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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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How to Use XGBoost for Time-Series Forecasting?

Analytics Vidhya

Introduction Time-series forecasting is a crucial task in various domains, including finance, sales, and energy demand. Accurate forecasting allows businesses to make informed decisions, optimize resources, and plan for the future effectively. appeared first on Analytics Vidhya.

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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. It is also essential for the effective application of AI using ML for business-focused planning and budgeting and predictive analytics.

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Benefits of Using Data Analytics in Equipment Financing

Smart Data Collective

Data analytics technology has touched on virtually every element of our lives. 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.

Finance 128
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Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Finance teams are drowning in data—but is it actually helping them spend smarter? While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise. Master the balance between analytics and action.

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

CIO Business Intelligence

GenAI is also helping to improve risk assessment via predictive analytics. 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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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

Infor introduced its original AI and machine learning capabilities in 2017 in the form of Coleman, which uses its Infor AI/ML platform built on Amazon’s SageMaker to create predictive and prescriptive analytics. Having a vertical industry focus in its cloud suites adds context for process analytics.

Finance 130