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

AWS Machine Learning

This is where providing vector embeddings of a centralized or unified data catalog to the LLMs results in more accurate and comprehensive information returned by the LLMs. Conclusion In this post, we discussed how we can generate value from enterprise data using natural language to SQL generation. Nitin Eusebius is a Sr.

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Turning Big Data Into Big Rewards

Clarabridge

Marketers are flunking the “big data test.” According to Gleanster Research, as many as eight out of 10 CMOs at large enterprise organizations believe they could be doing a far better job of using data to make better and more informed marketing decisions. So how can we make this data more manageable and more actionable?

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Prescriptive analytics: The way forward for Big Data

Hero Digital

Anonymous, disjointed behavioral data doesn’t help identify causal relationships. Choose your data sources and evaluate their readiness to create an action plan to remediate issues and/or obtain missing data. Implement a data-layer-centric martech architecture. Define and implement a data storage and hosting strategy.

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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. To effectively apply your data, you must first determine what you wish to achieve with your data in the first place.

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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.