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AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning - AI

Through thorough research, analysts come up with a hypothesis, test the hypothesis with data, and understand the effect before portfolio managers make decisions on investments as well as mitigate risks associated with their investments. Detect phrases – To find key phrases in recent quarterly reports using Amazon Comprehend.

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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning - AI

The backend is implemented by an LLM chain service running on AWS Fargate , a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. The following diagram illustrates this architecture. Anthropic Claude Instant Anthropic Claude 2.0

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New live online training courses

O'Reilly Media - Ideas

Understanding Business Strategy , August 14. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Text Analysis for Business Analytics with Python , August 12. Java Testing with Mockito and the Hamcrest Matchers , June 19. Testing Vue.js

Course 93
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Altexsoft - Untitled Article

Altexsoft

By the level of back-end management involved: Serverless data warehouses get their functional building blocks with the help of serverless services, meaning they are fully-managed by third-party vendors. Figure out if a vendor offers a free trial to test the waters before a purchase. Is it a flat-rate or on-demand model?

Backup 115
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Understanding Business Strategy , August 14. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Text Analysis for Business Analytics with Python , August 12. Java Testing with Mockito and the Hamcrest Matchers , June 19. Testing Vue.js

Course 66
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

Commonly referred to as simply Azure, Microsoft Azure is a cloud computing service that was introduced by tech-giant Microsoft back in 2010 for the purpose of testing, building, deploying and managing services and applications. According to Forbes, 63% of enterprises are currently running apps on Azure. Database Services.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning - AI

We recommend that customers test both Sonnet and Haiku to determine the optimal balance between performance and cost for their specific use case. Test the solution Let’s start with our example manufacturing client, who is building the next-generation EVs ( 'Manufacturing-Example' ). In his spare time, he enjoys traveling and sports.