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Talkdesk for Salesforce provides relief and recovery with industry solutions

Talkdesk

This technology package can reduce friction in the process with an end-to-end customer experience solution that streamlines the administration of PPP loans. Financial institutions can activate the Small Business Lending Solution in as little as 24 hours with some customers doing so in less than a day!

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23 Inspiring Women to Watch in 2023

TechSee

As part of our Women’s History Month and International Women’s Day initiatives, we asked our own TechSee Super Women to highlight some of the amazing leaders in the technology, service, and support industries who inspire them, have helped grow their careers, or simply deserve to be celebrated for being awesome.

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Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

AWS Machine Learning

We made it simple to get started with just an email address, without the need for installs, setups, credit cards, or an AWS account. Going forward every customer be required to link their account to a mobile phone number. Eda Johnson, Partner Industry Solutions Manager at Snowflake. Customer success stories.

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Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

Prerequisites Before getting started, make sure you have the following prerequisites: An AWS account. Follow the instructions in Getting Started with the AWS CDK to set up your local environment and bootstrap your development account. We encourage you to deploy the AWS CDK app into your account and build the Generative AI solution.

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Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. Prerequisites To use the batch inference feature, make sure you have satisfied the following requirements: An active AWS account.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

Their clients have provided some basic public information during sign-up, such as state of location, industry vertical, company size, and their mission statement. Client profiles – We have three business clients in the construction, manufacturing, and mining industries, which are mid-to-enterprise companies. Our core values are: 1.

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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

Overall, ML use cases require a readily available integrated solution to industrialize and streamline the process that takes an ML model from development to production deployment at scale using MLOps. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).

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