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Pandemic relief and restart industry solutions

Talkdesk

How do they communicate availability, schedule appointments, educate on what to expect, combat misinformation and manage logistics? Learn more about the Small Business Lending Solution. The post Pandemic relief and restart industry solutions appeared first on Talkdesk.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. By harnessing AWS generative AI, Accenture aims to transform efficiency for regulated industries like pharmaceuticals. The user-friendly system also employs encryption for security.

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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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EVERYTHING YOU NEED TO KNOW ABOUT STIR/SHAKEN

Hodusoft

In later years, STIR/SHAKEN was developed jointly by the SIP Forum and the Alliance for Telecommunications Industry Solutions (ATIS) to efficiently implement the Internet Engineering Task Force (IETF). Consumer education: Even though STIR/SHAKEN has been around for a while, it is still not known to many individuals and businesses.

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Accenture creates a Knowledge Assist solution using generative AI services on AWS

AWS Machine Learning

Accenture is working with AWS to help clients deploy Amazon Bedrock , utilize the most advanced foundational models such as Amazon Titan , and deploy industry-leading technologies such as Amazon SageMaker JumpStart and Amazon Inferentia alongside other AWS ML services. Jay Pillai is a Principal Solution Architect at Amazon Web Services.

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

AWS Machine Learning

Dataset overview The dataset used for this solution is pile-of-law within the Hugging Face repository. This is a collection of education casebooks curated in a JSONL format as required by the LLMs. This dataset is a large corpus of legal and administrative data. For this example, we use train.cc_casebooks.jsonl.xz

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Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

Column Name Description Age Continuous Workclass Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked fnlwgt continuous education Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.