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Using John Snow Labs’ Medical Large Language Models on Azure Fabric

John Snow Labs

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today. To bridge the tuning gap, watsonx.ai

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How to choose the best AI platform

IBM Journey to AI blog

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. trillion in value.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning Blog

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

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Data Intelligence empowers informed decisions

Pickl AI

Implementing robust data validation processes. Clinical Research Acceleration Speeds up research processes and drug development Integrating diverse data sources. Implementing interoperable data platforms. Implementing transparent data privacy policies. 12,00000 Programming (e.g.,

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A brief history of Data Engineering: From IDS to Real-Time streaming

Artificial Corner

This period also saw the development of the first data warehouses, large storage repositories that held data from different sources in a consistent format. The concept of data warehousing was introduced by Bill Inmon, often referred to as the “father of data warehousing.”