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Generative AI and Its Role in Innovation for Telecom Services

RandomTrees

Solution: Generative AI-Driven Customer Insights In the project, Random Trees, a Generative AI algorithm was created as part of a suite of models for data mining the patterns from patterns in data collections that were too large for traditional models to easily extract insights from.

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Data Mining vs Machine Learning. Here’s the Difference

ProjectPro

Data is the New Fuel. We all know this , so you might have heard terms like Artificial Intelligence (AI), Machine Learning, Data Mining, Neural Networks, etc. Oh wait, how can we forget Data Science? We all have heard of Data Scientist: The Sexiest Job of the 21st century. What is Data Mining?

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What is Data Transformation?

Grouparoo

This is where data transformation can come to the rescue. What is Data Transformation Simply speaking, the data transformation definition is the process of converting data from diverse sources into a standard format that supports its analysis.

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Top 30 Data Scientist Skills to Master in 2024

Knowledge Hut

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

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Business Intelligence vs Artificial Intelligence-Battle of the Brains

ProjectPro

Category Business Intelligence (BI) Artificial Intelligence (AI) Definition A set of processes, architectures, and technologies that convert raw data into meaningful and useful information for business analysis purposes. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems.

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AI vs. Data Science: A Complete Guide

Edureka

What is Data Science? Data Science is an applied science that deals with the process of obtaining valuable information from structured and unstructured data. They use various tools, techniques, and methodologies borrowed from statistics, mathematics computer science to analyze large amounts of data.

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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

With more than 150 petabytes of data, approximately 3.5 billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

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