AI

Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch | Amazon Web Services

Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch | Amazon Web Services

This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker. A multi-account strategy is essential not only for improving governance but also for enhancing security and control over the resources that support your organization’s business. This approach enables various teams within your organization to experiment, innovate, and integrate more rapidly while keeping the production environment secure and available for your customers. However, because multiple teams might use your ML…
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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline | Amazon Web Services

Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline | Amazon Web Services

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Batch inference in Amazon Bedrock efficiently processes large volumes of data using foundation models (FMs) when real-time results aren’t necessary. It’s ideal for workloads that aren’t latency sensitive, such as obtaining embeddings, entity extraction, FM-as-judge evaluations, and text categorization and summarization for business…
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Automate document processing with Amazon Bedrock Prompt Flows (preview) | Amazon Web Services

Automate document processing with Amazon Bedrock Prompt Flows (preview) | Amazon Web Services

Enterprises in industries like manufacturing, finance, and healthcare are inundated with a constant flow of documents—from financial reports and contracts to patient records and supply chain documents. Historically, processing and extracting insights from these unstructured data sources has been a manual, time-consuming, and error-prone task. However, the rise of intelligent document processing (IDP), which uses the power of artificial intelligence and machine learning (AI/ML) to automate the extraction, classification, and analysis of data from various document types is transforming the game. For manufacturers, this means streamlining processes like purchase order management, invoice processing, and supply chain documentation. Financial services firms…
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Build a video insights and summarization engine using generative AI with Amazon Bedrock | Amazon Web Services

Build a video insights and summarization engine using generative AI with Amazon Bedrock | Amazon Web Services

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. These meetings often involve exchanging information and discussing actions that one or more parties must take after the session. The traditional way to make sure information and actions aren’t forgotten is to take notes during the session; a manual and tedious process that can be error-prone, particularly in a high-activity or high-pressure scenario. Furthermore, these notes are usually personal and not stored in a central location, which is a lost opportunity for businesses to learn what…
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Glia Kicks Off Interact 2024 with Powerful AI Innovation

New Responsible AI functionality gives effortless experiences for customers, agents and managers Glia, the leader in customer interaction technology, kicked off its annual industry event, Interact 2024, in San Antonio, Texas at La Cantera Resort & Spa. The conference brings together nearly 500 industry leaders and experts to shape the future of customer experience with Unified Interaction Management (UIM). Today at Interact, Glia launched additional AI tools to help customers, agents and managers, including a new suite of capabilities called AI Analysts. Built natively for the generative AI age, AI Analysts offer a new way for institutions to view contact center performance management;…
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