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Gone Virtual: Recap of the CETX Conference

Callminer

While it may not have been our typical, in-person experience filled with cocktail hours and outdoor activities, there was no shortage of entertainment and powerful and engaging insight from the customer experience (CX) and contact center industry’s most influential leaders, and hands-on practitioners. The great online kick-off.

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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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Contact Center and CX Expos Conferences and Summits – June 2018

Taylor Reach Group

The SWPP Annual Conference will provide multiple educational sessions, facilitated discussions on relevant topics, and a vendor showroom, as well as great food, exciting entertainment, and spectacular fun! Big Data & Analytics for Retail Summit : June 6-7, Chicago, IL. Is it possible to achieve churn reduction? and Now What?’

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Managing Contact Centers Through the COVID-19 Pandemic

DMG Consulting

In times of trouble, which is the case today, it’s typical for customers to reach out more frequently to the companies with whom they conduct business, particularly healthcare organizations, insurance companies and financial services organizations. This is always a best practice, but with COVID-19 it can save lives.

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A detailed guide on Data mining outsourcing service

Back Office Centers

A financial corporation, for instance, is not going to find much value in healthcare data. Below is a summary of the several types of data mining: · Healthcare Data Mining Clinics and hospitals handle data about patient records, medication logistics, and other areas. . There will be differences even in the manner the data is handled.

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

AWS Machine Learning

It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases. This is where image-to-text models can be a game changer.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Solution overview Let’s imagine a scenario where a movie entertainment company promotes movies to different users via an email campaign.