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Using Text Mining on Reviews Data to Generate Business Insights!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Textual data from social media posts, customer feedback, and reviews are valuable resources for any business. There is a host of useful information in such unstructured data that we can discover.

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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

As explained in a previous CIO.com article 5 , data is the fuel that powers AI capabilities, and storage is the tank that stores that fuel. In many cases, the data storage systems that utilities have today are not the systems needed to enable AI. Without the right storage, AI processing can come to a halt.

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IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

IBM Big Data Hub

And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. These applications are all hosted on the IBM Cloud to ensure uninterrupted availability.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

In this article, we are going to look at how software development can leverage on Big Data. We will also briefly have a sneak preview of the connection between AI and Big Data. Unstructured. Unstructured data lacks a specific format or structure. What is Software Development? Semi-structured. Final Thoughts.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

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Postgres vs. MongoDB for Storing JSON Data — Which Should You Choose?

Sisense

they’re great for handling large volumes of unstructured data, at speed. That said, the application itself must insert meaningful data, and you might have to put a lot of effort into maintaining the software. Are you using static JSON data? It’s more complex than that, as this article has no doubt shown.

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Migrate Hive data from CDH to CDP public cloud

Cloudera

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Visit this community article for step-by-step details.