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Gone Virtual: Recap of the CETX Conference

Callminer

With over a thousand registrants, our inaugural CETX and very first digital conference also marked one of our largest events to date. On day two, our audience experienced enlightening external keynotes from Don Peppers , one of the word’s leaders on CX and customer trust, on how to make more scientific decisions with customer data.

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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning

His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. He has published many papers in ACL, ICDM, KDD conferences, and Royal Statistical Society: Series A. Youngsuk Park is a Sr. He founded StylingAI Inc.,

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Trusting Self-Service Analytics: Teradata and Alation Partner to Build Better A Application

Natalie Petouhof

the collaborative data company, to deliver a collaborative data catalog that brings trust in data to self-service analytics. . For example, eBay was recently honored at Teradata PARTNERS Conference and Expo with a Teradata EPIC Award for its self-service analytics with Alation. What Does This Mean To You?

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The Big Data Challenge/Opportunity: What it Means for Security

Customer Interactions

Organizations are similarly challenged by the overflow of Big Data from transactions, social media, records, interactions, documents, and sensors. But the ability to correlate and link all of this data, and derive meaningful insights, can offer a great opportunity. NICE Interactions Security Situation Management'

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members. In entered the Big Data space in 2013 and continues to explore that area. Nitin Eusebius is a Sr.

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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

She is passionate about designing cloud-centered big data workloads. She has over 20 years of IT experience in software development, analytics, and architecture across multiple domains such as finance, retail, and telecom. In her free time, she likes to go for long runs along the beach.

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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning

In entered the Big Data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies.