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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning Blog

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. For a multiclass classification problem such as support case root cause categorization, this challenge compounds many fold.

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The Transformative Impact of AI on M&A Dealmaking

Unite.AI

The high stakes challenges of M&A Dealmakers are required to manage information and data of multiple stakeholders in high pressure, time sensitive environments. The synergy between AI and human expertise is crucial for achieving balanced and informed decision-making. Dealmakers want to use AI tools in the M&A process.

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Understanding Distributed Ledger Technology

Analytics Vidhya

Introduction A ledger is an accounting record that lists debits and credits for the categorized and condensed data from the journals. The information needed to create financial statements is included in the ledger. […]. This article was published as a part of the Data Science Blogathon.

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Top 7 meeting intelligence platforms in 2025

AssemblyAI

The platform is great for how it structures meeting content—automatically categorizing discussions, flagging action items, and making sure nothing falls through the cracks. It not only captures every word but also makes that information instantly retrievable through its AI-powered chat interface. Key differentiator : Fireflies.ai

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Utilizing AI to Predict and Prevent Internet Outages

Unite.AI

AI can forecast demands and usage to notice potential clients through historical data and customer demographic information. This instant flow of information may also help reduce staff workload and improve problem-resolution processes. It provides this valuable information to the team, enabling them to respond swiftly.

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Can CatBoost with Cross-Validation Handle Student Engagement Data with Ease?

Towards AI

This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. CatBoost is a powerful, gradient-boosting algorithm designed to handle categorical data effectively. CatBoost automatically transforms them, making it ideal for datasets with many categorical variables.

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How to Create a Dot Plot in Python?

Analytics Vidhya

Introduction Data visualization is an essential aspect of data analysis, as it allows us to understand and interpret complex information more easily. One popular type of visualization is the dot plot, which effectively displays categorical data and numerical values.

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