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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

Apache Impala, Apache Spark) but also all foundational services needed for storage (e.g., However, both of these options are associated with substantial cost and risk , as organizations underestimate the complexity and the necessary expertise required to not only build but also operate a platform for advanced analytics.

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Maritime Chartering Software: Main Features and Integrations

Altexsoft

For example, you are a US-based oil company that wants to export crude oil to Europe. Today, maritime transportation evolved into a highly complex industry which is the backbone of international trade, carrying up to 90 percent of the traded goods. Ship chartering is one of the most common types of interaction in the world of sea transport.

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Deploy foundation models with Amazon SageMaker, iterate and monitor with TruEra

AWS Machine Learning - AI

We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps. These foundation models perform well with generative tasks, from crafting text and summaries, answering questions, to producing images and videos.

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Dynamic Pricing Explained: Use in Revenue Management and Pricing Optimization

Altexsoft

According to Yigit Kocak of Prisync , the three most common of them are cost-based, competitor-based , and demand-based methods. Cost-based pricing “ adjusts prices dynamically according to business costs and keeps profit margins on a certain level.”. Would you consider fixed costs, competitor prices, or both?

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Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine

AWS Machine Learning - AI

In this post, we demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in SageMaker JumpStart using a simple financial domain use case. The LLM generated text, and the IR system retrieves relevant information from a knowledge base.