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SAP forecasts clarity in the cloud

CIO Business Intelligence

We offer high-quality service-level agreements, high system availability, and robust cybersecurity measures. In my opinion, it makes a lot of sense to entrust this SAP basic operation to us. Other providers do the same, but users must buy everything end-to-end from one provider. We’re more flexible and open.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

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OpenAI Prepares for Ethical and Responsible AI

Analytics Vidhya

This comprehensive strategy mainly aims to measure and forecast potential risks associated with AI development. OpenAI, the renowned artificial intelligence research organization, has recently announced the adoption of its new preparedness framework.

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Error Metrics: How to Evaluate Your Forecasts

Jedox

When considering the performance of any forecasting model, the prediction values it produces must be evaluated. An error metric is a way to quantify the performance of a model and provides a way for the forecaster to quantitatively compare different models 1. Where y’ is forecasted value and y is the true value.

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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

As part of the results, we show how AWS Glue Data Quality provides information about the runtime of extract, transform, and load (ETL) jobs, the resources measured in terms of data processing units (DPUs), and how you can track the cost of running AWS Glue Data Quality for ETL pipelines by defining custom cost reporting in AWS Cost Explorer.

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Getting Strategic: Incorporating Long Range Forecasts into your Tax Reporting Toolkit

Jet Global

We’ve considered challenges and solutions for tax forecasting in the short-term. Join us to understand what government measures we could expect, and how scenario planning and forecasting can support you in translating these legislative changes into potential commercial outcomes for your business. Register Now.

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Forecasting Solar Radiation using DataRobot to Optimize Power Generation

DataRobot Blog

One way to determine if supply can meet demand is to forecast how much solar power can be generated in advance. Forecasting how much solar power will be generated is directly dependent on the availability of solar radiation or sunlight in layman terms. Courtesy: University of Oregon. Courtesy: NSRDB.