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

CIO Business Intelligence

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. And guess what?

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

Descriptive analytics: Where most organizations begin and linger Descriptive analytics answers the question: What happened? These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

The value of Big Data is not solely dependent on the volume of data available, but on how it is utilized. The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.”

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Data trust and the evolution of enterprise analytics in the age of AI

CIO Business Intelligence

This capability has become increasingly more critical as organizations incorporate more unstructured data into their data warehouses. The quantitative models that make ML-enhanced analytics possible analyze business issues through statistical, mathematical and computational techniques.