Remove Data Lakes Remove Data Warehouse Remove Natural Language Processing
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Precise Software Solutions implements ML as a service on AWS to save time and money for federal agency

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Helping government agencies adopt AI and ML technologies Precise works closely with AWS to offer end-to-end cloud services such as enterprise cloud strategy, infrastructure design, cloud-native application development, modern data warehouses and data lakes, AI and ML, cloud migration, and operational support.

AWS 65
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data. Ensure that data is clean, consistent, and up-to-date.

Analytics 203
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Elevate marketing intelligence with Amazon Bedrock and LLMs for content creation, sentiment analysis, and campaign performance evaluation

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client('bedrock-runtime') def analyze_sentiment(text, model_id= {selected_model}): # Construct the prompt prompt = f"""You are an expert AI sentiment analyst with advanced natural language processing capabilities. He is focused on big data, data lakes, streaming and batch analytics services, and generative AI technologies.

AWS 100
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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning Blog

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. In the first step, an AWS Lambda function reads and validates the file, and extracts the raw data. The raw data is processed by an LLM using a preconfigured user prompt. The Step Functions workflow starts.

AWS 130
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From concept to reality: Navigating the Journey of RAG from proof of concept to production

AWS Machine Learning Blog

Many organizations store their data in structured formats within data warehouses and data lakes. Amazon Bedrock Knowledge Bases offers a feature that lets you connect your RAG workflow to structured data stores. In her free time, she likes to go for long runs along the beach.

AWS 99
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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence.

AI 88
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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

A foundation model is built on a neural network model architecture to process information much like the human brain does. studio a suite of language and code foundation models , each with a geology-themed code name, that can be customized for a range of enterprise tasks. All watsonx.ai

AI 70