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Americas FSI Digital Commentary: 3 Ways to Accelerate Digital Strategy in 2023

Cisco - Contact Center

A virtual or onsite workshop is a valuable way to explore top-of-mind use-cases, toolsets, and to get a solid understanding of what is available to get started and drive alignment and momentum across teams. Cloverhound is skilled in delivering solutions with the best of innovation and simplicity.

Banking 145
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Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

AWS Machine Learning

The action is an API that the model can invoke from an allowed set of APIs. Action groups are mapped to an AWS Lambda function and related API schema to perform API calls. Customers converse with the bot in natural language with multiple steps invoking external APIs to accomplish subtasks.

APIs 83
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Implement smart document search index with Amazon Textract and Amazon OpenSearch

AWS Machine Learning

The workshop Use machine learning to automate and process documents at scale is a good starting point to learn more about customizing workflows and using the other sample workflows as a base for your own. As a next step you can start to modify the workflow, add information to the documents in the search index and explore the IDP workshop.

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Business Agility Through Modernization

ConvergeOne

Get your company DNS records configured for the Avaya Cloud and its Apple Push Notification, API. It means being willing to review and appropriately adopt new best practices as they become available. Maybe it’s professional services to help deploy and configure to current best practices. And so on, and on, and on.

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Few-click segmentation mask labeling in Amazon SageMaker Ground Truth Plus

AWS Machine Learning

Using the SageMaker Inference Toolkit in building the Docker image allows us to easily use best practices for model serving and achieve low-latency inference. Finally, we use Amazon API Gateway as a way of integrating with our front end, the Ground Truth labeling application, to provide secure authentication to our backend.

Metrics 68
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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications. It offers an easy-to-use API and Python SDK, balancing quality and affordability. As a best practice, let’s save our work for future use.