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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

Amazon Q Business Insights provides administrators with details about the utilization and effectiveness of their AI-powered applications. By monitoring utilization metrics, organizations can quantify the actual productivity gains achieved with Amazon Q Business.

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What is business intelligence? Transforming data into business insights

CIO

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. This gets to the heart of the question of who business intelligence is for.

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How Much Should I Be Spending On Observability?

Honeycomb

Get your free copy of Charity’s Cost Crisis in Metrics Tooling whitepaper. Their observability bill is going up 10-20x as fast as their business is growing! This alone explains so much of the exponential cost growth so many businesses have experienced over the past several years. which has made them less differentiated.

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Business Analytics tools & use cases

Apiumhub

More data is available to businesses than ever, which is why business analytics is a growing field. Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. What is Business Analytics?

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Arena raises money from Peter Thiel and David Petraeus for its decision-making AI

TechCrunch

It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. O9 Solutions, which applies analytics to the supply chain and inventory planning and management, recently raised $295 million in a funding round that values the company at $2.7 Unsupervised, Pecan.ai Unsupervised, Pecan.ai

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics. The evaluation metric is the F1 score that measures the word-to-word matching of the extracted content between the generated output and the ground truth answer.

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Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

AWS Machine Learning - AI

It requires sophisticated visual reasoning to interpret data visualizations and answer numerical and analytical questions about the presented information. The models were evaluated using the SQuAD F1 score metric , which measures the word-level overlap between generated responses and reference answers. We fine-tuned both Meta Llama 3.2