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TANKER LOGISTICS

BIG DATA FOR BIG OIL ing vast caches of data) to solve problems with a timeframe

Owner’s choices for routing tramp ships (in anticipation of extending out over weeks and perhaps three months. One cargo buildups), rather than automating brokerage, provide example mentioned was generating returns, and managing a hint at the potency of Big Data and Machine Learning, in risk/reward metrics, through better chartering decisions on the hands of serious people. At the June, 2018 Marine Money routing LR2 vessels (tankers of 100,000 to 120,000 DWT conference, ex Coastie and now self-described “Quant”, Dr. tons usually deployed in crude oil trades) “… to the East or

Scott Borgerson, founder of information guru CargoMetrics West of Suez.”

Technologies, shared the podium with his client, Mr. Soren

Meyer, Chief Strategy Of