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Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence

Smart Data Collective

Reading: Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective. Speed, Scale, and Unlikely Insights Standard analytics can reveal what happened or is happening.

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Better together? Why AWS is unifying data analytics and AI services in SageMaker

CIO Business Intelligence

Data warehousing, business intelligence, data analytics, and AI services are all coming together under one roof at Amazon Web Services. It combines SQL analytics, data processing, AI development, data streaming, business intelligence, and search analytics.

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO Business Intelligence

This shift allows for enhanced context learning, prompt augmentation, and self-service data insights through conversational business intelligence tools, as well as detailed analysis via charts. This ensures your organization effectively utilizes data, scales effortlessly, and stays agile and adaptable.

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Data analytics and AI on and off the court in Orlando

CIO Business Intelligence

Back then, we were one of the first to build a company, a webcast, and realizewe had these different systems containing informationabout our business and our fans. We needed to integrate them into a single environment and then use analytics tools to make predictions, generate business intelligence, and automate processes.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. How do you differentiate one solution from the next?

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How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps

KDnuggets

By Vinod Chugani on June 27, 2025 in Data Science Image by Author | ChatGPT Introduction Creating interactive web-based data dashboards in Python is easier than ever when you combine the strengths of Streamlit , Pandas , and Plotly. This tutorial demonstrates a significant shift in how data scientists can share their work.

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Snowflake and Databricks vie for the heart of enterprise AI

CIO Business Intelligence

Snowflake excels in ease of use, security, and structured data analytics at scale, Bradley says, while Databricks is a developer-first environment with strong machine learning an AI tooling and support for multimodal workloads. The next big evolution in generative AI is self-service business intelligence, Bolles adds.

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What is Data Storytelling? The Value of Context and Narrative

This blog acts as a beginner’s guide to what data storytelling means for your company’s business intelligence and data analytics, explains the importance of leveraging it today, and illustrates how Yellowfin’s own set of storytelling tools can enrich your insight reporting efforts.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.