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Marsh McLennan IT reorg lays foundation for gen AI

CIO

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. But the CIO had several key objectives to meet before launching the transformation.

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Marsh McLellan IT reorg lays foundation for gen AI

CIO

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. But the CIO had several key objectives to meet before launching the transformation.

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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning - AI

Prerequisites Before you dive into the integration process, make sure you have the following prerequisites in place: AWS account – You’ll need an AWS account to access and use Amazon Bedrock. You can interact with Amazon Bedrock using AWS SDKs available in Python, Java, Node.js, and more.

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Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

AWS Machine Learning - AI

In the following sections, we walk you through constructing a scalable, serverless, end-to-end Public Speaking Mentor AI Assistant with Amazon Bedrock, Amazon Transcribe , and AWS Step Functions using provided sample code. The following diagram shows our solution architecture. Sonnet on Amazon Bedrock in your desired AWS Region.

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The rise of the data lakehouse: A new era of data value

CIO

Moonfare, a private equity firm, is transitioning from a PostgreSQL-based data warehouse on AWS to a Dremio data lakehouse on AWS for business intelligence and predictive analytics. When the implementation goes live in the fall of 2022, business users will be able to perform self-service analytics on top of data in AWS S3.

Data 210
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14 in-demand cloud roles companies are hiring for

CIO

Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. These pros are experts in the cloud and stay on top of the latest innovations in cloud technology to better advise business leaders.

Cloud 195
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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning - AI

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using the Amazon Web Services (AWS) tools without having to manage infrastructure. The following diagram depicts a high-level RAG architecture.