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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

With rapid advancements in machine learning, generative AI, and big data, 2025 is set to be a landmark year for AI discussions, breakthroughs, and collaborations. Big Data & AI World Dates: March 1013, 2025 Location: Las Vegas, Nevada In todays digital age, data is the new oil, and AI is the engine that powers it.

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

AWS Machine Learning Blog

In this post, we explore a practical solution that uses Streamlit , a Python library for building interactive data applications, and AWS services like Amazon Elastic Container Service (Amazon ECS), Amazon Cognito , and the AWS Cloud Development Kit (AWS CDK) to create a user-friendly generative AI application with authentication and deployment.

AWS
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Forget the hype — real AI agents solve bounded problems, not open-world fantasies

Flipboard

Solve what’s right in front of you Open-world problems make for great demos and even better funding rounds. That’s fine for demos and consumer apps, but it’s not how enterprise AI will actually work in practice. That’s how you build agents that don’t just look good in demos but actually run, scale and deliver in production.

AI
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Kumo’s ‘relational foundation model’ predicts the future your LLM can’t see

Flipboard

During a demo, Leskovec showed how a user could type a simple query to predict whether a specific customer would place an order in the next 30 days. Within seconds, the system returned a probability score and an explanation of the data points that led to its conclusion, such as the user’s recent activity or lack thereof.

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

AWS Machine Learning Blog

Although we previously demonstrated a usage scenario that involves a direct chat with the Amazon Bedrock application, you can also invoke the application from within a Google chat space, as illustrated in the following demo. Customize the solution In this post, we used Amazon Bedrock to power the chat-based assistant.

AWS
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Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

AWS Machine Learning Blog

He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. intended_uses="Not used except this test.", factors_affecting_model_efficiency="No.",

ML
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Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

And if you can’t wait to try it yourself, check out the Tecton interactive demo and observe a fraud detection use case in action. To get started, refer to Getting Started with Amazon SageMaker & Tecton’s Feature Platform , a more detailed guide on how to use Tecton with Amazon SageMaker. You can also find Tecton at AWS re:Invent.

ML