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Accelerating Artificial Intelligence with Business Analysis

Business Analysts

by Business Analysis, Artificial intelligence (AI) is rapidly transforming the business landscape by enabling organizations to leverage data insights and automate routine tasks. Data analysis and modelling : AI projects require large amounts of data to train machine learning models.

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Chat GPT as a tool for business analysis

Analysts Corner

The use of language models in Artificial Intelligence can leverage the productivity of Business Analysis. AI : The BABOK Guide defines various tasks and concepts related to business analysis, including requirements elicitation and analysis, process and data modeling, and stakeholder communication and management.

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Tackling Bias in AI Translation: A Data Perspective

Smart Data Collective

The world of artificial intelligence (AI) is constantly changing, and we must be vigilant about the issue of bias in AI. Enabling external scrutiny requires developers’ accurate documentation of the training data, model architecture, and evaluation methodologies.

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How does the Artificial Intelligence revolution impact IT Business Analysts?

Analysts Corner

Artificial Intelligence development comes to the stage where non-technical people can use it in their everyday and professional life. So these days, you probably want to know how Artificial Intelligence (AI) can affect the work of an IT Business Analyst. What is AI?

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Unstructured Data Analytics — A Complete Guide

Astera

Unstructured data do not have a pre-defined schema, so it cannot be stored in a traditional database until converted into a structured format. But unstructured data is no longer dark data, unavailable for analysis. Unstructured data is qualitative and more categorical in nature. are available in an unstructured format.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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How to Run Successful Predictive Analytics Project for your Business

Marutitech

To make your job easier, create a document that specifies your project’s inputs and deliverables, and then double-check your resource and format criteria related to the description of your predictive analytics project. Overfitting your data refers to creating a complicated data model that fits your limited set of data.