Forecasting Modeling Optimization 
Analytics Vidhya
JUNE 21, 2023
Introduction Time-series forecasting plays a crucial role in various domains, including finance, weather prediction, stock market analysis, and resource planning. Accurate predictions can help businesses make informed decisions, optimize processes, and gain a competitive edge.
CIO Business Intelligence
DECEMBER 18, 2024
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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CIO Business Intelligence
NOVEMBER 27, 2024
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
Dataiku
OCTOBER 4, 2021
Using RNNs & DeepAR Models to Find Out. Time series forecasting use cases are certainly the most common time series use cases, as they can be found in all types of industries and in various contexts.
Advertiser: ZoomInfo
Every sales forecasting model has a different strength and predictability method. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? It’s recommended to test out which one is best for your team. Sunny skies (and success) are just ahead!
CIO Business Intelligence
MARCH 22, 2022
Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.
CIO Business Intelligence
FEBRUARY 6, 2025
The hype around large language models (LLMs) is undeniable. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. In retail, they can personalize recommendations and optimize marketing campaigns. This article reflects some of what Ive learned. Theyre impressive, no doubt.
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data.
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