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Prescriptive analytics: The way forward for Big Data

Hero Digital

This, in a nutshell, is prescriptive analytics. For a long time, the field of data and analytics was focused on describing what happened — how many customers bought the product, what they looked like, how many came back, etc. With the advent of advanced ML algorithms, analytics has now entered the prescriptive phase.

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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. Conclusion In this post, we discussed how we can generate value from enterprise data using natural language to SQL generation.

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The Power of Voice Analytics

Spearline

With many millions of customer conversations happening each and every day, voice traffic is very much “big data”. This data offers insights to those who choose to look deeply. Voice analytics promises to measure customer emotion in each call. Voice analytics can also alert management to what is absent in a conversation.

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Leveraging Big Data to Fine Tune Customer Experiences

Avaya

Whether you realize it or not, big data is at the heart of practically everything we do today. In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities. If you ask us, though, the best customer experiences today are supported by customer journey analytics.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

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The Evolving Chief Customer Officer: Identifying Value, Authority, Scope, Responsibilities, and Strategic Direction Within the Enterprise

Beyond Philosophy

Reflective of the escalating focus on customer data, experiences, and relationships across all methods of communication and access, the role is rapidly evolving and morphing; however, there is general agreement regarding its significance in building and sustaining true value, planning capability, and enterprise customer-centricity.