Remove 2013 Remove Analytics Remove Big data
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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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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning

He entered the big data space in 2013 and continues to explore that area. Her specialization is machine learning, and she is actively working on designing solutions using various AWS ML, big data, and analytics offerings. He also holds an MBA from Colorado State University.

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11 Contact Center Technologies to Boost Customer Satisfaction

TechSee

Its intelligent knowledge base/self-service platform is powered by artificial intelligence, unified search, rich analytics, and machine learning. TechSee’s technology combines AI with deep machine learning, proprietary algorithms, and Big Data to deliver a scalable cognitive system that becomes smarter with every customer support interaction.

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The Vcare Top 50 Customer Care Influencers

Vcaretec

Connect: @AnnaSabryan Greg Sherry Bio: Software marketing VP | Tweet about Marketing, Customer Service, Customer Experience, Analytics, Big Data. He is a Customer Experience & ATL 2013 Huff Post Top 100 Social. #Customer Service, Customer Experience, CRM Cloud.

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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 focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies.

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Searching For A Clearer Voice

Connecting the Dots

Gerry Katz states in his December 2013 Quirks article that some analysts have hijacked the term voice of the customer by completely misusing it. 2 In an article published the April 2014 Quirks, Subbiah and Bosik further complicate the discussion by noting that the hype about big data and EFM is reaching a frenzy.