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

Cloudera

The following sections explain in detail the five major activities involved in managing and operating a custom open source distribution: Development of custom platform 1. Apache Impala, Apache Spark) but also all foundational services needed for storage (e.g., Apache Ozone), scheduling / orchestration (e.g.,

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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. The reliability of the Amazon Bedrock infrastructure is particularly valuable for use in performing evaluations across development and production.

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Dynamic Pricing Explained: Use in Revenue Management and Pricing Optimization

Altexsoft

How would you price tickets not only to cover expenses for each route but also to achieve a certain level of revenue to be able to grow and develop your business? According to Yigit Kocak of Prisync , the three most common of them are cost-based, competitor-based , and demand-based methods. Pricing automation.

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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.