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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 207
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Taking the risk out of the semiconductor supply chain

CIO Business Intelligence

Addressing semiconductor supply chain risks Even before the most recent supply chain challenges, political leaders around the world have been taking a close look at the current semiconductor supply chain model. Some of that risk is being addressed at national and regional levels, such as the U.S. CHIPS Act and the EU Chips Act.

Risk 96
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Accelerating VMware’s growth

CIO Business Intelligence

Unlocking VMware’s potential Broadcom’s business model and its decades of focus on R&D combined with VMware’s core technology and superb talent will be the catalysts that will enable VMware to capture the growth opportunity in front of it. He has held this position since March 2006. To learn more, visit Broadcom.

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Coding for the Future of U.S. National Defense

CIO Business Intelligence

VMware Tanzu Labs partners with organizations worldwide to accelerate the delivery of software and modernize legacy apps, while reducing operating costs and risk working side by side with customers to build capabilities, transfer skills and knowledge, and instill a process that shows immediate and lasting impact. government.

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How Nvidia became a trillion-dollar company

CIO Business Intelligence

Along the way, other uses for the parallel-processing capabilities of Nvidia’s graphical processing units (GPUs) emerged, solving problems with a similar matrix arithmetic structure to 3D-graphics modelling. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars. Adjustments for effects: holiday, seasonality, and day-of-week effects.

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At a loss for data project ROI? Evaluate it like a product

CIO Business Intelligence

In 2006, British mathematician Clive Humby proclaimed, “Data is the new oil.”. Data is what economists would call a non-rival risk, non-depleting progenitor of assets,” Laney says. It could be a dataset, an ML model, or a report. Humby had bona fides to make that claim. Data doesn’t deplete when you use it. Collibra. “At

ROI 116