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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

With AI-powered tools and analytics, it has become easier than ever to build not just one story but customized stories to appear to end-users’ unique tastes and sensibilities. An example of a customized image search is Enterprise Resource Planning (ERP). This is where image-to-text models can be a game changer.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more.

APIs 129
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Build a custom UI for Amazon Q Business

AWS Machine Learning

Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories and enterprise systems. Amazon Q uses the chat_sync API to carry out the conversation.

APIs 124
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WFO Trends in 2020

DMG Consulting

2019 was the year of artificial intelligence (AI), automation and analytics, a trend that has continued in 2020 and into the foreseeable future, despite the pandemic. Adoption of cloud-based recording is starting to pick up momentum, as is analytics-enabled quality management (QM). . WFO Trends in 2020.

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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted.

Scripts 112
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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 79
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Cloud-Based ACDs and Dialers Come of Age

DMG Consulting

The “platform as a service” paradigm, which essentially leverages application programming interfaces (APIs) to build out functional capabilities, makes it easier to build your own solution (BYOS). For example, a customer does not want to wait while an agent/advisor types up their notes or copies and pastes data in multiple systems.