Remove Business Intelligence Remove ETL Remove Explainability
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Ivo Everts, Databricks: Enhancing open-source AI and improving data governance

AI News

“Upon release, DBRX outperformed all other leading open models on standard benchmarks and has up to 2x faster inference than models like Llama2-70B,” Everts explains. “It ” The company has introduced Databricks AI/BI , a new business intelligence product that leverages generative AI to enhance data exploration and visualisation.

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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. The concepts will be explained. This adds an additional ETL step, making the data even more stale. It was Datawarehouse.

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A beginner tale of Data Science

Becoming Human

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science.

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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning Blog

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

Using Amazon QuickSight for anomaly detection Amazon QuickSight is a fast, cloud-powered, business intelligence service that delivers insights to everyone in the organization. To use this feature, you can write rules or analyzers and then turn on anomaly detection in AWS Glue ETL. To learn more, see the documentation.

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Top Data Analytics Trends Shaping 2025

Pickl AI

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Explain the difference between SQL’s SELECT and SELECT DISTINCT statements. Explain the difference between a bar chart and a histogram. Explain the concept of correlation. Explain the difference between supervised and unsupervised learning. Explain the concept of feature selection in machine learning.