Remove Data Governance Remove Forecasting Remove Predictive Analytics
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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

For example, at a company providing manufacturing technology services, the priority was predicting sales opportunities, while at a company that designs and manufactures automatic test equipment (ATE), it was developing a platform for equipment production automation that relied heavily on forecasting. And guess what?

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Oracle Advances its AI-Enabled Supply Chain Management Suite

David Menninger's Analyst Perspectives

For example, in demand planning, predictive analytics can be applied to use historical sales data, market trends and seasonal patterns to predict future demand with greater accuracy and reduced bias. In line with our concept of the data pantry , the systems can unify data from disparate sources.

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. Predictive modeling can help companies optimize energy consumption, while AI-driven insights can identify supply chain inefficiencies that lead to excessive waste.

IT 59
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How Data Governance Supports Analytics

Alation

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

Building this single source of truth was the only way the airport would have the capacity to augment the data with a digital twin, IoT sensor data, and predictive analytics, he says. It’s a big win for us — being able to look at all of our data in one repository and build machine learning models off of that,” he says.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

Analytics 111
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DataRobot and Snowflake Healthcare Campaign

DataRobot

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Public sector data sharing.