Favorite In today’s digital landscape, the demand for audio and video content is skyrocketing. Organizations are increasingly using media to engage with their audiences in innovative ways. From product documentation in video format to podcasts replacing traditional blog posts, content creators are exploring diverse channels to reach a wider audience.

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Shared by AWS Machine Learning July 30, 2024

Favorite Amazon Q Business is a fully managed, permission aware generative artificial intelligence (AI)-powered assistant built with enterprise grade security and privacy features. Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on your enterprise data. The native data source connectors

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Shared by AWS Machine Learning July 30, 2024

Favorite Effective customer support and project management are critical aspects of providing effective customer relationship management. Atlassian Jira, a platform for issue tracking and project management functions for software projects, has become an indispensable part of many organizations’ workflows to ensure success of the customer and the product. However, extracting

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Shared by AWS Machine Learning July 29, 2024

Favorite Amazon Q Business is the generative artificial intelligence (AI) assistant that empowers employees with your company’s knowledge and data. Microsoft SharePoint Online is used by many organizations as a secure place to store, organize, share, and access their internal data. With generative AI, employees can get answers to their

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Shared by AWS Machine Learning July 29, 2024

Favorite Amazon Forecast is a fully managed service that uses statistical and machine learning (ML) algorithms to deliver highly accurate time series forecasts. Launched in August 2019, Forecast predates Amazon SageMaker Canvas, a popular low-code no-code AWS tool for building, customizing, and deploying ML models, including time series forecasting models.

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Shared by AWS Machine Learning July 29, 2024

Favorite This post is co-authored by Daryl Martis and Darvish Shadravan from Salesforce. This is the fourth post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. In Part 1 and Part 2, we show how Salesforce Data Cloud and Einstein Studio integration with SageMaker allows

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Shared by AWS Machine Learning July 29, 2024

Favorite Implementing hardware resiliency in your training infrastructure is crucial to mitigating risks and enabling uninterrupted model training. By implementing features such as proactive health monitoring and automated recovery mechanisms, organizations can create a fault-tolerant environment capable of handling hardware failures or other issues without compromising the integrity of the

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Shared by AWS Machine Learning July 25, 2024

Favorite As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging. Conversational AI agents also encompass multiple layers, from Retrieval Augmented

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Shared by AWS Machine Learning July 25, 2024

Favorite Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your

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Shared by AWS Machine Learning July 25, 2024

Favorite Today, we are excited to announce a new capability in Amazon SageMaker inference that can help you reduce the time it takes for your generative artificial intelligence (AI) models to scale automatically. You can now use sub-minute metrics and significantly reduce overall scaling latency for generative AI models. With

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Shared by AWS Machine Learning July 25, 2024