Remove Business Intelligence Remove Data Warehouse Remove Natural Language Processing
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Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning Blog

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

AWS 135
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. Ensure that data is clean, consistent, and up-to-date.

Analytics 203
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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning Blog

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. In addition, the generative business intelligence (BI) capabilities of QuickSight allow you to ask questions about customer feedback using natural language, without the need to write SQL queries or learn a BI tool.

AWS 127
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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence.

AI 88
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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Journey to AI blog

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This approach would center on a “self-service” model, empowering users to source and share key data. To further add value, the team brought Cognos Analytics end-user training in-house.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

This allows users to accomplish different Natural Language Processing (NLP) functional tasks and take advantage of IBM vetted pre-trained open-source foundation models. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today. To bridge the tuning gap, watsonx.ai

AI 74
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Self-Service BI: A Case of Trust Working Both Ways?

Alation

In the breakneck world of data, which I have been privy to since the mid 1990s, business intelligence remains one of the most enduring terms. The writer Richard Millar Devens used “business intelligence” to describe how a banker had the foresight to gather and act on information thus getting the jump on his competition.