclasses Machi ne Learning (ML) and Deep\nLearning (DL). These methods have been signific antly improved since their inceptions during the 50’s\nand over the last five years have become indispensable for processing and extracting inform ation rapidly\nfrom large data sets.\n\nThe presentation will address the trend in data transformation based on contemporary digital\ntechnologies a nd analytics that affects oil and gas industry\, as well as other associat ed ocean industries.\nThe presentation will also cover how to extract\, ex plore and analyze large data sets efficiently to infer\nvaluable informati on and deeper knowledge of our oceans.\n\nSpeaker(s): Igor Prislin\, PhD\ , \n\nAgenda: \n6-7pm: Networking and free pizza/beverages\n\n7-8pm: Speak er and Q&A\n\nBldg: party room\, Round Table Pizza \, 3250 Governor Dr\, S an Diego\, California\, United States\, 92122 LOCATION:Bldg: party room\, Round Table Pizza \, 3250 Governor Dr\, San Die go\, California\, United States\, 92122 ORGANIZER:karen.dubey@gmail.com SEQUENCE:4 SUMMARY:Data Paradigm Shift in Ocean Industries\, presented by Igor Prislin \, PhD\, BMT North America URL;VALUE=URI:https://events.vtools.ieee.org/m/198998 X-ALT-DESC:Description: <br /><p>Speaker Bio<br />Igor Prislin\, PhD www.bm t.org</p>\n<div>\n<p>Dr Prislin has earned his PhD in Ocean Engineering at Texas A&amp\;M and MS in Naval Architecture at University of Zagreb\, Cro atia. His professional interests have been oriented towards oil and gas en ergy sector.&nbsp\;</p>\n<p>His experience ranges from teaching\, hydrodyn amic model testing\, numerical simulations\, field data analyses\, and mor e recently data analytics\, all related to ships and offshore platforms.</ p>\n<p>&nbsp\;</p>\n</div>\n<p>Abstract<br />In today&rsquo\;s technical a nd digital revolutions\, ocean industries are more than ever affected by t he data<br />transformation paradigm shift. A paradigm shift can be define d as a fundamental change in the basic<br />concepts and experimental prac tices of scientific and practical disciplines. The data transformation<br />paradigm shift occurring today\, is associated with moving from a collec tion of relatively large volumes of<br />data that\, in the past\, have ra rely been used in day to day operations\, to the present day case of<br /> contemporary big data analytics that aim not only to merge historical data with even larger volumes and<br />varieties of near real-time data\, but also to analyze all these data sets to uncover patterns and<br />connectio ns that might otherwise be invisible.</p>\n<p><br />Data analytics resides on Artificial Intelligence (AI) and its subclasses Machine Learning (ML) and Deep<br />Learning (DL). These methods have been significantly improve d since their inceptions during the 50&rsquo\;s<br />and over the last fiv e years have become indispensable for processing and extracting informatio n rapidly<br />from large data sets.</p>\n<p><br />The presentation will a ddress the trend in data transformation based on contemporary digital<br / >technologies and analytics that affects oil and gas industry\, as well as other associated ocean industries.<br />The presentation will also cover how to extract\, explore and analyze large data sets efficiently to infer< br />valuable information and deeper knowledge of our oceans.</p><br /><br />Agenda: <br /><p>6-7pm: Networking and free pizza/beverages</p>\n<p>7-8 pm: Speaker and Q&amp\;A</p> END:VEVENT END:VCALENDAR