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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning

Data is one of the most critical assets of many organizations. At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. This post is co-written with Emrah Kaya and Xinyi Zhou from Omron Europe.

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Transforming credit decisions using generative AI with Rich Data Co and AWS

AWS Machine Learning

The mission of Rich Data Co (RDC) is to broaden access to sustainable credit globally. Making credit decisions using AI can be challenging, requiring data science and portfolio teams to synthesize complex subject matter information and collaborate productively. In this example, we start with the data science or portfolio agent.

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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. For the multiclass classification problem to label support case data, synthetic data generation can quickly result in overfitting.

Education 112
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Consider a global retail site operating across multiple regions and countries.

APIs 107
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AI Workforce: using AI and Drones to simplify infrastructure inspections

AWS Machine Learning

Better data Automated data collection and analysis means fewer mistakes and more consistent results. Each drone follows predefined routes, with flight waypoints, altitude, and speed configured through an AWS API, using coordinates stored in Amazon DynamoDB. This makes inspections much safer.

APIs 116
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. At this point, you need to consider the use case and data isolation requirements.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.