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Real estate CIOs drive deals with data

CIO

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates. And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers.

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10 projects top of mind for IT leaders today

CIO

Artificial intelligence and machine learning Unsurprisingly, AI and machine learning top the list of initiatives CIOs expect their involvement to increase in the coming year, with 80% of respondents to the State of the CIO survey saying so. a real estate and parking investment, development, and operations company.

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Empowering everyone with GenAI to rapidly build, customize, and deploy apps securely: Highlights from the AWS New York Summit

AWS Machine Learning - AI

All of these services are secure by design, and we keep adding features that are critical to deploying generative AI applications tailored to your business. During the last 18 months, we’ve launched more than twice as many machine learning (ML) and generative AI features into general availability than the other major cloud providers combined.

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Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

AWS Machine Learning - AI

SageMaker Studio is a single web-based interface for end-to-end machine learning (ML) development. He helps AWS customers overcome business challenges related to AI/ML on top of AWS. He has more than 18 years working with technology, from software development, infrastructure, serverless, to machine learning.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

CBRE is the world’s largest commercial real estate services and investment firm, with 130,000 professionals serving clients in more than 100 countries. The opportunities to unlock value using AI in the commercial real estate lifecycle starts with data at scale.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

This allows SageMaker Studio users to perform petabyte-scale interactive data preparation, exploration, and machine learning (ML) directly within their familiar Studio notebooks, without the need to manage the underlying compute infrastructure. Pranav Murthy is an AI/ML Specialist Solutions Architect at AWS.

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Import a question answering fine-tuned model into Amazon Bedrock as a custom model

AWS Machine Learning - AI

As an Information Technology Leader, Jay specializes in artificial intelligence, generative AI, data integration, business intelligence, and user interface domains. Prior to this role, he worked as a Machine Learning Engineer building and hosting models. Evandro Franco is a Sr.