Publicação de Transportation, Shipping, & Logistics at Amazon

Chris from our team explains how named entities enable business users to get mutli-visual answers to questions of data from #AmazonQ in #QuickSight to confidently understand #data to inform decisions. https://lnkd.in/gT3CMw8z

"Every buyer has in their mind a set of checked boxes they need to check before they make the purchase, and if you don’t check those boxes, they are going to go to a competitor." - Brandon Young Truer words were never spoken. Now let's dive into the science behind uncovering what those check boxes are with Intellivy. Enjoy this amazing session with our own Peter-Paul Maan.  Seller Systems, Data Dive Tools #marketresearch #amazonfba

Scraping Amazon search results and turning them into a structured dataset doesn't need to be as challenging as it sounds 🛒 See how you can extract Amazon data such as reviews, descriptions, and ASINs using Apify's Amazon Product Scraper 👇 🔗 https://apify.it/3TtQiXu

A very fulfilling experience having successfully participating in the MIT-IDSS “Data Science and Machine Learning: Making Data-Driven Decisions “. In this era of data driven decision making in management, this program is highly recommended for those in manufacturing, logistics and HR management.

📢 Exciting News! We are thrilled to announce the general availability of batch inference for Amazon Bedrock, a new feature enabling organizations to process large volumes of data when interacting with foundation models (FMs), particularly addressing a critical need in call center operations and other industries. 🚀 In our latest blog post, we provide a comprehensive guide on implementing batch inference for call center transcript summarization on Amazon Bedrock. Learn how this scalable solution can transform large-scale call center operations and extract valuable insights from customer interactions. Read the blog post for a detailed, step-by-step guide on leveraging batch inference for call center efficiency: [Enhance Call Center Efficiency using Batch Inference for Transcript Summarization with Amazon Bedrock](https://ift.tt/3k857XO) Discover how to optimize your batch inference workflows and maximize the value of your data across diverse use cases and industries. Uncover best practices and solution overviews for utilizing batch inference for processing large volumes of data across various domains. Are you ready to enhance your call center operations with batch inference? Explore the possibilities and unlock the full potential of your data with Amazon Bedrock. #ArtificialIntelligence #MachineLearning #CallCenterEfficiency #AmazonBedrock

The easiest way to get clear insight from your Amazon data? Just ask 🍃 Junglytics Assistant. Our AI-powered chat delivers insights into your business *snap* like that. #amazonseller #amazonfba #amazonfbatips #amazonbusiness #amazonadvertising #amazonprivatelabel

Human intervention combined with the power of GenAI tools have allowed our teams to improve the customer experience through contact center engagements. Check out this video below to see how we’re implementing Amazon Bedrock to process calls and obtain post call analytics. #PrincipalEmployee #GenerativeAI #AmazonBedrock #PFG

Struggling to anylize complex technical diagram? Claude 3 models now offer the most sophisticated vision capabilities beating all other models. Here's how to access it: 1. Open Amazon Bedrock Playground and select 'Chat'. 2. Choose any Claude 3 model. 3. Enter a prompt: "𝐴𝑐𝑡 𝑎𝑠 𝑎𝑛 𝑒𝑥𝑝𝑒𝑟𝑖𝑒𝑛𝑐𝑒𝑑 𝑆𝑜𝑙𝑢𝑡𝑖𝑜𝑛𝑠 𝐴𝑟𝑐ℎ𝑖𝑡𝑒𝑐𝑡, 𝑐𝑎𝑟𝑒𝑓𝑢𝑙𝑙𝑦 𝑎𝑛𝑎𝑙𝑦𝑧𝑒 𝑡ℎ𝑒 𝑖𝑚𝑎𝑔𝑒 𝑎𝑛𝑑 𝑎𝑙𝑙 𝑡ℎ𝑒 𝑠𝑒𝑟𝑣𝑖𝑐𝑒𝑠 𝑏𝑒𝑖𝑛𝑔 𝑢𝑠𝑒𝑑, 𝑡ℎ𝑒𝑛 𝑒𝑥𝑝𝑙𝑎𝑖𝑛 𝑡𝑜 𝑚𝑒 𝑠𝑡𝑒𝑝-𝑏𝑦-𝑠𝑡𝑒𝑝 ℎ𝑜𝑤 𝑡ℎ𝑖𝑠 𝑠𝑜𝑙𝑢𝑡𝑖𝑜𝑛 𝑤𝑜𝑟𝑘𝑠 𝑎𝑛𝑑 𝑡ℎ𝑒 𝑑𝑎𝑡𝑎 𝑓𝑙𝑜𝑤." https://lnkd.in/dZNjkrEu