Remove 2020 Remove AI Remove Natural Language Processing
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Why You Need RAG to Stay Relevant as a Data Scientist

KDnuggets

By Nate Rosidi , KDnuggets Market Trends & SQL Content Specialist on June 11, 2025 in Language Models Image by Author | Canva If you work in a data-related field, you should update yourself regularly. Like this, AI has changed data science from A to Z. Patrick Lewis first introduced RAG in this academic article first in 2020.

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Applications of Machine Learning and AI in Insurance in 2023

Analytics Vidhya

Introduction Source: App Inventiv Like other industries, 2020 (the COVID-19 pandemic) was a rough patch for the insurance industry. Here are some of the numbers that support this claim: The Willis Towers […] The post Applications of Machine Learning and AI in Insurance in 2023 appeared first on Analytics Vidhya.

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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications. What is Generative AI?

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. AI-Powered Big Data Technology.

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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

Flipboard

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

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NLP Year in Review — 2019

KDnuggets

comments By Elvis Saravia, Affective Computing & NLP Researcher 2019 was an impressive year for the field of natural language processing (NLP). In this blog Read more »

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How Qualtrics built Socrates: An AI platform powered by Amazon SageMaker and Amazon Bedrock

Flipboard

Qualtrics harnesses the power of generative AI, cutting-edge machine learning (ML), and the latest in natural language processing (NLP) to provide new purpose-built capabilities that are precision-engineered for experience management (XM). Qualtrics refers to it internally as the Socrates platform.

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