Remove Analysis Remove Analytics Remove APIs Remove Big data
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Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Extraction phase. client('comprehend').

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6 Online Data Analyst Courses

JivoChat

There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow. The Data Analyst Course With the Data Analyst Course, you will be able to become a professional in this area, developing all the necessary skills to succeed in your career.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 115
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Elevate Your Call Center’s Performance with Speech Analytics

Talkdesk

Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center. Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center.”

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Elevate Your Call Center’s Performance with Speech Analytics

Talkdesk

Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center. Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center.”

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­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table. Apache Iceberg is an open table format for very large analytic datasets.

Scripts 73
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How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

Patsnap provides a global one-stop platform for patent search, analysis, and management. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. implement the model and the inference API. He is also passionate about building AI and analytic solutions.

APIs 66