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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. For more information on how to manage model access, see Access Amazon Bedrock foundation models.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

The workflow includes the following steps: The process begins when a user sends a message through Google Chat, either in a direct message or in a chat space where the application is installed. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic.

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Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

TechCrunch

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

Cloud adoption will continue to grow in the Middle East, with an increasing number of organizations embracing multi-cloud and hybrid cloud solutions to enhance flexibility and scalability. The Internet of Things will also play a transformative role in shaping the regions smart city and infrastructure projects.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider. The biggest challenge is data.

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8 Most in Demand Programming Languages of 2021

The Crazy Programmer

It is used in developing diverse applications across various domains like Telecom, Banking, Insurance and retail. It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. Python is often employed in developing machine language and deep learning applications.

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Marsh McLellan IT reorg lays foundation for gen AI

CIO

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider. The biggest challenge is data.