Remove Forecasting Remove Predictive Analytics Remove Uncertainty
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Predictive Analytics Improves Trading Decisions as Euro Rebounds

Smart Data Collective

Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. in 2022 and 1.5%

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Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

Elizabeth Svoboda explains how biosensors and predictive analytics are being applied by political campaigns and what they mean for the future of free and fair elections. Forecasting uncertainty at Airbnb. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.

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Promising Benefits of Predictive Analytics in Asset Management

Smart Data Collective

One of the biggest is that more financial institutions are using predictive analytics tools to assist with asset management. Predictive Asset Analytics, Riskalyze and Altruist are some of the tools that use predictive analytics to improve asset management for both individual and institutional investors.

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Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services.

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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. There are a number of huge benefits of using data analytics to identify seasonal trends.

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AES enlists AI to boost its sustainable energy business

CIO Business Intelligence

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. million in its first year, contributed a $5.5

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Why HR professionals struggle with big data

CIO Business Intelligence

This is due, on the one hand, to the uncertainty associated with handling confidential, sensitive data and, on the other hand, to a number of structural problems. Most use master data to make daily processes more efficient and to optimize the use of existing resources.