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Time-Series Forecasting Using Attention Mechanism

Analytics Vidhya

Introduction Time-series forecasting plays a crucial role in various domains, including finance, weather prediction, stock market analysis, and resource planning. In recent years, attention mechanisms have emerged as a powerful tool for improving the performance of time-series forecasting models.

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Learning Time Series Analysis & Modern Statistical Models

Analytics Vidhya

Introduction Statistical models are significant for understanding and predicting complex data. A viable area for statistical modeling is time-series analysis. Time series data are collected over time and can be found in various fields such as finance, economics, and technology.

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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Robust datasets that hold a large and diverse set of data from which to glean inferences create more useful and accurate forecasts.

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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. Finance is not physics. Perhaps finance is harder than physics. All financial models are wrong.

Modeling 207
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Accelerating AI for financial services: Innovation at scale with NVIDIA and Microsoft

CIO Business Intelligence

In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.

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Predictive Models Are Nothing Without Trust

Cloudera

Ryan Garnett, Senior Manager Business Solutions of Halifax International Airport Authority, joined The AI Forecast to share how the airport revamped its approach to data, creating a predictions engine that drives operational efficiency and improved customer experience. Theres so much more we can use with this model.

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Benefits of Using Data Analytics in Equipment Financing

Smart Data Collective

Securing financing is a huge example. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. One of the most important benefits of big data involves getting financing for new equipment. The Growing Importance of Using Big Data to Finance New Equipment.

Finance 128