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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/complete/public_html/wp-includes/functions.php on line 6114This article originally published at https:\/\/blogs.oracle.com\/startup\/startup-makes-superforecasting-possible-with-ai<\/a> on December 1, 2020.<\/em><\/p>\n <\/p>\n <\/p>\n Here\u2019s a mathematical problem: The sum of all the individual country GDPs never equals the global GDP. That means forecasting models are flawed from the start, and it’s impacting global supply chain economics in a big way. Entrepreneur Tony Nash found that unacceptable, so he built an AI platform to help businesses \u201cunderstand the sum of everything\u201d through a highly automated, globally data-intensive solution with zero human bias.<\/p>\n <\/p>\n Complete Intelligence<\/a>, Nash\u2019s Houston-based startup, uses global market data and artificial intelligence to help organizations to visualize financial data, make predictions, adjust plans in the context of a global economy, all on the fly. The globally-integrated, cloud-based AI platform helps purchasing, supply chain planning, and revenue teams make smarter cost and revenue decisions. It’s a way on how to make better business decisions.<\/span><\/p>\n <\/p>\n \u201cThe machines are learning, and many times that has meant deviating from traditionally held consensus beliefs and causality models,\u201d said Nash. \u201cCausal beliefs don\u2019t hold up most of the time\u2014it\u2019s human bias that is holding them up\u2014our AI data is reducing errors and getting closer to the truth, closer to the promise of superforecasting.\u201d<\/p>\n <\/p>\n <\/p>\n More than 15 billion data points run through the Complete Intelligence platform daily, making hundreds of millions of calculations. Average business forecasting saas software<\/span> models use 10-12 sector variables. Complete Intelligence, on the other hand, examines variables across 1,400 industry sectors. The robustness gives businesses insights and control they didn\u2019t have before.<\/p>\n <\/p>\n “We’ve seen a big shift in how category managers and planning managers are looking at their supply chains,\u201d said Nash. \u201cCompanies are taking a closer look at the concentration of supply chains by every variable. Our platform helps companies easily visualize the outlook for their supply chain costs, and helps them pivot quickly.”<\/p>\n <\/p>\n <\/p>\n <\/p>\n Australia-based OZ Minerals<\/a>, a publicly-traded company, is a modern mining company focused on copper with mines in Australia and Brazil. OZ says their modern mantra is more than technology, it\u2019s also a mindset: test, learn, innovate. They wanted to better navigate and understand the multi-faceted copper market, where the connectivity between miner, smelter, product maker, and consumer is incredibly complex and dynamic. They turned to Complete Intelligence.<\/p>\n <\/p>\n \u201cI need a firm understanding of both fiscal and monetary policies and foreign exchange rates to understand how commodity prices might react in the future because a depreciating and\/or appreciating currency can impact the trade flows, and often very quickly, which might influence decisions we make,\u201d said Luke McFadyen, Manager of Strategy and Economics at OZ Minerals.<\/p>\n <\/p>\n \u201cOur copper concentrate produced in Australia and Brazil may end up being refined locally or overseas. And then it is turned into a metal, which then may be turned into a wire or rod, and then used in an electric vehicle sold in New York, an air conditioner sold in Johannesburg, or used in the motor of a wind turbine in Denmark,\u201d he explains. \u201cThe copper market is an incredibly complex system.\u201d<\/p>\n <\/p>\n With Complete Intelligence, McFadyen has a new opportunity to test for a bigger-picture understanding and responsiveness. Previously, he updated his models every few months. Now he could do it every 47 minutes if he needed to.<\/p>\n <\/p>\n McFadyen points to the impact of COVID-19 as a \u201cBlack Swan\u201d event that no business forecasting saas software<\/span>\u00a0could have predicted, but is nonetheless impacting currencies, foreign exchanges, and cost curves throughout global copper market and supply chains.<\/p>\n <\/p>\n \u201cIf your model isn\u2019t dynamic and responsive in events like we are experiencing today, then it is not insightful. If it\u2019s not insightful, it\u2019s not influencing and informing decisions,\u201d he said. \u201cComplete Intelligence provides a different insight compared to how the traditional price and foreign exchange models work.\u201d<\/p>\n <\/p>\n McFadyen says early results have reflected reductions in error rates and improved responsiveness.<\/p>\n <\/p>\n <\/p>\n <\/p>\n Complete Intelligence needed a strong technology partner but also one with global expertise in enterprise sales and marketing that could help boost their business. They found it with Oracle for Startups<\/a>.<\/p>\n <\/p>\n \u201cWe have lots of concurrent and parallel processes with very large data volumes,\u201d said Nash. \u201cWe are checking historical data against thousands of variables, anomaly detections, massive calculations processing, and storage. And it\u2019s all optimized with Oracle Cloud.\u201d<\/p>\n <\/p>\n Nash, who migrated off Google Cloud, says Oracle Cloud gives him the confidence that his solution can handle these workloads and data sets without downtime or performance lapses. The partnership also gives him a credible technology that is native to many clients.<\/p>\n <\/p>\n \u201cAs we have potential clients that come to us that are using Oracle, having our software on Oracle Cloud infrastructure will make it easier for us to deploy and scale. A seamless client experience is a critical success factor for us.\u201d<\/p>\n <\/p>\nMassive datasets across 1,400 industry sectors<\/strong><\/h3>\n
Superforecasting brings a modern mindset to an old industry <\/strong><\/h3>\n
Cloud power and partnership<\/strong><\/h3>\n