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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 135
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How IBM sports and entertainment partnerships transform an industry—and win an Emmy

IBM Big Data Hub

At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML).

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Rebranding IT for the modernized IT mission

CIO Business Intelligence

That definition was well ahead of its time and forecasted the current era’s machine learning and generative AI capabilities. It broadcasts to the rest of the company that there’s a new sheriff in town and that we are all about the business and not just focused on technology for the sake of technology.”

IT 135
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Predictive analytics: opportunities and limits for the future of finance

Jedox

What Predictive Analytics Cannot Forecast. From the opening of Lloyd’s Coffee House in 1686, financial services professionals have been attempting to forecast what’s going to happen next. Whether or not the results of such forecasts beat random chance is highly dependent on the subject matter expert’s skills.

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New CIO appointments in India, 2022

CIO Business Intelligence

He has assisted the top management in planning IT strategies and leveraging technologies for rationalizing manpower, enhancing organizational productivity, and improving the efficiency of operations. He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations.

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Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

But where do you start and how do you know which ALM strategy is right for you? The maintenance strategies that companies use most frequently are broken down into four stages of the asset lifecycle. A sound ALM strategy ensures compliance no matter where data is being stored. What is asset lifecycle management (ALM)?

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The Incredibly Important Role Of Big Data In Academia

Smart Data Collective

Thus, at present, the development of Big Data technology in education is described through many approaches and models, which prevents the systematic accumulation of Big Data for the development of the education system. Student Model Based on Big Data. Training strategy. Big Data Management Process Diagram in Education.

Big Data 100