ML 16234 Architecture

Build your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions

Foreigners and expats living outside of their home country deal with a large number of emails in various languages daily. They often find themselves struggling with language barriers when it comes to setting up reminders for events like business gatherings and customer meetings. To solve this problem, this post shows you how to apply AWS …

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Understanding BigQuery data canvas: how to easily transform data into insights with AI

BigQuery data canvas, a Gemini in BigQuery feature, is a revolutionary data analytics tool that simplifies the entire data analysis journey — from data discovery and preparation to analysis, visualization, and collaboration — all in one place, all within BigQuery. BigQuery data canvas leverages natural language processing to let you can ask questions about your …

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Improve productivity when processing scanned PDFs using Amazon Q Business

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and extract insights directly from the content in digital as well as scanned PDF documents in your enterprise data sources without needing to extract the text first. Customers across industries such as finance, insurance, healthcare life sciences, and more need …

Announcing AI First Accelerator for startups in the Middle East and Turkey

From paving the way for economic revival and confronting climate change, and from empowering underrepresented entrepreneurs to rethinking healthcare, startups across the Middle East, North Africa (MENA), and Turkey are unlocking opportunities that could profoundly enhance the lives of billions and fuel economic development.  AI has emerged as the sharpest tool for startups spearheading solutions …

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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. These chatbots can be efficiently utilized for handling generic inquiries, freeing up …

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How to evaluate the impact of LLMs on business outcomes

How can you make sure that you are getting the desired results from your large language models (LLMs)? How to pick the model that works best for your use case? Evaluating the output of an LLM is one of the most difficult challenges in working with Generative AI. While these models excel across a wide …

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Industry AI

How Palantir AIP Enables the Unified Namespace Amid geopolitical competition and the rise of Industry AI, the adoption of a Unified Namespace (UNS) is a strategic necessity. American industries — from aerospace to biotechnology — can secure a critical advantage with UNS, enabling manufacturers to leverage the full capabilities of AI and machine learning. This shift from reactive to …

The future of productivity agents with NinjaTech AI and AWS Trainium

This is a guest post by Arash Sadrieh, Tahir Azim, and Tengfui Xue from NinjaTech AI. NinjaTech AI’s mission is to make everyone more productive by taking care of time-consuming complex tasks with fast and affordable artificial intelligence (AI) agents. We recently launched MyNinja.ai, one of the world’s first multi-agent personal AI assistants, to drive …