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What is AI Hyperpersonalization? Advantages, Case Studies, & Ethical Concerns

Unite.AI

Real-time customer data is integral in hyperpersonalization as AI uses this information to learn behaviors, predict user actions, and cater to their needs and preferences. This is also a critical differentiator between hyperpersonalization and personalization – the depth and timing of the data used.

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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

Akeneo is the product experience (PX) company and global leader in Product Information Management (PIM). How is AI transforming product information management (PIM) beyond just centralizing data? Akeneo is described as the “worlds first intelligent product cloud”what sets it apart from traditional PIM solutions?

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Using Generative AI for Data Analysis and Visualization

ODSC - Open Data Science

From uncovering hidden patterns to providing actionable recommendations, generative AI’s proficiency in data analytics heralds a new era where innovation spans the spectrum from artistic expression to informed business strategies. So let’s take a brief look at some examples of how generative AI can be used for data analytics.

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This AI Paper by Narrative BI Introduces a Hybrid Approach to Business Data Analysis with LLMs and Rule-Based Systems

Marktechpost

Business data analysis is a field that focuses on extracting actionable insights from extensive datasets, crucial for informed decision-making and maintaining a competitive edge. Traditional rule-based systems, while precise, need help with the complexity and dynamism of modern business data.

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How to Use Speech AI for Healthcare Market Research

AssemblyAI

4 Ways to Use Speech AI for Healthcare Market Research Speech AI helps researchers gain deeper insights, improve the accuracy of their data, and accelerate the time from research to actionable results. This analysis helps researchers understand how opinions or knowledge about certain health conditions or treatments evolve.

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Revolutionizing business processes with Amazon Bedrock and Appian’s generative AI skills

AWS Machine Learning Blog

Using robust infrastructure and advanced language models, these AI-driven tools enhance decision-making by providing valuable insights, improving operational efficiency by automating routine tasks, and helping with data privacy through built-in detection and management of sensitive information.

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HybridRAG: A Hybrid AI System Formed by Integrating Knowledge Graphs and Vector Retrieval Augmented Generation Outperforming both Individually

Marktechpost

Financial data analysis plays a critical role in the decision-making processes of analysts and investors. The ability to extract relevant insights from unstructured text, such as earnings call transcripts and financial reports, is essential for making informed decisions that can impact market predictions and investment strategies.

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