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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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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

This data is information rich but can be vastly heterogenous. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. AI/ML Solutions Architect in the Global Healthcare and Life Sciences team. Nihir Chadderwala is a Sr.

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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.

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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.

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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?

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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.

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

AWS Machine Learning

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services. He recharges through reading, traveling, food and wine, discovering new music, and advising early-stage startups.